require_once('config.php');
?>
foods (food)
literal strings: foods , FOODS , Foods
Help NELL Learn! NELL wants to know if these beliefs are correct. If they are or ever were, click thumbs-up. Otherwise, click thumbs-down.
categories
food (100.0%)
visualizablething (99.8%)OE @960 (90.6%) on 11-nov-2015 [ http://www.naturalnews.com/foods.html http://www.naturalnews.com/foods.html http://en.wikipedia.org/wiki/Food http://www.naturalnews.com/foods.html http://www.naturalnews.com/foods.html http://www.enjoylifefoods.com/our_foods/ http://www.naturalnews.com/foods.html http://en.wikipedia.org/wiki/Food http://www.naturalnews.com/foods.html http://www.naturalnews.com/foods.html http://www.naturalnews.com/foods.html http://www.naturalnews.com/foods.html http://www.naturalnews.com/foods.html http://www.naturalnews.com/foods.html http://www.naturalnews.com/foods.html http://www.naturalnews.com/foods.html http://www.naturalnews.com/foods.html http://www.naturalnews.com/foods.html http://en.wikipedia.org/wiki/Food http://www.naturalnews.com/foods.html http://en.wikipedia.org/wiki/Food http://www.naturalnews.com/foods ] using foods CPL @1108 (97.9%) on 06-jun-2018 [ "fries , fried _" "lots of raw _" "wide variety of delicious _" "bit of fresh _" "sauce , hot _" "sun dried _" "shortage of fresh _" "products , processed _" "coffee , hot _" "rice , whole _" "recipe for chinese _" "selection of cold _" "sugar , black _" "availability of fresh _" "allergens like _" "access to safe _" "vegetables , dried _" "animal based _" "alkaline forming _" "variety of fresh _" "importance of clean _" "meal of fried _" "wide variety of fresh _" "diet of natural _" "reliance on natural _" "fish , fresh _" "goods , frozen _" "Home cooked _" "recipes using fresh _" "I used whole _" "_ reinforced plastic" "_ are tender" "_ contain omega" "dependence on foreign _" "variety of processed _" "pints of _" "supplies of natural _" "amounts of simple _" "beans , green _" "lots of fresh _" "access to warm _" "coffee , black _" "rice , sweet _" "condos for _" "salads , grilled _" "_ grow under" "_ are prepared fresh" "quality frozen _" "_ are made fresh" "water , cook _" "assortment of fresh _" "vegetables , such as _" "vegetables , whole _" "consumption of raw _" "cancers of _" "quality of fresh _" "leftover cooked _" "oil , then add _" "delivery of natural _" "Diets high in _" "nutrients such as _" "selection of homemade _" "spaghetti with _" "introduction of exotic _" "assortment of different _" "neck of _" "supply of safe _" "vitamin D-fortified _" "foods , processed _" "fresh fruit , fresh _" "_ lengthwise into" "ice cream , frozen _" "homemade baked _" "I used fresh _" "label bottled _" "next couple of _" "_ taste better" "allergens such as _" "flour mixed with _" "pieces of dry _" "plenty of fresh _" "recipes for canned _" "rice , dried _" "chicken , grilled _" "certain foods , such as _" "era of cheap _" "fire roasted _" "chicken , baked _" "gluten containing _" "recipe whole _" "oven fried _" "natural colour of _" "plenty of cold _" "recipes for grilled _" "meats , whole _" "choice frozen _" "consumption of refined _" "drinking raw _" "cheese , smoked _" "variety of nutritious _" "vinegar based _" "price for natural _" "_ are non-fat" "consumption of certain _" "_ sauteed in" "wood fired _" "amount of essential _" "tablespoonful of _" "_ served daily" "production of essential _" "range of medical _" "heat , hot _" "lack of safe _" "lots of cold _" "_ containing sugar" "_ are heated through" "foods , fatty _" "flavor of fresh _" "use of hazardous _" "_ garnished with" "products , frozen _" "starches to _" "natural oils in _" "sources of fresh _" "metabolism boosting _" "meat , whole _" "access to healthy _" "abundance of fresh _" "I cooked _" "sugar , powdered _" "special information about _" "grains , including _" "energy , natural _" "price of natural _" "potassium rich _" "supplies of fresh _" "cheese , fresh _" "consumption of natural _" "recipes for healthy _" "foods , frozen _" "global supply of _" "_ are cooked through" "diet high in refined _" "cream , frozen _" "peppers , hot _" "selection of fresh _" "recipes for baked _" "wood smoked _" "we ate _" "spicy fried _" "sauce served with _" "fats , hydrogenated _" "export of natural _" "servings of whole _" "recipes for sweet _" "good home cooked _" "_ not made with" "bacon , smoked _" "_ are served buffet style" "eggs , orange _" "snacks between _" "_ marinated with" "rice , baked _" "quality of raw _" "allergens , such as _" "coffee , fresh _" "blend of fresh _" "demand for natural _" "chicken fried _" "variety of frozen _" "vegetables such as _" "sprouts , green _" "slow roasted _" "sugar found in _" "amounts of whole _" "we cooked _" "sugar , refined _" "consumption of green _" "delivery of fresh _" "chicken , fried _" "spicy Italian _" "consumption of fatty _" "chocolate covered _" "air , pure _" "apples , green _" "access to natural _" "benefit of green _" "spicy grilled _" "cars , exotic _" "_ contain carbohydrates" "_ becomes harder" "oil based _" "milk , fresh _" "natural resources like _" "more servings of _" "sugar , artificial _" "sources of natural _" "sales of natural _" "Terms of _" "_ contain lycopene" "_ containing carbohydrates" "_ are carbohydrates" "tea , hot _" "hot cooked _" "grains , fresh _" "products , whole _" "recipe for fried _" "properties of green _" "restaurant serves _" "lack of fresh _" "plenty of hot _" "sales of organic _" "recipe frozen _" "protein , whole _" "_ include butter" "consumption of foreign _" "carbs such as _" "brown rice , whole _" "great home cooked _" "foods like whole _" "lot of processed _" "_ dripping down" "_ is served at" "beer battered _" "beauty of real _" "bacon , fried _" "quantities of fresh _" "pre cooked _" "home delivered _" "_ containing fat" "_ are laid in" "kitchen preparing _" "amounts of refined _" "pressure treated _" "knowledge of medicinal _" "variety of healthy _" "tea without _" "water , drinking _" "variety of sweet _" "benefits of raw _" "cost of natural _" "meat , fried _" "intestinal absorption of _" "_ grilled with" "_ containing protein" "recipe with fresh _" "salad , grilled _" "_ containing vitamin" "_ are served at" "_ have powerful antioxidants" "natural look of _" "more grams of _" "provider of natural _" "calcium rich _" "small amount of hot _" "varieties of green _" "snacks in between _" "commodities , including _" "distribution of natural _" "_ are browned" "bacon wrapped _" "other cured _" "hormone free _" "intake of dietary _" "fish , dry _" "_ have minerals" "beans , dried _" "cost of organic _" "green beans , green _" "vitamin D fortified _" "prices for natural _" "field grown _" "favorite foods are _" "veggies , whole _" "vegetables , canned _" "benefits of organic _" "taste for human _" "seeds , green _" "fiber rich _" "_ are fried in" "intake of green _" "list of poisonous _" "saut ? _" "recipes for frozen _" "hot smoked _" "foods , such as _" "_ roasted coffee" "grass fed _" "_ are served family style" "_ are fortified with" "juice , hot _" "amount of cold _" "sale of raw _" "tsp of _" "source of raw _" "quantities of natural _" "supply of clean _" "choice of grilled _" "intake of certain _" "iron containing _" "water , natural _" "tablespoon of _" "cheese , fried _" "insulin response to _" "case of sour _" "cheese , baked _" "diet of raw _" "variety of wild _" "drinking contaminated _" "I 'm cooking _" "hard boiled _" "sources of raw _" "use of solid _" "sugar , white _" "nutrition , clean _" "diet rich in whole _" "eggs , sour _" "producer of natural _" "quality solid _" "net exporter of _" "oats , whole _" "kinds of fresh _" "_ is served every morning" "cold cooked _" "high quality raw _" "fats , refined _" "home , ate _" "stir into _" "vegetables , sweet _" "_ catered by" "recipe for spanish _" "foods , refined _" "carbohydrates , such as _" "cream filled _" "delicious smoked _" "carbohydrates such as _" "electricity , natural _" "prices for crude _" "distributor of natural _" "diet low in _" "_ include bread" "particles such as _" "fruits , green _" "fruit , fresh _" "high in refined _" "meals high in _" "source of dietary _" "spoonfuls of _" "sugar , processed _" "basilicas of _" "_ tossed with" "other processed _" "_ is served each morning" "use of essential _" "creation of national _" "such foods as _" "_ baked fresh" "_ containing tyramine" "c include _" "cabbage , green _" "compounds in green _" "beauty of natural _" "commodities including _" "stream of fresh _" "steam , hot _" "_ is served daily" "variety of green _" "body absorb _" "burglaries in _" "salt , white _" "preservatives , artificial _" "production of natural _" "protein include _" "I was eating _" "cost of raw _" "beans , fresh _" "I love fried _" "recipes fried _" "lean proteins , whole _" "influx of fresh _" "rice , fried _" "diet of whole _" "cheese , whole _" "foods , canned _" "few spoonfuls of _" "vegetables , green _" "types of green _" "_ are small files" "cheese , powdered _" "eggs , baked _" "plate of fried _" "production of conventional _" "plenty of clean _" "calories come from _" "dependency on foreign _" "demand for foreign _" "effects of green _" "chocolate dipped _" "deep fried _" "drizzle over _" "use of artificial _" "control over such _" "foods such as whole _" "exposure to hazardous _" "_ exporting nations" "_ eaten during" "amounts of essential _" "_ contain natural sugar" "_ containing lactose" "_ containing gluten" "intake of fatty _" "food , cold _" "hot , cooked _" "_ has many health benefits" "fruit , whole _" "exporter of natural _" "fewer processed _" "potatoes , baked _" "bags of frozen _" "agricultural products such as _" "array of fresh _" "_ topped with" "blood sugar after _" "bowl of hot _" "amount of refined _" "plenty of whole _" "I have always made _" "health benefits of green _" "starches into _" "Table of _" "blend of green _" "carbohydrates include _" "amounts of natural _" "allergens include _" "fish , whole _" "pint of _" "_ germinate in" "noodles , fried _" "terrace with _" "walk in _" "intake of refined _" "grains , dried _" "food , clean _" "drizzle of _" "steak , grilled _" "recipes for mexican _" "intake of whole _" "home baked _" "_ containing omega" "supply of natural _" "water , green _" "amounts of hot _" "_ sautéed in" "_ grown outdoors" "delicious home cooked _" "children’s play _" "diet rich in _" "chicken , fresh _" "coffee , organic _" "use of natural _" "style fried _" "recipes using canned _" "restaurants serving _" "recipes for fried _" "recipe for whole _" "prices of natural _" "beans , whole _" "supplier of natural _" "many processed _" "flasks of _" "freshest local _" "benefits of whole _" "commodities like _" "reliance on foreign _" "recipes for fresh _" "abundance of natural _" "eggs , fresh _" "consumer packaged _" "cooking time for _" "cu" ] using foods
NELL has only weak evidence for items listed in grey grain SEAL @334 (55.8%) on 04-jul-2011 [ 1 ] using foods
nut SEAL @179 (50.0%) on 15-dec-2010 [ 1 ] using foods
agriculturalproduct SEAL @776 (55.3%) on 08-oct-2013 [ 1 ] using foods Seed OE @806 (93.6%) on 23-jan-2014 [ ] using foods
relations
foodcancausedisease blood_sugar (physiologicalcondition) (100.0%)
blood_pressure (disease) (98.5%)CPL @1104 (75.0%) on 18-mar-2018 [ "arg2 United natrual arg1" "arg2 reduction with natural arg1" ] using (foods, blood_pressure) OE @809 (94.2%) on 01-feb-2014 [ ] using (foods, blood_pressure)
fooddecreasestheriskofdisease breast_cancer (100.0%)OE @803 (100.0%) on 13-jan-2014 [ ] using (foods, breast_cancer)
prostate_cancer (100.0%)OE @803 (99.7%) on 13-jan-2014 [ ] using (foods, prostate_cancer) CPL @1094 (99.8%) on 01-jan-2018 [ "arg1 that may help fight arg2" "arg1 may lower the risk of arg2" "arg1 decreases the risk of arg2" "arg1 may lower their risk of arg2" "arg1 lowered their risk of arg2" "arg1 that help protect against arg2" "arg1 can lower risk of arg2" "arg1 protect against arg2" "arg1 might help prevent arg2" ] using (foods, prostate_cancer)
cancer (disease) (99.6%)OE @809 (99.6%) on 01-feb-2014 [ ] using (foods, cancer)
diseases (disease) (99.2%)CPL @1094 (99.2%) on 01-jan-2018 [ "arg1 which fight arg2" "arg1 can lower the risk of arg2" "arg1 that help the body fight arg2" "arg1 decreases the risk of arg2" "arg1 protect against arg2" "arg1 help prevent arg2" "arg1 to eat to prevent arg2" ] using (foods, diseases)
heart_disease (disease) (98.5%)
depression (disease) (98.4%)CPL @1104 (98.4%) on 18-mar-2018 [ "arg1 that are known to fight arg2" "arg1 help to fight arg2" "arg1 may help ward off arg2" "arg1 diet protects against arg2" "arg1 that may help protect against arg2" "arg1 scarce during the great arg2" ] using (foods, depression)
cardiovascular_disease (disease) (96.9%)CPL @1095 (96.9%) on 17-jan-2018 [ "arg1 lower the risk of arg2" "arg1 can lower the risk of arg2" "arg1 decreases the risk of arg2" "arg1 appears to be protective against arg2" "arg1 that reduce your risk of arg2" ] using (foods, cardiovascular_disease)
inverseofanimaleatfood birds (bird) (100.0%)CPL @1095 (96.9%) on 17-jan-2018 [ "arg2 can be fed to your arg1" "arg2 for conure arg1" "arg2 that draw cardinal arg1" "arg2 for budgie arg1" "arg2 are relished by arg1" ] using (birds, foods) Human feedback from estevam @465 on 08-dec-2011 [ "birds animaleatfood foods", Action=(+animaleatfood) (from NELL.08m.465.SSFeedback.csv) ] using (birds, foods)
NELL has only weak evidence for items listed in grey controlledbyagent john_mackey CPL @1098 (87.5%) on 21-jan-2018 [ "arg2 founder and CEO arg1" "arg2 and its CEO arg1" "arg2 founder and chief executive arg1" ] using (john_mackey, foods)
foodcancausedisease blood_cholesterol_levels CPL @1104 (75.0%) on 18-mar-2018 [ "arg1 that cause high arg2" "arg1 can help lower arg2" ] using (foods, blood_cholesterol_levels)
heartburn CPL @1114 (50.0%) on 18-aug-2018 [ "arg1 in your diet can cause arg2" ] using (foods, heartburn)
high_blood_pressure (disease)CPL @1114 (50.0%) on 18-aug-2018 [ "arg2 United natrual arg1" ] using (foods, high_blood_pressure)
hypertension (disease)CPL @1098 (75.0%) on 21-jan-2018 [ "arg1 proven to lower arg2" "arg1 sildenafil in pulmonary arg2" ] using (foods, hypertension)
fooddecreasestheriskofdisease acid_reflux CPL @1114 (50.0%) on 18-aug-2018 [ "arg1 help prevent arg2" ] using (foods, acid_reflux)
acne (disease)CPL @1108 (75.0%) on 07-jun-2018 [ "arg1 help prevent arg2" "arg1 help to fight arg2" ] using (foods, acne)
alzheimer CPL @1108 (50.0%) on 07-jun-2018 [ "arg1 to eat to prevent arg2" ] using (foods, alzheimer)
alzheimer_s CPL @1109 (50.0%) on 12-jun-2018 [ "arg1 that may help protect against arg2" ] using (foods, alzheimer_s)
artery_disease (disease)CPL @1105 (50.0%) on 25-mar-2018 [ "arg1 increase the risk of coronary arg2" ] using (foods, artery_disease)
cavities CPL @1115 (50.0%) on 27-aug-2018 [ "arg1 help prevent arg2" ] using (foods, cavities)
colorectal_cancer (disease)CPL @1113 (50.0%) on 03-aug-2018 [ "arg1 may lower your risk of arg2" ] using (foods, colorectal_cancer)
food_poisoning (disease)CPL @1109 (50.0%) on 12-jun-2018 [ "arg1 help prevent arg2" ] using (foods, food_poisoning)
gout (disease)CPL @1107 (50.0%) on 24-may-2018 [ "arg1 help prevent arg2" ] using (foods, gout)
heart_problems CPL @1104 (75.0%) on 18-mar-2018 [ "arg1 helpful in preventing arg2" "arg1 prevent cancer and arg2" ] using (foods, heart_problems)
hepatitis_c (disease)CPL @1108 (50.0%) on 07-jun-2018 [ "arg1 known to protect against arg2" ] using (foods, hepatitis_c)
morning_sickness (disease)CPL @1099 (50.0%) on 23-jan-2018 [ "arg1 might help prevent arg2" ] using (foods, morning_sickness)
ovarian_cancer CPL @1107 (50.0%) on 24-may-2018 [ "arg1 help prevent arg2" ] using (foods, ovarian_cancer)
polyps CPL @1098 (75.0%) on 21-jan-2018 [ "arg1 and the risk of colorectal arg2" "arg1 prevent colon arg2" ] using (foods, polyps)
type_1_diabetes CPL @1115 (50.0%) on 27-aug-2018 [ "arg1 protect against arg2" ] using (foods, type_1_diabetes)
inverseofanimaleatfood pests CPL @1105 (75.0%) on 25-mar-2018 [ "arg2 genetically modified to resist arg1" "arg2 genetically engineered to resist arg1" ] using (pests, foods)
bears CPL @1098 (50.0%) on 21-jan-2018 [ "arg1 with sweet sticky arg2" ] using (bears, foods)
humans CPL @1100 (50.0%) on 31-jan-2018 [ "arg1 eat plant arg2" ] using (humans, foods)
inverseofbacteriacancauseillnessfromfood e__coli CPL @1109 (50.0%) on 12-jun-2018 [ "arg1 outbreaks traced to arg2" ] using (e__coli, foods)
salmonella CPL @1109 (75.0%) on 12-jun-2018 [ "arg1 outbreaks traced to arg2" "arg1 infections after eating arg2" ] using (salmonella, foods)
inverseofinvertebratefeedonfood pests CPL @1104 (87.5%) on 18-mar-2018 [ "arg2 genetically modified to resist arg1" "arg2 genetically engineered to resist arg1" "arg2 are more susceptible to insect arg1" ] using (pests, foods)
mutualproxyfor heart_association CPL @1114 (50.0%) on 18-aug-2018 [ "arg2 certified by the American arg1" ] using (heart_association, foods) CPL @1114 (50.0%) on 18-aug-2018 [ "arg2 certified by the American arg1" ] using (foods, heart_association)
proxyof john_mackey CPL @1103 (87.5%) on 06-mar-2018 [ "arg2 founder and CEO arg1" "arg2 and its CEO arg1" "arg2 founder and chief executive arg1" ] using (john_mackey, foods)
superpartof john_mackey CPL @1103 (87.5%) on 06-mar-2018 [ "arg2 founder and CEO arg1" "arg2 and its CEO arg1" "arg2 founder and chief executive arg1" ] using (john_mackey, foods)
academicfieldusedinjobposition doctor CPL @1107 (75.0%) on 24-may-2018 [ "arg1 or nurse what arg2" "arg1 if you are allergic to arg2" ] using (doctor, foods)
physician CPL @1116 (50.0%) on 06-sep-2018 [ "arg1 if you are allergic to arg2" ] using (physician, foods)
agentcollaborateswithagent john_mackey CPL @1095 (87.5%) on 17-jan-2018 [ "arg1 founder and CEO arg2" "arg1 and its CEO arg2" "arg1 founder and chief executive arg2" ] using (john_mackey, foods) CPL @1095 (87.5%) on 17-jan-2018 [ "arg1 founder and CEO arg2" "arg1 and its CEO arg2" "arg1 founder and chief executive arg2" ] using (foods, john_mackey)
animalpredators larvae CPL @1104 (75.0%) on 18-mar-2018 [ "arg2 like worms and arg1" "arg2 such as dragonfly arg1" ] using (larvae, foods)
cats CPL @1103 (75.0%) on 06-mar-2018 [ "arg1 ate other arg2" "arg1 and other pet arg2" ] using (cats, foods)
animaltypehasanimal mites (arachnid)CPL @1109 (50.0%) on 12-jun-2018 [ "arg1 are hardy little arg2" ] using (mites, foods)
mussels CPL @1103 (87.5%) on 06-mar-2018 [ "arg2 such as snails or arg1" "arg2 such as shrimps and arg1" "arg2 such as prawns and arg1" ] using (mussels, foods)
oysters CPL @1115 (50.0%) on 27-aug-2018 [ "arg1 and other sea arg2" ] using (oysters, foods)
lobsters CPL @1097 (75.0%) on 19-jan-2018 [ "arg1 or other sea arg2" "arg1 and other sea arg2" ] using (lobsters, foods)
shrimp
mites (insect)CPL @1109 (50.0%) on 12-jun-2018 [ "arg1 are hardy little arg2" ] using (mites, foods)
bloodworms CPL @1103 (87.5%) on 06-mar-2018 [ "arg2 such as shrimps and arg1" "arg2 from algae to arg1" "arg2 such as insects and arg1" ] using (bloodworms, foods)
scallops CPL @1099 (75.0%) on 23-jan-2018 [ "arg1 or other sea arg2" "arg1 and other small arg2" ] using (scallops, foods)
worms CPL @1103 (87.5%) on 06-mar-2018 [ "arg2 such as insects and arg1" "arg2 such as crickets and arg1" "arg2 such as snails or arg1" ] using (worms, foods)
cats CPL @1103 (87.5%) on 06-mar-2018 [ "arg1 ate other arg2" "arg1 and other pet arg2" "arg1 eat many of the same arg2" ] using (cats, foods)
sheep CPL @1116 (50.0%) on 06-sep-2018 [ "arg1 and goats and other arg2" ] using (sheep, foods)
chemicaltypehaschemical carbon CPL @1095 (96.9%) on 17-jan-2018 [ "arg1 footprint of their arg2" "arg1 dioxide and arg2" "arg1 dioxide than other arg2" "arg1 dioxide arg2" "arg1 footprint of its arg2" ] using (carbon, foods)
dioxide CPL @1097 (96.9%) on 19-jan-2018 [ "arg2 include sulfur arg1" "arg2 and breathe out carbon arg1" "arg2 create carbon arg1" "arg2 from carbon arg1" "arg2 to produce carbon arg1" ] using (dioxide, foods)
emissions CPL @1114 (75.0%) on 18-aug-2018 [ "arg2 and carbon arg1" "arg2 produce less carbon arg1" ] using (emissions, foods)
companyceo john_mackey CPL @1099 (87.5%) on 23-jan-2018 [ "arg2 founder and CEO arg1" "arg2 and its CEO arg1" "arg2 founder and chief executive arg1" ] using (john_mackey, foods)
countryhascitizen queen CPL @1105 (50.0%) on 25-mar-2018 [ "arg1 Mary University of London in arg2" ] using (queen, foods)
foodcancausedisease blood_pressure (academicfield)CPL @1104 (75.0%) on 18-mar-2018 [ "arg2 United natrual arg1" "arg2 reduction with natural arg1" ] using (foods, blood_pressure) OE @809 (94.2%) on 01-feb-2014 [ ] using (foods, blood_pressure)
cholesterol_study (academicfield)CPL @1100 (50.0%) on 31-jan-2018 [ "arg1 cause high arg2" ] using (foods, cholesterol_study)
food_history (academicfield)CPL @1105 (50.0%) on 25-mar-2018 [ "arg1 that lower your arg2" ] using (foods, food_history)
hypertension (academicfield)CPL @1098 (75.0%) on 21-jan-2018 [ "arg1 proven to lower arg2" "arg1 sildenafil in pulmonary arg2" ] using (foods, hypertension)
level (academicfield)CPL @1116 (50.0%) on 06-sep-2018 [ "arg1 helps to lower arg2" ] using (foods, level)
blood_pressure (agriculturalproduct)CPL @1104 (75.0%) on 18-mar-2018 [ "arg2 United natrual arg1" "arg2 reduction with natural arg1" ] using (foods, blood_pressure) OE @809 (94.2%) on 01-feb-2014 [ ] using (foods, blood_pressure)
cholesterol (agriculturalproduct)
level (agriculturalproduct)CPL @1116 (50.0%) on 06-sep-2018 [ "arg1 helps to lower arg2" ] using (foods, level)
blood_pressure_medications (archaea)CPL @1108 (50.0%) on 07-jun-2018 [ "arg1 cause high arg2" ] using (foods, blood_pressure_medications)
cholesterol (artery)
level (artery)CPL @1116 (50.0%) on 06-sep-2018 [ "arg1 helps to lower arg2" ] using (foods, level)
decay (arthropod)CPL @1113 (50.0%) on 03-aug-2018 [ "arg1 cause dental arg2" ] using (foods, decay)
risks (automobileengine)CPL @1095 (87.5%) on 17-jan-2018 [ "arg1 daily can lower arg2" "arg1 that will help lower arg2" "arg1 that lower your arg2" ] using (foods, risks)
gi (automobilemodel)CPL @1104 (50.0%) on 18-mar-2018 [ "arg1 to eat to lower arg2" ] using (foods, gi)
blood_glucose_levels CPL @1096 (75.0%) on 18-jan-2018 [ "arg1 can help even out arg2" "arg1 can help lower your arg2" ] using (foods, blood_glucose_levels)
cholesterol_levels
glucose_levels CPL @1099 (50.0%) on 23-jan-2018 [ "arg1 can trigger high arg2" ] using (foods, glucose_levels)
insulin_levels (bacteria)CPL @1097 (75.0%) on 19-jan-2018 [ "arg1 cause high arg2" "arg1 can lead to high arg2" ] using (foods, insulin_levels)
ldl_cholesterol (bacteria)CPL @1095 (87.5%) on 17-jan-2018 [ "arg1 has been found to lower arg2" "arg1 is effective in lowering arg2" "arg1 can help lower your arg2" ] using (foods, ldl_cholesterol)
plaque (bacteria)CPL @1109 (50.0%) on 12-jun-2018 [ "arg1 are less likely to accumulate arg2" ] using (foods, plaque)
serum_cholesterol_levels CPL @1103 (75.0%) on 06-mar-2018 [ "arg1 in the diet on arg2" "arg1 may also help lower arg2" ] using (foods, serum_cholesterol_levels)
triglyceride_levels (bacteria)CPL @1100 (50.0%) on 31-jan-2018 [ "arg1 helps lower arg2" ] using (foods, triglyceride_levels)
plaque (bedroomitem)CPL @1109 (50.0%) on 12-jun-2018 [ "arg1 are less likely to accumulate arg2" ] using (foods, plaque)
risk CPL @1094 (100.0%) on 01-jan-2018 [ "arg1 help in decreasing arg2" "arg1 helps lower arg2" "arg1 can also help to lower arg2" "arg1 may help lower arg2" "arg1 can help lower arg2" "arg1 can help lower your arg2" "arg1 has been shown to lower arg2" "arg1 seems to lower arg2" "arg1 that will help lower arg2" "arg1 can help to lower arg2" "arg1 that lower your arg2" "arg1 may help lower your arg2" "arg1 also appears to lower arg2" ] using (foods, risk) OE @893 (100.0%) on 30-dec-2014 [ http://www.naturalnews.com/foods.html http://www.naturalnews.com/foods.html http://www.naturalnews.com/foods.html ] using (foods, risk)
cholesterol_hand CPL @1099 (50.0%) on 23-jan-2018 [ "arg1 that will help lower arg2" ] using (foods, cholesterol_hand)
rise (bodypart)CPL @1109 (50.0%) on 12-jun-2018 [ "arg1 causing high arg2" ] using (foods, rise)
chances (bone)CPL @1109 (50.0%) on 12-jun-2018 [ "arg1 can help lower your arg2" ] using (foods, chances)
level (braintissue)CPL @1116 (50.0%) on 06-sep-2018 [ "arg1 helps to lower arg2" ] using (foods, level)
potassium_foods CPL @1114 (50.0%) on 18-aug-2018 [ "arg1 to avoid with high arg2" ] using (foods, potassium_foods)
cholesterol (celltype)
histamine_levels (charactertrait)CPL @1100 (50.0%) on 31-jan-2018 [ "arg1 can contribute to high arg2" ] using (foods, histamine_levels)
insulin_levels (charactertrait)CPL @1097 (75.0%) on 19-jan-2018 [ "arg1 cause high arg2" "arg1 can lead to high arg2" ] using (foods, insulin_levels)
triglyceride_levels (charactertrait)CPL @1100 (50.0%) on 31-jan-2018 [ "arg1 helps lower arg2" ] using (foods, triglyceride_levels)
blood_glucose CPL @1113 (50.0%) on 03-aug-2018 [ "arg1 may help to lower arg2" ] using (foods, blood_glucose)
blood_pressure (chemical)CPL @1104 (75.0%) on 18-mar-2018 [ "arg2 United natrual arg1" "arg2 reduction with natural arg1" ] using (foods, blood_pressure) OE @809 (94.2%) on 01-feb-2014 [ ] using (foods, blood_pressure)
blood_pressure_recipes (chemical)CPL @1100 (50.0%) on 31-jan-2018 [ "arg1 cause high arg2" ] using (foods, blood_pressure_recipes)
catalysts (chemical)CPL @1104 (75.0%) on 18-mar-2018 [ "arg2 to release energy from arg1" "arg2 in breaking down complex arg1" ] using (foods, catalysts)
cholesterol (chemical)
histamine_levels (chemical)CPL @1100 (50.0%) on 31-jan-2018 [ "arg1 can contribute to high arg2" ] using (foods, histamine_levels)
insulin_levels (chemical)CPL @1097 (75.0%) on 19-jan-2018 [ "arg1 cause high arg2" "arg1 can lead to high arg2" ] using (foods, insulin_levels)
simple_sugars (chemical)
uric_acid (chemical)CPL @1104 (50.0%) on 18-mar-2018 [ "arg1 causing high arg2" ] using (foods, uric_acid)
rise (color)CPL @1109 (50.0%) on 12-jun-2018 [ "arg1 causing high arg2" ] using (foods, rise)
bp CPL @1095 (75.0%) on 17-jan-2018 [ "arg1 may help lower arg2" "arg1 can lower high arg2" ] using (foods, bp)
bp001 CPL @1095 (75.0%) on 17-jan-2018 [ "arg1 may help lower arg2" "arg1 can lower high arg2" ] using (foods, bp)
cornerstone (company)CPL @1115 (50.0%) on 27-aug-2018 [ "arg1 Carbohydrates are arg2" ] using (foods, cornerstone)
glycemic_index CPL @1096 (75.0%) on 18-jan-2018 [ "arg1 helps lower arg2" "arg1 can help to lower arg2" ] using (foods, glycemic_index)
trans (conference)
blood_pressure_servers CPL @1099 (50.0%) on 23-jan-2018 [ "arg1 reduce high arg2" ] using (foods, blood_pressure_servers)
level (currency)CPL @1116 (50.0%) on 06-sep-2018 [ "arg1 helps to lower arg2" ] using (foods, level)
level (date)CPL @1116 (50.0%) on 06-sep-2018 [ "arg1 helps to lower arg2" ] using (foods, level)
chances (disease)CPL @1109 (50.0%) on 12-jun-2018 [ "arg1 can help lower your arg2" ] using (foods, chances)
insurance_premiums CPL @1098 (50.0%) on 21-jan-2018 [ "arg1 may help lower arg2" ] using (foods, insurance_premiums)
chances (eventoutcome)CPL @1109 (50.0%) on 12-jun-2018 [ "arg1 can help lower your arg2" ] using (foods, chances)
decay (eventoutcome)CPL @1113 (50.0%) on 03-aug-2018 [ "arg1 cause dental arg2" ] using (foods, decay)
rise (eventoutcome)CPL @1109 (50.0%) on 12-jun-2018 [ "arg1 causing high arg2" ] using (foods, rise)
gi (food)CPL @1104 (50.0%) on 18-mar-2018 [ "arg1 to eat to lower arg2" ] using (foods, gi)
simple_sugars (food)
trans (food)
chances (fungus)CPL @1109 (50.0%) on 12-jun-2018 [ "arg1 can help lower your arg2" ] using (foods, chances)
food_history (fungus)CPL @1105 (50.0%) on 25-mar-2018 [ "arg1 that lower your arg2" ] using (foods, food_history)
uric_acid (fungus)CPL @1104 (50.0%) on 18-mar-2018 [ "arg1 causing high arg2" ] using (foods, uric_acid)
levels (hobby)
incidence CPL @1108 (50.0%) on 07-jun-2018 [ "arg1 helps to lower arg2" ] using (foods, incidence)
trans (island)
plaque (kitchenitem)CPL @1109 (50.0%) on 12-jun-2018 [ "arg1 are less likely to accumulate arg2" ] using (foods, plaque)
risks (landscapefeatures)CPL @1095 (87.5%) on 17-jan-2018 [ "arg1 daily can lower arg2" "arg1 that will help lower arg2" "arg1 that lower your arg2" ] using (foods, risks)
high_blood_pressure (medicalprocedure)CPL @1114 (50.0%) on 18-aug-2018 [ "arg2 United natrual arg1" ] using (foods, high_blood_pressure)
gi (mlconference)CPL @1104 (50.0%) on 18-mar-2018 [ "arg1 to eat to lower arg2" ] using (foods, gi)
gi (mldataset)CPL @1104 (50.0%) on 18-mar-2018 [ "arg1 to eat to lower arg2" ] using (foods, gi)
level (mlmetric)CPL @1116 (50.0%) on 06-sep-2018 [ "arg1 helps to lower arg2" ] using (foods, level)
cornerstone (monument)CPL @1115 (50.0%) on 27-aug-2018 [ "arg1 Carbohydrates are arg2" ] using (foods, cornerstone)
blood_sugar (musicalbum)
gi (musicalbum)CPL @1104 (50.0%) on 18-mar-2018 [ "arg1 to eat to lower arg2" ] using (foods, gi)
decay (musicartist)CPL @1113 (50.0%) on 03-aug-2018 [ "arg1 cause dental arg2" ] using (foods, decay)
cornerstone (musicsong)CPL @1115 (50.0%) on 27-aug-2018 [ "arg1 Carbohydrates are arg2" ] using (foods, cornerstone)
level (nerve)CPL @1116 (50.0%) on 06-sep-2018 [ "arg1 helps to lower arg2" ] using (foods, level)
levels (nondiseasecondition)
hypertension (nut)CPL @1098 (75.0%) on 21-jan-2018 [ "arg1 proven to lower arg2" "arg1 sildenafil in pulmonary arg2" ] using (foods, hypertension)
rise (nut)CPL @1109 (50.0%) on 12-jun-2018 [ "arg1 causing high arg2" ] using (foods, rise)
triglycerides (nut)
bp_america CPL @1095 (75.0%) on 17-jan-2018 [ "arg1 may help lower arg2" "arg1 can lower high arg2" ] using (foods, bp)
rise (physicalcharacteristic)CPL @1109 (50.0%) on 12-jun-2018 [ "arg1 causing high arg2" ] using (foods, rise)
weight CPL @1105 (50.0%) on 25-mar-2018 [ "arg1 that help lower arg2" ] using (foods, weight)
bad_ldl_cholesterol CPL @1104 (50.0%) on 18-mar-2018 [ "arg1 proven to lower arg2" ] using (foods, bad_ldl_cholesterol)
blood_pressure_type CPL @1096 (87.5%) on 18-jan-2018 [ "arg1 cause high arg2" "arg1 lower high arg2" "arg1 that fight high arg2" ] using (foods, blood_pressure_type)
cholesterol (physiologicalcondition)
rise (planet)CPL @1109 (50.0%) on 12-jun-2018 [ "arg1 causing high arg2" ] using (foods, rise)
cholesterol_level CPL @1104 (75.0%) on 18-mar-2018 [ "arg1 to reduce high arg2" "arg1 that lower your arg2" ] using (foods, cholesterol_level)
potassium_product CPL @1116 (50.0%) on 06-sep-2018 [ "arg1 cause high arg2" ] using (foods, potassium_product)
potassium_software CPL @1104 (75.0%) on 18-mar-2018 [ "arg1 cause high arg2" "arg1 to avoid with high arg2" ] using (foods, potassium_software)
sodium_content CPL @1109 (50.0%) on 12-jun-2018 [ "arg1 to avoid with high arg2" ] using (foods, sodium_content)
chances (profession)CPL @1109 (50.0%) on 12-jun-2018 [ "arg1 can help lower your arg2" ] using (foods, chances)
level (profession)CPL @1116 (50.0%) on 06-sep-2018 [ "arg1 helps to lower arg2" ] using (foods, level)
levels (programminglanguage)
cholesterol (protein)
ldl
ldl_cholesterol (protein)CPL @1095 (87.5%) on 17-jan-2018 [ "arg1 has been found to lower arg2" "arg1 is effective in lowering arg2" "arg1 can help lower your arg2" ] using (foods, ldl_cholesterol)
level (protein)CPL @1116 (50.0%) on 06-sep-2018 [ "arg1 helps to lower arg2" ] using (foods, level)
blood_pressure_recipes (recipe)CPL @1100 (50.0%) on 31-jan-2018 [ "arg1 cause high arg2" ] using (foods, blood_pressure_recipes)
cholesterol_study (researchproject)CPL @1100 (50.0%) on 31-jan-2018 [ "arg1 cause high arg2" ] using (foods, cholesterol_study)
level (room)CPL @1116 (50.0%) on 06-sep-2018 [ "arg1 helps to lower arg2" ] using (foods, level)
levels (room)
cornerstone (skiarea)CPL @1115 (50.0%) on 27-aug-2018 [ "arg1 Carbohydrates are arg2" ] using (foods, cornerstone)
blood_pressure_software (software)CPL @1104 (75.0%) on 18-mar-2018 [ "arg1 cause high arg2" "arg1 to decrease high arg2" ] using (foods, blood_pressure_software)
gi (stateorprovince)CPL @1104 (50.0%) on 18-mar-2018 [ "arg1 to eat to lower arg2" ] using (foods, gi)
chances (televisionshow)CPL @1109 (50.0%) on 12-jun-2018 [ "arg1 can help lower your arg2" ] using (foods, chances)
gi (terroristorganization)CPL @1104 (50.0%) on 18-mar-2018 [ "arg1 to eat to lower arg2" ] using (foods, gi)
blood_pressure_software (tool)CPL @1104 (75.0%) on 18-mar-2018 [ "arg1 cause high arg2" "arg1 to decrease high arg2" ] using (foods, blood_pressure_software)
blood_sugar_software CPL @1114 (50.0%) on 18-aug-2018 [ "arg1 eaten to reduce arg2" ] using (foods, blood_sugar_software)
level (tool)CPL @1116 (50.0%) on 06-sep-2018 [ "arg1 helps to lower arg2" ] using (foods, level)
levels (tool)
rise (transportation)CPL @1109 (50.0%) on 12-jun-2018 [ "arg1 causing high arg2" ] using (foods, rise)
cornerstone (university)CPL @1115 (50.0%) on 27-aug-2018 [ "arg1 Carbohydrates are arg2" ] using (foods, cornerstone)
triglycerides (vein)
uric_acid (vein)CPL @1104 (50.0%) on 18-mar-2018 [ "arg1 causing high arg2" ] using (foods, uric_acid)
blood_pressure_medications (videogame)CPL @1108 (50.0%) on 07-jun-2018 [ "arg1 cause high arg2" ] using (foods, blood_pressure_medications)
calories
catalysts (videogame)CPL @1104 (75.0%) on 18-mar-2018 [ "arg2 to release energy from arg1" "arg2 in breaking down complex arg1" ] using (foods, catalysts)
simple_sugars (videogame)
triglycerides (videogame)
gi (visualizableattribute)CPL @1104 (50.0%) on 18-mar-2018 [ "arg1 to eat to lower arg2" ] using (foods, gi)
level (weapon)CPL @1116 (50.0%) on 06-sep-2018 [ "arg1 helps to lower arg2" ] using (foods, level)
plaque (weapon)CPL @1109 (50.0%) on 12-jun-2018 [ "arg1 are less likely to accumulate arg2" ] using (foods, plaque)
level (weatherphenomenon)CPL @1116 (50.0%) on 06-sep-2018 [ "arg1 helps to lower arg2" ] using (foods, level)
trans (writer)
fooddecreasestheriskofdisease cardiovascular_disease (academicfield)CPL @1095 (96.9%) on 17-jan-2018 [ "arg1 lower the risk of arg2" "arg1 can lower the risk of arg2" "arg1 decreases the risk of arg2" "arg1 appears to be protective against arg2" "arg1 that reduce your risk of arg2" ] using (foods, cardiovascular_disease)
development (academicfield)CPL @1105 (50.0%) on 25-mar-2018 [ "arg1 to eat to prevent arg2" ] using (foods, development)
diseases (academicfield)CPL @1094 (99.2%) on 01-jan-2018 [ "arg1 which fight arg2" "arg1 can lower the risk of arg2" "arg1 that help the body fight arg2" "arg1 decreases the risk of arg2" "arg1 protect against arg2" "arg1 help prevent arg2" "arg1 to eat to prevent arg2" ] using (foods, diseases)
development (agent)CPL @1105 (50.0%) on 25-mar-2018 [ "arg1 to eat to prevent arg2" ] using (foods, development)
acne (agriculturalproduct)CPL @1108 (75.0%) on 07-jun-2018 [ "arg1 help prevent arg2" "arg1 help to fight arg2" ] using (foods, acne)
viruses (architect)CPL @1105 (50.0%) on 25-mar-2018 [ "arg1 that can help fight arg2" ] using (foods, viruses)
artery_disease (artery)CPL @1105 (50.0%) on 25-mar-2018 [ "arg1 increase the risk of coronary arg2" ] using (foods, artery_disease)
development (artery)CPL @1105 (50.0%) on 25-mar-2018 [ "arg1 to eat to prevent arg2" ] using (foods, development)
food_poisoning (bacteria)CPL @1109 (50.0%) on 12-jun-2018 [ "arg1 help prevent arg2" ] using (foods, food_poisoning)
hepatitis_c (bacteria)CPL @1108 (50.0%) on 07-jun-2018 [ "arg1 known to protect against arg2" ] using (foods, hepatitis_c)
signs (bacteria)CPL @1109 (50.0%) on 12-jun-2018 [ "arg1 help prevent arg2" ] using (foods, signs)
three (bathroomitem)CPL @1114 (50.0%) on 18-aug-2018 [ "arg1 that help protect against arg2" ] using (foods, three)
strength (bedroomitem)CPL @1105 (50.0%) on 25-mar-2018 [ "arg1 boost immune system arg2" ] using (foods, strength)
development (boardgame)CPL @1105 (50.0%) on 25-mar-2018 [ "arg1 to eat to prevent arg2" ] using (foods, development)
heart (bodypart)CPL @1104 (75.0%) on 18-mar-2018 [ "arg1 help prevent arg2" "arg1 to lower risks of arg2" ] using (foods, heart)
development (building)CPL @1105 (50.0%) on 25-mar-2018 [ "arg1 to eat to prevent arg2" ] using (foods, development)
contamination (buildingfeature)CPL @1115 (50.0%) on 27-aug-2018 [ "arg1 pose a higher risk of arg2" ] using (foods, contamination)
signs (buildingmaterial)CPL @1109 (50.0%) on 12-jun-2018 [ "arg1 help prevent arg2" ] using (foods, signs)
heart (candy)CPL @1104 (75.0%) on 18-mar-2018 [ "arg1 help prevent arg2" "arg1 to lower risks of arg2" ] using (foods, heart)
three (cardgame)CPL @1114 (50.0%) on 18-aug-2018 [ "arg1 that help protect against arg2" ] using (foods, three)
cardiovascular_disease (celltype)CPL @1095 (96.9%) on 17-jan-2018 [ "arg1 lower the risk of arg2" "arg1 can lower the risk of arg2" "arg1 decreases the risk of arg2" "arg1 appears to be protective against arg2" "arg1 that reduce your risk of arg2" ] using (foods, cardiovascular_disease)
development (celltype)CPL @1105 (50.0%) on 25-mar-2018 [ "arg1 to eat to prevent arg2" ] using (foods, development)
diseases (celltype)CPL @1094 (99.2%) on 01-jan-2018 [ "arg1 which fight arg2" "arg1 can lower the risk of arg2" "arg1 that help the body fight arg2" "arg1 decreases the risk of arg2" "arg1 protect against arg2" "arg1 help prevent arg2" "arg1 to eat to prevent arg2" ] using (foods, diseases)
formation (celltype)CPL @1104 (75.0%) on 18-mar-2018 [ "arg1 are believed to promote arg2" "arg1 help prevent arg2" ] using (foods, formation)
viruses (celltype)CPL @1105 (50.0%) on 25-mar-2018 [ "arg1 that can help fight arg2" ] using (foods, viruses)
contamination (charactertrait)CPL @1115 (50.0%) on 27-aug-2018 [ "arg1 pose a higher risk of arg2" ] using (foods, contamination)
development (charactertrait)CPL @1105 (50.0%) on 25-mar-2018 [ "arg1 to eat to prevent arg2" ] using (foods, development)
strength (charactertrait)CPL @1105 (50.0%) on 25-mar-2018 [ "arg1 boost immune system arg2" ] using (foods, strength)
contamination (convention)CPL @1115 (50.0%) on 27-aug-2018 [ "arg1 pose a higher risk of arg2" ] using (foods, contamination)
blemishes CPL @1113 (50.0%) on 03-aug-2018 [ "arg1 prevent skin arg2" ] using (foods, blemishes)
cancer_name CPL @1108 (75.0%) on 07-jun-2018 [ "arg1 to eat for skin arg2" "arg1 that fight lung arg2" ] using (foods, cancer_name)
cleansing CPL @1112 (50.0%) on 20-jul-2018 [ "arg1 or colon arg2" ] using (foods, cleansing)
depression (emotion)CPL @1104 (98.4%) on 18-mar-2018 [ "arg1 that are known to fight arg2" "arg1 help to fight arg2" "arg1 may help ward off arg2" "arg1 diet protects against arg2" "arg1 that may help protect against arg2" "arg1 scarce during the great arg2" ] using (foods, depression)
development (emotion)CPL @1105 (50.0%) on 25-mar-2018 [ "arg1 to eat to prevent arg2" ] using (foods, development)
strength (emotion)CPL @1105 (50.0%) on 25-mar-2018 [ "arg1 boost immune system arg2" ] using (foods, strength)
development (eventoutcome)CPL @1105 (50.0%) on 25-mar-2018 [ "arg1 to eat to prevent arg2" ] using (foods, development)
variety (food)CPL @1104 (75.0%) on 18-mar-2018 [ "arg1 help prevent arg2" "arg1 may be protective against arg2" ] using (foods, variety)
viruses (food)CPL @1105 (50.0%) on 25-mar-2018 [ "arg1 that can help fight arg2" ] using (foods, viruses)
formation (geometricshape)CPL @1104 (75.0%) on 18-mar-2018 [ "arg1 are believed to promote arg2" "arg1 help prevent arg2" ] using (foods, formation)
strength (geometricshape)CPL @1105 (50.0%) on 25-mar-2018 [ "arg1 boost immune system arg2" ] using (foods, strength)
stroke (hobby)CPL @1104 (75.0%) on 18-mar-2018 [ "arg1 may reduce your risk of arg2" "arg1 can lower the risk of arg2" ] using (foods, stroke)
cancer_team (hospital)CPL @1104 (75.0%) on 18-mar-2018 [ "arg1 that prevent mouth arg2" "arg1 helpful in preventing arg2" ] using (foods, cancer_team)
signs (householditem)CPL @1109 (50.0%) on 12-jun-2018 [ "arg1 help prevent arg2" ] using (foods, signs)
heart (landscapefeatures)CPL @1104 (75.0%) on 18-mar-2018 [ "arg1 help prevent arg2" "arg1 to lower risks of arg2" ] using (foods, heart)
variety (landscapefeatures)CPL @1104 (75.0%) on 18-mar-2018 [ "arg1 help prevent arg2" "arg1 may be protective against arg2" ] using (foods, variety)
heart (lymphnode)CPL @1104 (75.0%) on 18-mar-2018 [ "arg1 help prevent arg2" "arg1 to lower risks of arg2" ] using (foods, heart)
variety (magazine)CPL @1104 (75.0%) on 18-mar-2018 [ "arg1 help prevent arg2" "arg1 may be protective against arg2" ] using (foods, variety)
development (male)CPL @1105 (50.0%) on 25-mar-2018 [ "arg1 to eat to prevent arg2" ] using (foods, development)
cancer_books CPL @1115 (50.0%) on 27-aug-2018 [ "arg1 and herbs that stop arg2" ] using (foods, cancer_books)
artery_disease (medicalprocedure)CPL @1105 (50.0%) on 25-mar-2018 [ "arg1 increase the risk of coronary arg2" ] using (foods, artery_disease)
cancer (medicalprocedure)OE @809 (99.6%) on 01-feb-2014 [ ] using (foods, cancer)
colorectal_cancer (medicalprocedure)CPL @1113 (50.0%) on 03-aug-2018 [ "arg1 may lower your risk of arg2" ] using (foods, colorectal_cancer)
food_poisoning (medicalprocedure)CPL @1109 (50.0%) on 12-jun-2018 [ "arg1 help prevent arg2" ] using (foods, food_poisoning)
heart_disease (medicalprocedure)
stroke (medicalprocedure)CPL @1104 (75.0%) on 18-mar-2018 [ "arg1 may reduce your risk of arg2" "arg1 can lower the risk of arg2" ] using (foods, stroke)
attacks CPL @1108 (50.0%) on 07-jun-2018 [ "arg1 decreases the risk of arg2" ] using (foods, attacks)
development (mlarea)CPL @1105 (50.0%) on 25-mar-2018 [ "arg1 to eat to prevent arg2" ] using (foods, development)
formation (mountainrange)CPL @1104 (75.0%) on 18-mar-2018 [ "arg1 are believed to promote arg2" "arg1 help prevent arg2" ] using (foods, formation)
stroke (mountainrange)CPL @1104 (75.0%) on 18-mar-2018 [ "arg1 may reduce your risk of arg2" "arg1 can lower the risk of arg2" ] using (foods, stroke)
signs (movie)CPL @1109 (50.0%) on 12-jun-2018 [ "arg1 help prevent arg2" ] using (foods, signs)
heart (muscle)CPL @1104 (75.0%) on 18-mar-2018 [ "arg1 help prevent arg2" "arg1 to lower risks of arg2" ] using (foods, heart)
contamination (musicalbum)CPL @1115 (50.0%) on 27-aug-2018 [ "arg1 pose a higher risk of arg2" ] using (foods, contamination)
three (musicalbum)CPL @1114 (50.0%) on 18-aug-2018 [ "arg1 that help protect against arg2" ] using (foods, three)
formation (nerve)CPL @1104 (75.0%) on 18-mar-2018 [ "arg1 are believed to promote arg2" "arg1 help prevent arg2" ] using (foods, formation)
morning_sickness (nondiseasecondition)CPL @1099 (50.0%) on 23-jan-2018 [ "arg1 might help prevent arg2" ] using (foods, morning_sickness)
signs (nondiseasecondition)CPL @1109 (50.0%) on 12-jun-2018 [ "arg1 help prevent arg2" ] using (foods, signs)
stretch_marks (nondiseasecondition)CPL @1104 (75.0%) on 18-mar-2018 [ "arg1 help prevent arg2" "arg1 are proven to cause arg2" ] using (foods, stretch_marks)
three (nonneginteger)CPL @1114 (50.0%) on 18-aug-2018 [ "arg1 that help protect against arg2" ] using (foods, three)
three (parlourgame)CPL @1114 (50.0%) on 18-aug-2018 [ "arg1 that help protect against arg2" ] using (foods, three)
development (perceptionaction)CPL @1105 (50.0%) on 25-mar-2018 [ "arg1 to eat to prevent arg2" ] using (foods, development)
stroke (perceptionaction)CPL @1104 (75.0%) on 18-mar-2018 [ "arg1 may reduce your risk of arg2" "arg1 can lower the risk of arg2" ] using (foods, stroke)
strength (person)CPL @1105 (50.0%) on 25-mar-2018 [ "arg1 boost immune system arg2" ] using (foods, strength)
variety (person)CPL @1104 (75.0%) on 18-mar-2018 [ "arg1 help prevent arg2" "arg1 may be protective against arg2" ] using (foods, variety)
development (personalcareitem)CPL @1105 (50.0%) on 25-mar-2018 [ "arg1 to eat to prevent arg2" ] using (foods, development)
stretch_marks (personalcareitem)CPL @1104 (75.0%) on 18-mar-2018 [ "arg1 help prevent arg2" "arg1 are proven to cause arg2" ] using (foods, stretch_marks)
development (physicalaction)CPL @1105 (50.0%) on 25-mar-2018 [ "arg1 to eat to prevent arg2" ] using (foods, development)
formation (physicalaction)CPL @1104 (75.0%) on 18-mar-2018 [ "arg1 are believed to promote arg2" "arg1 help prevent arg2" ] using (foods, formation)
heart_disease (physicalaction)
cancer_right CPL @1104 (75.0%) on 18-mar-2018 [ "arg1 to eat to prevent arg2" "arg1 and herbs that stop arg2" ] using (foods, cancer_right)
cancer_team (physiologicalcondition)CPL @1104 (75.0%) on 18-mar-2018 [ "arg1 that prevent mouth arg2" "arg1 helpful in preventing arg2" ] using (foods, cancer_team)
chd_ CPL @1103 (50.0%) on 06-mar-2018 [ "arg1 may lower the risk of arg2" ] using (foods, chd_)
development (physiologicalcondition)CPL @1105 (50.0%) on 25-mar-2018 [ "arg1 to eat to prevent arg2" ] using (foods, development)
formation (physiologicalcondition)CPL @1104 (75.0%) on 18-mar-2018 [ "arg1 are believed to promote arg2" "arg1 help prevent arg2" ] using (foods, formation)
hormone_related_cancers CPL @1108 (50.0%) on 07-jun-2018 [ "arg1 to reduced risk of arg2" ] using (foods, hormone_related_cancers)
stroke (physiologicalcondition)CPL @1104 (75.0%) on 18-mar-2018 [ "arg1 may reduce your risk of arg2" "arg1 can lower the risk of arg2" ] using (foods, stroke)
vision_loss CPL @1115 (50.0%) on 27-aug-2018 [ "arg1 help prevent arg2" ] using (foods, vision_loss)
signs (planet)CPL @1109 (50.0%) on 12-jun-2018 [ "arg1 help prevent arg2" ] using (foods, signs)
variety (politicsblog)CPL @1104 (75.0%) on 18-mar-2018 [ "arg1 help prevent arg2" "arg1 may be protective against arg2" ] using (foods, variety)
cancer_service CPL @1105 (75.0%) on 25-mar-2018 [ "arg1 that prevent mouth arg2" "arg1 and colon arg2" ] using (foods, cancer_service)
cancer_software (product)CPL @1104 (96.9%) on 18-mar-2018 [ "arg1 to eat for skin arg2" "arg1 prevent cervical arg2" "arg1 that cause colon arg2" "arg1 that prevent mouth arg2" "arg1 that prevent skin arg2" ] using (foods, cancer_software)
development (profession)CPL @1105 (50.0%) on 25-mar-2018 [ "arg1 to eat to prevent arg2" ] using (foods, development)
signs (professionalorganization)CPL @1109 (50.0%) on 12-jun-2018 [ "arg1 help prevent arg2" ] using (foods, signs)
development (programminglanguage)CPL @1105 (50.0%) on 25-mar-2018 [ "arg1 to eat to prevent arg2" ] using (foods, development)
stroke (programminglanguage)CPL @1104 (75.0%) on 18-mar-2018 [ "arg1 may reduce your risk of arg2" "arg1 can lower the risk of arg2" ] using (foods, stroke)
gout (protein)CPL @1107 (50.0%) on 24-may-2018 [ "arg1 help prevent arg2" ] using (foods, gout)
development (sociopolitical)CPL @1105 (50.0%) on 25-mar-2018 [ "arg1 to eat to prevent arg2" ] using (foods, development)
three (televisionshow)CPL @1114 (50.0%) on 18-aug-2018 [ "arg1 that help protect against arg2" ] using (foods, three)
variety (televisionshow)CPL @1104 (75.0%) on 18-mar-2018 [ "arg1 help prevent arg2" "arg1 may be protective against arg2" ] using (foods, variety)
cancer_software (tool)CPL @1104 (96.9%) on 18-mar-2018 [ "arg1 to eat for skin arg2" "arg1 prevent cervical arg2" "arg1 that cause colon arg2" "arg1 that prevent mouth arg2" "arg1 that prevent skin arg2" ] using (foods, cancer_software)
stretch_marks (vehicle)CPL @1104 (75.0%) on 18-mar-2018 [ "arg1 help prevent arg2" "arg1 are proven to cause arg2" ] using (foods, stretch_marks)
three (vehicle)CPL @1114 (50.0%) on 18-aug-2018 [ "arg1 that help protect against arg2" ] using (foods, three)
formation (vein)CPL @1104 (75.0%) on 18-mar-2018 [ "arg1 are believed to promote arg2" "arg1 help prevent arg2" ] using (foods, formation)
strength (visualizablething)CPL @1105 (50.0%) on 25-mar-2018 [ "arg1 boost immune system arg2" ] using (foods, strength)
contamination (weatherphenomenon)CPL @1115 (50.0%) on 27-aug-2018 [ "arg1 pose a higher risk of arg2" ] using (foods, contamination)
variety (website)CPL @1104 (75.0%) on 18-mar-2018 [ "arg1 help prevent arg2" "arg1 may be protective against arg2" ] using (foods, variety)
geopoliticallocationcontainsstate states CPL @1095 (93.8%) on 17-jan-2018 [ "arg2 and the United arg1" "arg2 than in the United arg1" "arg2 but in the United arg1" "arg2 of Mexico in the United arg1" ] using (states, foods)
inverseofagriculturalproductcontainchemical green_vegetables CPL @1105 (93.8%) on 25-mar-2018 [ "arg2 are dark leafy arg1" "arg2 include dark leafy arg1" "arg2 include leafy arg1" "arg2 are leafy arg1" ] using (green_vegetables, foods)
studies CPL @1096 (50.0%) on 18-jan-2018 [ "arg1 have shown that ingesting arg2" ] using (studies, foods)
inverseofagriculturalproductcookedwithagricultureproduct oil CPL @1100 (75.0%) on 31-jan-2018 [ "arg2 cooked in olive arg1" "arg2 fried in olive arg1" ] using (oil, foods)
pepper CPL @1103 (96.9%) on 06-mar-2018 [ "arg2 such as cayenne arg1" "arg2 like cayenne arg1" "arg2 with salt and arg1" "arg2 and cayenne arg1" "arg2 and Cayenne arg1" ] using (pepper, foods)
inverseofagriculturalproductincludingagriculturalproduct consumption CPL @1105 (75.0%) on 25-mar-2018 [ "arg2 grown for animal arg1" "arg2 and high fat dairy arg1" ] using (consumption, foods)
dairy_products CPL @1107 (75.0%) on 24-may-2018 [ "arg2 or whole milk arg1" "arg2 and whole milk arg1" ] using (dairy_products, foods)
powder CPL @1104 (75.0%) on 18-mar-2018 [ "arg2 and milk arg1" "arg2 and skimmed milk arg1" ] using (powder, foods)
fats CPL @1104 (87.5%) on 18-mar-2018 [ "arg2 that are rich in monounsaturated arg1" "arg2 that are high in unsaturated arg1" "arg2 that are high in monounsaturated arg1" ] using (fats, foods)
products CPL @1103 (100.0%) on 06-mar-2018 [ "arg2 and full fat dairy arg1" "arg2 or white flour arg1" "arg2 and certain meat arg1" "arg2 and other meat arg1" "arg2 and white flour arg1" "arg2 and whole milk dairy arg1" "arg2 and nonfat dairy arg1" "arg2 or tobacco arg1" "arg2 and eat dairy arg1" "arg2 and Dairy arg1" "arg2 Milk and milk arg1" "arg2 as well as dairy arg1" "arg2 or other dairy arg1" "arg2 cheese and other dairy arg1" "arg2 and refined sugar arg1" "arg2 and low fat dairy arg1" "arg2 and many other food arg1" "arg2 and milk and milk arg1" "arg2 and no dairy arg1" "arg2 and other poultry arg1" "arg2 and refined flour arg1" "arg2 and white sugar arg1" "arg2 are milk and dairy arg1" "arg2 and refined grain arg1" "arg2 include milk and milk arg1" "arg2 are milk and milk arg1" "arg2 and most milk arg1" "arg2 and related allied arg1" "arg2 and milk or milk arg1" "arg2 or dairy arg1" "arg2 Milk and dairy arg1" "arg2 and cultured dairy arg1" "arg2 and raw milk arg1" "arg2 such as white flour arg1" "arg2 and tomato based arg1" "arg2 are milk and other dairy arg1" "arg2 and whole milk arg1" "arg2 and organic dairy arg1" "arg2 and most dairy arg1" "arg2 or raw milk arg1" "arg2 and some dairy arg1" "arg2 and other cereal arg1" "arg2 but dairy arg1" "arg2 include dairy arg1" "arg2 and cultured milk arg1" "arg2 and raw dairy arg1" "arg2 and all dairy arg1" "arg2 and pasteurized dairy arg1" "arg2 and fortified grain arg1" "arg2 and dairy arg1" "arg2 and milk arg1" ] using (products, foods)
inverseofanimalfeedoninsect inverseofanimalsuchasinsect crustaceans
worms CPL @1103 (75.0%) on 06-mar-2018 [ "arg2 are slugs and arg1" "arg2 are insects and arg1" ] using (worms, foods)
inverseofanimalsuchasinvertebrate spiders CPL @1116 (50.0%) on 06-sep-2018 [ "arg2 are insects and arg1" ] using (spiders, foods)
snails
crustaceans
worms CPL @1103 (93.8%) on 06-mar-2018 [ "arg2 such as crickets and arg1" "arg2 and Tubifex arg1" "arg2 are slugs and arg1" "arg2 are insects and arg1" ] using (worms, foods)
inverseofarthropodandotherarthropod larvae CPL @1103 (75.0%) on 06-mar-2018 [ "arg2 like worms and arg1" "arg2 include insects and arg1" ] using (larvae, foods)
inverseofarthropodcalledarthropod mussels OE @901 (100.0%) on 13-feb-2015 [ http://www.moosabecmussels.com/ ] using (mussels, foods) CPL @1094 (99.2%) on 01-jan-2018 [ "arg2 such as snails or arg1" "arg2 like oysters and arg1" "arg2 like prawns and arg1" "arg2 such as shrimps and arg1" "arg2 such as shrimp or arg1" "arg2 such as prawns and arg1" "arg2 like octopus and arg1" ] using (mussels, foods)
prawns CPL @1103 (93.8%) on 06-mar-2018 [ "arg2 like crabs and arg1" "arg2 such as worms and arg1" "arg2 like clams and arg1" "arg2 such as oysters and arg1" ] using (prawns, foods)
seafood CPL @1108 (87.5%) on 07-jun-2018 [ "arg2 including steamed arg1" "arg2 such as fish and arg1" "arg2 such as lobster or arg1" ] using (seafood, foods)
crab CPL @1103 (87.5%) on 06-mar-2018 [ "arg2 such as worms and arg1" "arg2 such as shrimp or arg1" "arg2 such as oysters and arg1" ] using (crab, foods)
daphnia CPL @1104 (75.0%) on 18-mar-2018 [ "arg2 such as worms and arg1" "arg2 such as shrimp or arg1" ] using (daphnia, foods)
krill CPL @1094 (93.8%) on 01-jan-2018 [ "arg2 such as shrimp or arg1" "arg2 such as mussels and arg1" "arg2 like shrimp or arg1" "arg2 such as shrimp and arg1" ] using (krill, foods)
lobster CPL @1108 (75.0%) on 07-jun-2018 [ "arg2 including Maine arg1" "arg2 such as shrimp and arg1" ] using (lobster, foods)
lobsters CPL @1108 (75.0%) on 07-jun-2018 [ "arg2 including steamed arg1" "arg2 such as oysters and arg1" ] using (lobsters, foods)
shrimp
snails
inverseofbacteriaisthecausativeagentofphysiologicalcondition candida CPL @1105 (75.0%) on 25-mar-2018 [ "arg1 yeast arg2" "arg1 overgrowth arg2" ] using (candida, foods)
clostridium CPL @1116 (50.0%) on 06-sep-2018 [ "arg1 difficile arg2" ] using (clostridium, foods)
listeria CPL @1098 (50.0%) on 21-jan-2018 [ "arg1 monocytogenes arg2" ] using (listeria, foods)
staphylococcus
inverseofbakedgoodservedwithbeverage breads CPL @1097 (87.5%) on 19-jan-2018 [ "arg2 and freshly baked arg1" "arg2 and home baked arg1" "arg2 and home made arg1" ] using (breads, foods)
inverseofbeveragemadefrombeverage orange CPL @1108 (50.0%) on 07-jun-2018 [ "arg1 or grapefruit arg2" ] using (orange, foods)
inverseofdiseasemaybecausedbydrug cancer (disease)CPL @1104 (87.5%) on 18-mar-2018 [ "arg2 can prevent breast arg1" "arg2 to fight prostate arg1" "arg2 prevent breast arg1" ] using (cancer, foods)
inverseofemotionassocietedwithdisease anxiety CPL @1099 (50.0%) on 23-jan-2018 [ "arg1 and panic arg2" ] using (anxiety, foods)
inverseoffoodcancausedisease glucose CPL @1095 (87.5%) on 17-jan-2018 [ "arg2 on your blood arg1" "arg2 on my blood arg1" "arg2 on blood arg1" ] using (glucose, foods)
sugars CPL @1096 (87.5%) on 18-jan-2018 [ "arg2 and control your blood arg1" "arg2 on your blood arg1" "arg2 on blood arg1" ] using (sugars, foods)
sugar
organizationhasagent john_mackey CPL @1099 (87.5%) on 23-jan-2018 [ "arg2 founder and CEO arg1" "arg2 and its CEO arg1" "arg2 founder and chief executive arg1" ] using (john_mackey, foods)
organizationhasperson john_mackey CPL @1103 (87.5%) on 06-mar-2018 [ "arg2 founder and CEO arg1" "arg2 and its CEO arg1" "arg2 founder and chief executive arg1" ] using (john_mackey, foods)
organizationhastopmember john_mackey CPL @1095 (87.5%) on 17-jan-2018 [ "arg2 founder and CEO arg1" "arg2 and its CEO arg1" "arg2 founder and chief executive arg1" ] using (john_mackey, foods)
organizationleadbyperson john_mackey CPL @1098 (87.5%) on 21-jan-2018 [ "arg2 founder and CEO arg1" "arg2 and its CEO arg1" "arg2 founder and chief executive arg1" ] using (john_mackey, foods)
worker john_mackey CPL @1104 (87.5%) on 18-mar-2018 [ "arg2 founder and CEO arg1" "arg2 and its CEO arg1" "arg2 founder and chief executive arg1" ] using (john_mackey, foods)
generalizationof videos CPL @1112 (50.0%) on 20-jul-2018 [ "arg1 can pet arg2" ] using (videos, foods)
inverseofanimaleatfood birds (mammal)CPL @1095 (96.9%) on 17-jan-2018 [ "arg2 can be fed to your arg1" "arg2 for conure arg1" "arg2 that draw cardinal arg1" "arg2 for budgie arg1" "arg2 are relished by arg1" ] using (birds, foods) Human feedback from estevam @465 on 08-dec-2011 [ "birds animaleatfood foods", Action=(+animaleatfood) (from NELL.08m.465.SSFeedback.csv) ] using (birds, foods)
academicfieldusedinjobposition health_care_provider CPL @1115 (50.0%) on 27-aug-2018 [ "arg1 if you are allergic to arg2" ] using (health_care_provider, foods)
bodypartwithinbodypart system CPL @1094 (99.6%) on 01-jan-2018 [ "arg2 and the digestive arg1" "arg2 and the cardiovascular arg1" "arg2 The immune arg1" "arg2 can affect the immune arg1" "arg2 and your immune arg1" "arg2 weakens our immune arg1" "arg2 Your immune arg1" "arg2 weakens your immune arg1" ] using (system, foods)
system001 CPL @1094 (99.6%) on 01-jan-2018 [ "arg2 and the digestive arg1" "arg2 and the cardiovascular arg1" "arg2 The immune arg1" "arg2 can affect the immune arg1" "arg2 and your immune arg1" "arg2 weakens our immune arg1" "arg2 Your immune arg1" "arg2 weakens your immune arg1" ] using (system, foods)
inverseofarthropodcalledarthropod bloodworms CPL @1103 (75.0%) on 06-mar-2018 [ "arg2 such as shrimps and arg1" "arg2 like shrimps and arg1" ] using (bloodworms, foods)
shellfish
inverseoffooddecreasestheriskofdisease cause CPL @1112 (50.0%) on 20-jul-2018 [ "arg1 disease and arg2" ] using (cause, foods)
locationcontainslocation new CPL @1107 (93.8%) on 24-may-2018 [ "arg1 Zealand dairy arg2" "arg1 England style arg2" "arg1 England farm arg2" "arg1 Zealand and arg2" ] using (new, foods)