MBL @1103 (100.0%) on 18-mar-2018 [ Promotion of agriculturalproduct:black_tea agriculturalproductcontainchemical chemical:antioxidants ]
CPL @1100 (70.3%) on 30-jan-2018 [ "_ extract increases" "_ is the national beverage" "blend of certified organic _" "_ is a popular beverage" "_ has some caffeine" "_ also has antioxidants" "_ contains tannic acid" "_ does contain caffeine" "_ is traditionally grown in" "_ contains polyphenols" "_ has more caffeine" "_ is the dried" "_ 's antioxidants" "tea , decaffeinated _" "_ contains antioxidants" "_ is the staple drink" "_ contains tannin" ] using black_tea
CMC @554 (100.0%) on 21-apr-2012 [ LAST_WORD=tea 14.54254 SUFFIX=ea 10.24043 LASTSUFFIX=ea 9.82233 PREFIX=te 7.07540 LASTPREFIX=te 6.80653 POS=JJ 1.91962 SHORT_WORDSHAPE=a 1.43010 FULL_POS=JJ_NN -0.59895 CHARS -11.16953 WORDS -11.80679 ] using black_tea
SEAL @688 (54.1%) on 22-jan-2013 [ 1 ] using black_tea
CPL @1103 (78.5%) on 08-mar-2018 [ "_ extract increases" "_ is the national beverage" "_ contains an abundant source" "_ is a popular beverage" "_ is steamed" "_ requires boiling water" "_ has some caffeine" "gallon of _" "_ does contain caffeine" "_ contains catechin" "_ is a healthy drink" "_ also contains tannins" "_ extract Green tea" "_ undergoes fermentation" "_ has anti-oxidants" "_ has a dark amber color" "_ still has caffeine" "_ is commonly drunk" "_ is a fermented tea" "_ is fermented before" "_ contains no calories" "_ contains polyphenols" "_ has more caffeine" "_ is a delicious beverage" "_ is brewed at" "_ is the only tea" "_ brewed with" "_ is a great thirst quencher" "_ is wilted" "_ is mostly drunk" "_ 's antioxidants" "_ contains catechins" "tea , decaffeinated _" "_ is fermented after" "cup of _" "_ sweetened with" "_ contains tannins" "_ also contains fluoride" "_ is the national drink" "_ is purported" "_ is grown" "_ has tannin" "_ is brewed with" "_ is a varietal" "_ is the staple drink" "_ is fermented" ] using black_tea
Seed
MBL @1103 (100.0%) on 18-mar-2018 [ Promotion of agriculturalproduct:black_tea beveragecansoftendisease disease:heart_disease ]
CPL @1096 (99.5%) on 18-jan-2018 [ "many cups of hot _" "men drinking _" "cup of warm _" "boil , add _" "pot of hot _" "_ garnished with" "flavor of fresh _" "_ contains antioxidants" "cup of strong _" "tea , hot _" "_ has less caffeine" "_ containing caffeine" "recipe called for _" "_ called polyphenols" "body of fresh _" "ingredients except _" "I do drink _" "tea , orange _" "glass of sweet _" "cup of hot _" "_ contains polyphenols" "I drink too much _" "_ producing nations" "_ has many health benefits" "tea , herbal _" "cup of sweet _" "cup of cold _" "_ producing countries" "_ is served at" "tea , fresh _" "tea , iced _" "benefits of organic _" ] using black_tea
CPL @1096 (99.9%) on 18-jan-2018 [ "arg1 producing regions in arg2" "arg1 producing region of arg2" "arg1 from China A arg2" "arg1 from the Fujian Province of arg2" "arg1 producing regions are arg2" "arg1 from Fujian province in arg2" "arg1 manufacturer and exporter in arg2" "arg1 from the Fujian province of arg2" "arg1 from Yunnan arg2" "arg1 producing area in arg2" ] using (black_tea, china)
OE @811 (100.0%) on 08-feb-2014 [ ] using (black_tea, antioxidants)
CPL @1095 (99.8%) on 17-jan-2018 [ "arg2 than coffee or arg1" "arg2 with less caffeine than arg1" "arg2 than green or arg1" "arg2 as half a cup of arg1" "arg2 and less caffeine than arg1" "arg2 than red wine or arg1" "arg2 per serving than arg1" "arg2 in both green and arg1" "arg2 found in red wine and arg1" ] using (black_tea, antioxidants)
SEAL @559 (50.0%) on 30-apr-2012 [ 1 ] using (black_tea, caffeine)
CPL @1104 (99.6%) on 18-mar-2018 [ "arg2 than coffee or arg1" "arg2 than green or arg1" "arg2 than a cup of arg1" "arg2 in coffee and arg1" "arg2 is in a cup of arg1" "arg2 in coffee or arg1" "arg2 as a cup of arg1" "arg2 per cup than arg1" ] using (black_tea, caffeine)
CPL @1104 (93.8%) on 18-mar-2018 [ "arg2 in both green and arg1" "arg2 found in green tea and arg1" "arg2 as a half cup of arg1" "arg2 called polyphenols found in arg1" ] using (black_tea, compounds)
CPL @1094 (99.2%) on 01-jan-2018 [ "arg1 has been shown to lower arg2" "arg1 may help lower arg2" "arg1 consumption lowered arg2" "arg1 for reducing high arg2" "arg1 per day can lower arg2" "arg1 may help lower your arg2" "arg1 can help lower arg2" ] using (black_tea, blood_pressure)
CPL @1103 (96.9%) on 06-mar-2018 [ "arg1 reduce the risk of coronary arg2" "arg1 lowered their risk of arg2" "arg1 and reduced risk of coronary arg2" "arg1 may lower the risk of arg2" "arg1 may reduce your risk of arg2" ] using (black_tea, heart_disease)
CPL @1094 (87.5%) on 01-jan-2018 [ "arg1 exports from arg2" "arg1 grown in northern arg2" "arg1 producing countries are arg2" ] using (black_tea, india)
CPL @1096 (99.9%) on 18-jan-2018 [ "arg1 producing regions in arg2" "arg1 producing region of arg2" "arg1 from China A arg2" "arg1 from the Fujian Province of arg2" "arg1 producing regions are arg2" "arg1 from Fujian province in arg2" "arg1 manufacturer and exporter in arg2" "arg1 from the Fujian province of arg2" "arg1 from Yunnan arg2" "arg1 producing area in arg2" ] using (black_tea, china)
CPL @1096 (99.9%) on 18-jan-2018 [ "arg1 producing regions in arg2" "arg1 producing region of arg2" "arg1 from China A arg2" "arg1 from the Fujian Province of arg2" "arg1 producing regions are arg2" "arg1 from Fujian province in arg2" "arg1 manufacturer and exporter in arg2" "arg1 from the Fujian province of arg2" "arg1 from Yunnan arg2" "arg1 producing area in arg2" ] using (black_tea, china)
SEAL @559 (50.0%) on 30-apr-2012 [ 1 ] using (black_tea, caffeine)
CPL @1104 (99.6%) on 18-mar-2018 [ "arg2 than coffee or arg1" "arg2 than green or arg1" "arg2 than a cup of arg1" "arg2 in coffee and arg1" "arg2 is in a cup of arg1" "arg2 in coffee or arg1" "arg2 as a cup of arg1" "arg2 per cup than arg1" ] using (black_tea, caffeine)
OE @811 (100.0%) on 08-feb-2014 [ ] using (black_tea, antioxidants)
CPL @1095 (99.8%) on 17-jan-2018 [ "arg2 than coffee or arg1" "arg2 with less caffeine than arg1" "arg2 than green or arg1" "arg2 as half a cup of arg1" "arg2 and less caffeine than arg1" "arg2 than red wine or arg1" "arg2 per serving than arg1" "arg2 in both green and arg1" "arg2 found in red wine and arg1" ] using (black_tea, antioxidants)
OE @811 (100.0%) on 08-feb-2014 [ ] using (black_tea, antioxidants)
CPL @1095 (99.8%) on 17-jan-2018 [ "arg2 than coffee or arg1" "arg2 with less caffeine than arg1" "arg2 than green or arg1" "arg2 as half a cup of arg1" "arg2 and less caffeine than arg1" "arg2 than red wine or arg1" "arg2 per serving than arg1" "arg2 in both green and arg1" "arg2 found in red wine and arg1" ] using (black_tea, antioxidants)
OE @811 (100.0%) on 08-feb-2014 [ ] using (black_tea, antioxidants)
CPL @1095 (99.8%) on 17-jan-2018 [ "arg2 than coffee or arg1" "arg2 with less caffeine than arg1" "arg2 than green or arg1" "arg2 as half a cup of arg1" "arg2 and less caffeine than arg1" "arg2 than red wine or arg1" "arg2 per serving than arg1" "arg2 in both green and arg1" "arg2 found in red wine and arg1" ] using (black_tea, antioxidants)
CPL @1095 (93.8%) on 17-jan-2018 [ "arg2 per serving than arg1" "arg2 than green or arg1" "arg2 than red wine or arg1" "arg2 than coffee or arg1" ] using (black_tea, more_antioxidants)
CPL @1094 (99.2%) on 01-jan-2018 [ "arg1 has been shown to lower arg2" "arg1 may help lower arg2" "arg1 consumption lowered arg2" "arg1 for reducing high arg2" "arg1 per day can lower arg2" "arg1 may help lower your arg2" "arg1 can help lower arg2" ] using (black_tea, blood_pressure)
CPL @1094 (99.2%) on 01-jan-2018 [ "arg1 has been shown to lower arg2" "arg1 may help lower arg2" "arg1 consumption lowered arg2" "arg1 for reducing high arg2" "arg1 per day can lower arg2" "arg1 may help lower your arg2" "arg1 can help lower arg2" ] using (black_tea, blood_pressure)
CPL @1094 (99.2%) on 01-jan-2018 [ "arg1 has been shown to lower arg2" "arg1 may help lower arg2" "arg1 consumption lowered arg2" "arg1 for reducing high arg2" "arg1 per day can lower arg2" "arg1 may help lower your arg2" "arg1 can help lower arg2" ] using (black_tea, blood_pressure)
CPL @1103 (96.9%) on 06-mar-2018 [ "arg1 reduce the risk of coronary arg2" "arg1 lowered their risk of arg2" "arg1 and reduced risk of coronary arg2" "arg1 may lower the risk of arg2" "arg1 may reduce your risk of arg2" ] using (black_tea, heart_disease)
CPL @1103 (96.9%) on 06-mar-2018 [ "arg1 reduce the risk of coronary arg2" "arg1 lowered their risk of arg2" "arg1 and reduced risk of coronary arg2" "arg1 may lower the risk of arg2" "arg1 may reduce your risk of arg2" ] using (black_tea, heart_disease)