CMC @832 (100.0%) on 17-apr-2014 [ LASTSUFFIX=ea 3.44910 SUFFIX=ea 3.30245 PREFIX=gr 2.21835 LAST_WORD=tea 2.13282 SHORT_WORDSHAPE=a 2.03809 FULL_POS=JJ_NN 1.99465 POS=NN 1.54354 WORDS -0.98421 POS=JJ -1.21259 CHARS -6.10263 ] using green_tea
CPL @1095 (99.7%) on 17-jan-2018 [ "_ called polyphenols" "_ 's antioxidants" "_ contains antioxidants" "_ tossed with" "he was drinking _" "natural resources like _" "_ has less caffeine" "_ contains polyphenols" "nice cup of _" "I started drinking _" "quick cup of _" "morning cup of _" "_ has many health benefits" "_ was served at" ] using green_tea
CPL @1097 (100.0%) on 19-jan-2018 [ "arg1 leaves harvested in arg2" "arg1 is actually grown in arg2" "arg1 plant came from arg2" "arg1 EVERYTHING in arg2" "arg1 is from Eastern arg2" "arg1 has become the pride of arg2" "arg1 slush at arg2" "arg1 growing region of arg2" "arg1 has been consumed in arg2" "arg1 has been drunk in arg2" "arg1 producing countries are arg2" "arg1 throughout the world include arg2" "arg1 that is considered one of arg2" "arg1 was introduced to Japan from arg2" "arg1 drinkers in arg2" "arg1 mainly originates from arg2" "arg1 producing provinces of arg2" "arg1 was first cultivated in arg2" "arg1 has been known in arg2" "arg1 from the Fujian province of arg2" "arg1 powder imported from arg2" "arg1 cultivation in arg2" "arg1 pearls from arg2" "arg1 was brought to Japan from arg2" "arg1 to cure diabetes in arg2" "arg1 with Japan or arg2" "arg1 was introduced to Japan by arg2" "arg1 that are very popular in arg2" "arg1 both came from arg2" "arg1 is produced outside arg2" "arg1 leaves grown in arg2" "arg1 producing regions of arg2" "arg1 on prostate cancer in arg2" "arg1 from the Fujian Province in arg2" ] using (green_tea, china)
SEAL @659 (100.0%) on 09-nov-2012 [ 1 ] using (green_tea, china)
CPL @1096 (93.8%) on 18-jan-2018 [ "arg2 began exporting arg1" "arg2 who drank more arg1" "arg2 who consumed higher amounts of arg1" "arg2 found that people who drink arg1" ] using (green_tea, japan)
CPL @1095 (100.0%) on 17-jan-2018 [ "arg1 extracts rich in arg2" "arg1 and red wine of arg2" "arg1 contains flavonoid arg2" "arg1 function as potent arg2" "arg1 contains higher levels of arg2" "arg1 is said to deliver arg2" "arg1 provides skin with arg2" "arg1 are very rich sources of arg2" "arg1 lies in its powerful arg2" "arg1 loaded with powerful arg2" "arg1 is rich in polyphenol arg2" "arg1 is a potent source of arg2" "arg1 has more potent arg2" "arg1 contain the highest amounts of arg2" "arg1 have recently been identified as arg2" "arg1 contains potent arg2" "arg1 is rich in powerful arg2" "arg1 is loaded with powerful arg2" "arg1 line contain arg2" "arg1 contained similar amounts of arg2" "arg1 which both contain arg2" "arg1 delivers as many arg2" "arg1 sources delivering arg2" "arg1 and its high content of arg2" "arg1 high in Vitamin C and arg2" "arg1 contains polyphenolic arg2" "arg1 extract is high in arg2" "arg1 is rich in potent arg2" "arg1 contains powerful arg2" "arg1 is an exceptional source of arg2" "arg1 enhanced with vitamins and arg2" "arg1 extract contains powerful arg2" "arg1 leaves rich in arg2" "arg1 rich in powerful arg2" "arg1 contain a class of arg2" "arg1 polyphenols are potent arg2" "arg1 has shown that it contains arg2" "arg1 is a natural source of arg2" ] using (green_tea, antioxidants)
SEAL @524 (50.0%) on 04-mar-2012 [ 1 ] using (green_tea, caffeine)
CPL @1103 (100.0%) on 06-mar-2018 [ "arg1 extract in combination with arg2" "arg1 extract containing arg2" "arg1 sildenafil tadalafil vardenafil com arg2" "arg1 side effects due to arg2" "arg1 extracts contain arg2" "arg1 has about DD mg of arg2" "arg1 catechins and arg2" "arg1 contains relatively large amounts of arg2" "arg1 contains approximately DD mg of arg2" "arg1 contains much less arg2" "arg1 contains mg of arg2" "arg1 and other drinks containing arg2" "arg1 extract compared with arg2" "arg1 suggesting that more than arg2" "arg1 also studied the effect of arg2" "arg1 has about half arg2" "arg1 contains DD milligrams of arg2" "arg1 reacts differently than arg2" "arg1 contains about DD mg of arg2" "arg1 but very rich in arg2" "arg1 leaves contain arg2" "arg1 contain about half arg2" "arg1 appear to work with arg2" "arg1 extract because of arg2" "arg1 being spiked with arg2" "arg1 without the trouble or arg2" "arg1 extract combined with arg2" "arg1 extract which has arg2" "arg1 contains half the amount of arg2" "arg1 that is naturally low in arg2" "arg1 and coffee contain arg2" "arg1 contains about half as much arg2" "arg1 extract is a source of arg2" "arg1 is a natural source of arg2" "arg1 is that it does contain arg2" "arg1 Polyphenols and arg2" "arg1 and coffee has arg2" "arg1 conceive as arg2" "arg1 has about DD milligrams of arg2" "arg1 contains the least arg2" "arg1 extract versus arg2" "arg1 with no calories and arg2" "arg1 pills do contain arg2" "arg1 extract contain arg2" "arg1 and metabolife arg2" ] using (green_tea, caffeine)
CPL @1103 (99.8%) on 06-mar-2018 [ "arg1 contains compounds called arg2" "arg1 contains three times more arg2" "arg1 provides a concentrated source of arg2" "arg1 contains antioxidants called arg2" "arg1 extract also contains arg2" "arg1 Green tea contains arg2" "arg1 extract is a source of arg2" "arg1 is a potent source of arg2" "arg1 has the highest amount of arg2" ] using (green_tea, catechins)
CPL @1103 (99.2%) on 06-mar-2018 [ "arg1 contains potent arg2" "arg1 is rich in polyphenol arg2" "arg1 extract which contains arg2" "arg1 lies in its powerful arg2" "arg1 extracts rich in arg2" "arg1 to help your body get arg2" "arg1 contains powerful arg2" ] using (green_tea, anti_oxidants)
CPL @1094 (100.0%) on 01-jan-2018 [ "arg1 also helps lower arg2" "arg1 help with high arg2" "arg1 may reduce high arg2" "arg1 can increase heart rate and arg2" "arg1 lowers high arg2" "arg1 is said to lower arg2" "arg1 can prevent high arg2" "arg1 helps lower high arg2" "arg1 helps to lower arg2" "arg1 can help lower arg2" "arg1 aids in lowering arg2" "arg1 can lower high arg2" "arg1 reduces high arg2" "arg1 seem to lower arg2" "arg1 lowers cholesterol and arg2" "arg1 helps lower arg2" "arg1 lower high arg2" "arg1 also helps to lower arg2" "arg1 prevents high arg2" ] using (green_tea, blood_pressure)
CPL @1094 (100.0%) on 01-jan-2018 [ "arg1 may fend off arg2" "arg1 consumption and prostate arg2" "arg1 and colon arg2" "arg1 can prevent liver arg2" "arg1 and reduced risk of prostate arg2" "arg1 and a lower risk for arg2" "arg1 consumption and gastric arg2" "arg1 can prevent prostate arg2" "arg1 reduced the risk of prostate arg2" "arg1 consumption and human arg2" "arg1 to lower risk of arg2" "arg1 fights skin arg2" "arg1 cures prostate arg2" "arg1 is beneficial in preventing arg2" "arg1 can help prevent prostate arg2" "arg1 reduced the risk of esophageal arg2" "arg1 are believed to help prevent arg2" "arg1 that help protect against arg2" "arg1 and prostate arg2" "arg1 can prevent stomach arg2" "arg1 consumption and ovarian arg2" "arg1 have a lower risk for arg2" "arg1 prevents prostate arg2" "arg1 and reduced risk of breast arg2" "arg1 consumption reduces the risk of arg2" "arg1 reduces the risk of prostate arg2" "arg1 prevented breast arg2" "arg1 help protect the body from arg2" "arg1 and risk of pancreatic arg2" "arg1 for the prevention of colorectal arg2" "arg1 in the prevention of human arg2" "arg1 prevent skin arg2" "arg1 and risk of ovarian arg2" "arg1 can prevent colon arg2" "arg1 may prevent prostate arg2" "arg1 and the risk of gastric arg2" "arg1 prevents oral arg2" "arg1 consumption and incidence of arg2" "arg1 to prevent prostate arg2" "arg1 include reducing the risk of arg2" "arg1 consumption and reduced risk of arg2" "arg1 reduce the risk of prostate arg2" "arg1 reduces the risk of skin arg2" "arg1 can protect against breast arg2" "arg1 help prevent arg2" "arg1 prevent colon arg2" "arg1 cancer Colon arg2" "arg1 and colorectal arg2" "arg1 consumption and colon arg2" "arg1 may help prevent skin arg2" "arg1 fights prostate arg2" "arg1 may be protective against arg2" "arg1 help to protect against arg2" "arg1 polyphenols against arg2" "arg1 can in fact lessen arg2" "arg1 may not only prevent arg2" "arg1 consumption and colorectal arg2" "arg1 may cut the risk of arg2" "arg1 may reduce risk of breast arg2" "arg1 may even help prevent arg2" "arg1 protect against arg2" "arg1 thought to protect against arg2" "arg1 may prevent colon arg2" "arg1 linked to reduced risk of arg2" "arg1 like prevention of arg2" "arg1 may fight prostate arg2" "arg1 in the prevention of oral arg2" "arg1 intake may reduce risk of arg2" "arg1 reduced risks of arg2" "arg1 on the development of colon arg2" "arg1 and cervical arg2" "arg1 may help ward off arg2" "arg1 consumption and lung arg2" "arg1 prevent prostate arg2" ] using (green_tea, cancer)
CPL @1096 (93.8%) on 18-jan-2018 [ "arg1 consumption on coronary arg2" "arg1 can help prevent coronary arg2" "arg1 intake and coronary arg2" "arg1 reduces the risk of coronary arg2" ] using (green_tea, artery_disease)
CPL @1103 (93.8%) on 06-mar-2018 [ "arg2 production and other agricultural arg1" "arg2 and dairy arg1" "arg2 cleansing skin care arg1" "arg2 and milk arg1" ] using (products, green_tea)
NELL has only weak evidence for items listed in grey
CPL @1104 (87.5%) on 18-mar-2018 [ "arg1 plant is indigenous to arg2" "arg1 has been consumed in arg2" "arg1 was first cultivated in arg2" ] using (green_tea, india)
CPL @1103 (87.5%) on 06-mar-2018 [ "arg1 products tested for arg2" "arg1 is a natural source of arg2" "arg1 leaves contain arg2" ] using (green_tea, fluoride)
CPL @1095 (87.5%) on 17-jan-2018 [ "arg1 decreases the risk of arg2" "arg1 can lower risk of arg2" "arg1 may lower risk for arg2" ] using (green_tea, esophageal_cancer)
CPL @1104 (87.5%) on 18-mar-2018 [ "arg1 help protect the body against arg2" "arg1 protect against arg2" "arg1 help to fight against arg2" ] using (green_tea, free_radical_damage)
CPL @1103 (87.5%) on 06-mar-2018 [ "arg1 intake reduced the risk of arg2" "arg1 polyphenols against arg2" "arg1 may reduce your risk of arg2" ] using (green_tea, skin_cancer)
CPL @1097 (100.0%) on 19-jan-2018 [ "arg1 leaves harvested in arg2" "arg1 is actually grown in arg2" "arg1 plant came from arg2" "arg1 EVERYTHING in arg2" "arg1 is from Eastern arg2" "arg1 has become the pride of arg2" "arg1 slush at arg2" "arg1 growing region of arg2" "arg1 has been consumed in arg2" "arg1 has been drunk in arg2" "arg1 producing countries are arg2" "arg1 throughout the world include arg2" "arg1 that is considered one of arg2" "arg1 was introduced to Japan from arg2" "arg1 drinkers in arg2" "arg1 mainly originates from arg2" "arg1 producing provinces of arg2" "arg1 was first cultivated in arg2" "arg1 has been known in arg2" "arg1 from the Fujian province of arg2" "arg1 powder imported from arg2" "arg1 cultivation in arg2" "arg1 pearls from arg2" "arg1 was brought to Japan from arg2" "arg1 to cure diabetes in arg2" "arg1 with Japan or arg2" "arg1 was introduced to Japan by arg2" "arg1 that are very popular in arg2" "arg1 both came from arg2" "arg1 is produced outside arg2" "arg1 leaves grown in arg2" "arg1 producing regions of arg2" "arg1 on prostate cancer in arg2" "arg1 from the Fujian Province in arg2" ] using (green_tea, china)
SEAL @659 (100.0%) on 09-nov-2012 [ 1 ] using (green_tea, china)
CPL @1097 (100.0%) on 19-jan-2018 [ "arg1 leaves harvested in arg2" "arg1 is actually grown in arg2" "arg1 plant came from arg2" "arg1 EVERYTHING in arg2" "arg1 is from Eastern arg2" "arg1 has become the pride of arg2" "arg1 slush at arg2" "arg1 growing region of arg2" "arg1 has been consumed in arg2" "arg1 has been drunk in arg2" "arg1 producing countries are arg2" "arg1 throughout the world include arg2" "arg1 that is considered one of arg2" "arg1 was introduced to Japan from arg2" "arg1 drinkers in arg2" "arg1 mainly originates from arg2" "arg1 producing provinces of arg2" "arg1 was first cultivated in arg2" "arg1 has been known in arg2" "arg1 from the Fujian province of arg2" "arg1 powder imported from arg2" "arg1 cultivation in arg2" "arg1 pearls from arg2" "arg1 was brought to Japan from arg2" "arg1 to cure diabetes in arg2" "arg1 with Japan or arg2" "arg1 was introduced to Japan by arg2" "arg1 that are very popular in arg2" "arg1 both came from arg2" "arg1 is produced outside arg2" "arg1 leaves grown in arg2" "arg1 producing regions of arg2" "arg1 on prostate cancer in arg2" "arg1 from the Fujian Province in arg2" ] using (green_tea, china)
SEAL @659 (100.0%) on 09-nov-2012 [ 1 ] using (green_tea, china)
CPL @1096 (93.8%) on 18-jan-2018 [ "arg2 began exporting arg1" "arg2 who drank more arg1" "arg2 who consumed higher amounts of arg1" "arg2 found that people who drink arg1" ] using (green_tea, japan)
CPL @1096 (93.8%) on 18-jan-2018 [ "arg2 began exporting arg1" "arg2 who drank more arg1" "arg2 who consumed higher amounts of arg1" "arg2 found that people who drink arg1" ] using (green_tea, japan)
CPL @1096 (93.8%) on 18-jan-2018 [ "arg2 began exporting arg1" "arg2 who drank more arg1" "arg2 who consumed higher amounts of arg1" "arg2 found that people who drink arg1" ] using (green_tea, japan)
SEAL @524 (50.0%) on 04-mar-2012 [ 1 ] using (green_tea, caffeine)
CPL @1103 (100.0%) on 06-mar-2018 [ "arg1 extract in combination with arg2" "arg1 extract containing arg2" "arg1 sildenafil tadalafil vardenafil com arg2" "arg1 side effects due to arg2" "arg1 extracts contain arg2" "arg1 has about DD mg of arg2" "arg1 catechins and arg2" "arg1 contains relatively large amounts of arg2" "arg1 contains approximately DD mg of arg2" "arg1 contains much less arg2" "arg1 contains mg of arg2" "arg1 and other drinks containing arg2" "arg1 extract compared with arg2" "arg1 suggesting that more than arg2" "arg1 also studied the effect of arg2" "arg1 has about half arg2" "arg1 contains DD milligrams of arg2" "arg1 reacts differently than arg2" "arg1 contains about DD mg of arg2" "arg1 but very rich in arg2" "arg1 leaves contain arg2" "arg1 contain about half arg2" "arg1 appear to work with arg2" "arg1 extract because of arg2" "arg1 being spiked with arg2" "arg1 without the trouble or arg2" "arg1 extract combined with arg2" "arg1 extract which has arg2" "arg1 contains half the amount of arg2" "arg1 that is naturally low in arg2" "arg1 and coffee contain arg2" "arg1 contains about half as much arg2" "arg1 extract is a source of arg2" "arg1 is a natural source of arg2" "arg1 is that it does contain arg2" "arg1 Polyphenols and arg2" "arg1 and coffee has arg2" "arg1 conceive as arg2" "arg1 has about DD milligrams of arg2" "arg1 contains the least arg2" "arg1 extract versus arg2" "arg1 with no calories and arg2" "arg1 pills do contain arg2" "arg1 extract contain arg2" "arg1 and metabolife arg2" ] using (green_tea, caffeine)
CPL @1104 (87.5%) on 18-mar-2018 [ "arg1 contains less than half arg2" "arg1 contains the least arg2" "arg1 has about half arg2" ] using (green_tea, amount)
CPL @1103 (87.5%) on 06-mar-2018 [ "arg2 than blueberries or arg1" "arg2 than red wine or arg1" "arg2 than red wine and arg1" ] using (green_tea, capacity)
CPL @1103 (99.2%) on 06-mar-2018 [ "arg1 contains potent arg2" "arg1 is rich in polyphenol arg2" "arg1 extract which contains arg2" "arg1 lies in its powerful arg2" "arg1 extracts rich in arg2" "arg1 to help your body get arg2" "arg1 contains powerful arg2" ] using (green_tea, anti_oxidants)
CPL @1103 (87.5%) on 06-mar-2018 [ "arg2 than blueberries or arg1" "arg2 than red wine or arg1" "arg2 than red wine and arg1" ] using (green_tea, capacity)
CPL @1103 (87.5%) on 06-mar-2018 [ "arg1 Green tea contains arg2" "arg1 also contains small amounts of arg2" "arg1 is a potent source of arg2" ] using (green_tea, vitamins)
CPL @1103 (87.5%) on 06-mar-2018 [ "arg2 than blueberries or arg1" "arg2 than red wine or arg1" "arg2 than red wine and arg1" ] using (green_tea, capacity)
CPL @1104 (87.5%) on 18-mar-2018 [ "arg1 contains less than half arg2" "arg1 contains the least arg2" "arg1 has about half arg2" ] using (green_tea, amount)
CPL @1095 (100.0%) on 17-jan-2018 [ "arg1 extracts rich in arg2" "arg1 and red wine of arg2" "arg1 contains flavonoid arg2" "arg1 function as potent arg2" "arg1 contains higher levels of arg2" "arg1 is said to deliver arg2" "arg1 provides skin with arg2" "arg1 are very rich sources of arg2" "arg1 lies in its powerful arg2" "arg1 loaded with powerful arg2" "arg1 is rich in polyphenol arg2" "arg1 is a potent source of arg2" "arg1 has more potent arg2" "arg1 contain the highest amounts of arg2" "arg1 have recently been identified as arg2" "arg1 contains potent arg2" "arg1 is rich in powerful arg2" "arg1 is loaded with powerful arg2" "arg1 line contain arg2" "arg1 contained similar amounts of arg2" "arg1 which both contain arg2" "arg1 delivers as many arg2" "arg1 sources delivering arg2" "arg1 and its high content of arg2" "arg1 high in Vitamin C and arg2" "arg1 contains polyphenolic arg2" "arg1 extract is high in arg2" "arg1 is rich in potent arg2" "arg1 contains powerful arg2" "arg1 is an exceptional source of arg2" "arg1 enhanced with vitamins and arg2" "arg1 extract contains powerful arg2" "arg1 leaves rich in arg2" "arg1 rich in powerful arg2" "arg1 contain a class of arg2" "arg1 polyphenols are potent arg2" "arg1 has shown that it contains arg2" "arg1 is a natural source of arg2" ] using (green_tea, antioxidants)
CPL @1103 (87.5%) on 06-mar-2018 [ "arg1 contains caffeine and arg2" "arg1 is a natural source of arg2" "arg1 has a higher content of arg2" ] using (green_tea, tannins)
CPL @1103 (87.5%) on 06-mar-2018 [ "arg1 Green tea contains arg2" "arg1 also contains small amounts of arg2" "arg1 is a potent source of arg2" ] using (green_tea, vitamins)
CPL @1103 (87.5%) on 06-mar-2018 [ "arg1 Green tea contains arg2" "arg1 also contains small amounts of arg2" "arg1 is a potent source of arg2" ] using (green_tea, vitamins)
CPL @1104 (87.5%) on 18-mar-2018 [ "arg1 contains less than half arg2" "arg1 contains the least arg2" "arg1 has about half arg2" ] using (green_tea, amount)
CPL @1095 (100.0%) on 17-jan-2018 [ "arg1 extracts rich in arg2" "arg1 and red wine of arg2" "arg1 contains flavonoid arg2" "arg1 function as potent arg2" "arg1 contains higher levels of arg2" "arg1 is said to deliver arg2" "arg1 provides skin with arg2" "arg1 are very rich sources of arg2" "arg1 lies in its powerful arg2" "arg1 loaded with powerful arg2" "arg1 is rich in polyphenol arg2" "arg1 is a potent source of arg2" "arg1 has more potent arg2" "arg1 contain the highest amounts of arg2" "arg1 have recently been identified as arg2" "arg1 contains potent arg2" "arg1 is rich in powerful arg2" "arg1 is loaded with powerful arg2" "arg1 line contain arg2" "arg1 contained similar amounts of arg2" "arg1 which both contain arg2" "arg1 delivers as many arg2" "arg1 sources delivering arg2" "arg1 and its high content of arg2" "arg1 high in Vitamin C and arg2" "arg1 contains polyphenolic arg2" "arg1 extract is high in arg2" "arg1 is rich in potent arg2" "arg1 contains powerful arg2" "arg1 is an exceptional source of arg2" "arg1 enhanced with vitamins and arg2" "arg1 extract contains powerful arg2" "arg1 leaves rich in arg2" "arg1 rich in powerful arg2" "arg1 contain a class of arg2" "arg1 polyphenols are potent arg2" "arg1 has shown that it contains arg2" "arg1 is a natural source of arg2" ] using (green_tea, antioxidants)
CPL @1103 (87.5%) on 06-mar-2018 [ "arg1 Green tea contains arg2" "arg1 also contains small amounts of arg2" "arg1 is a potent source of arg2" ] using (green_tea, vitamins)
CPL @1103 (87.5%) on 06-mar-2018 [ "arg1 Green tea contains arg2" "arg1 also contains small amounts of arg2" "arg1 is a potent source of arg2" ] using (green_tea, vitamins)
CPL @1104 (87.5%) on 18-mar-2018 [ "arg1 contains less than half arg2" "arg1 contains the least arg2" "arg1 has about half arg2" ] using (green_tea, amount)
CPL @1104 (87.5%) on 18-mar-2018 [ "arg1 contains less than half arg2" "arg1 contains the least arg2" "arg1 has about half arg2" ] using (green_tea, amount)
CPL @1103 (87.5%) on 06-mar-2018 [ "arg2 than blueberries or arg1" "arg2 than red wine or arg1" "arg2 than red wine and arg1" ] using (green_tea, capacity)
CPL @1095 (100.0%) on 17-jan-2018 [ "arg1 extracts rich in arg2" "arg1 and red wine of arg2" "arg1 contains flavonoid arg2" "arg1 function as potent arg2" "arg1 contains higher levels of arg2" "arg1 is said to deliver arg2" "arg1 provides skin with arg2" "arg1 are very rich sources of arg2" "arg1 lies in its powerful arg2" "arg1 loaded with powerful arg2" "arg1 is rich in polyphenol arg2" "arg1 is a potent source of arg2" "arg1 has more potent arg2" "arg1 contain the highest amounts of arg2" "arg1 have recently been identified as arg2" "arg1 contains potent arg2" "arg1 is rich in powerful arg2" "arg1 is loaded with powerful arg2" "arg1 line contain arg2" "arg1 contained similar amounts of arg2" "arg1 which both contain arg2" "arg1 delivers as many arg2" "arg1 sources delivering arg2" "arg1 and its high content of arg2" "arg1 high in Vitamin C and arg2" "arg1 contains polyphenolic arg2" "arg1 extract is high in arg2" "arg1 is rich in potent arg2" "arg1 contains powerful arg2" "arg1 is an exceptional source of arg2" "arg1 enhanced with vitamins and arg2" "arg1 extract contains powerful arg2" "arg1 leaves rich in arg2" "arg1 rich in powerful arg2" "arg1 contain a class of arg2" "arg1 polyphenols are potent arg2" "arg1 has shown that it contains arg2" "arg1 is a natural source of arg2" ] using (green_tea, antioxidants)
CPL @1103 (99.2%) on 06-mar-2018 [ "arg1 contains potent arg2" "arg1 is rich in polyphenol arg2" "arg1 extract which contains arg2" "arg1 lies in its powerful arg2" "arg1 extracts rich in arg2" "arg1 to help your body get arg2" "arg1 contains powerful arg2" ] using (green_tea, anti_oxidants)
CPL @1103 (99.8%) on 06-mar-2018 [ "arg1 contains compounds called arg2" "arg1 contains three times more arg2" "arg1 provides a concentrated source of arg2" "arg1 contains antioxidants called arg2" "arg1 extract also contains arg2" "arg1 Green tea contains arg2" "arg1 extract is a source of arg2" "arg1 is a potent source of arg2" "arg1 has the highest amount of arg2" ] using (green_tea, catechins)
CPL @1103 (93.8%) on 06-mar-2018 [ "arg1 leaves are rich in arg2" "arg1 contains a chemical called arg2" "arg1 contains antioxidants called arg2" "arg1 Green tea is rich in arg2" ] using (green_tea, catechin_polyphenols)
CPL @1104 (99.2%) on 18-mar-2018 [ "arg1 contains a substance known as arg2" "arg1 catechins and arg2" "arg1 contains a chemical known as arg2" "arg1 extracts rich in arg2" "arg1 contains an antioxidant called arg2" "arg1 contains the antioxidant arg2" "arg1 contains a substance called arg2" ] using (green_tea, epigallocatechin_gallate)
CPL @1103 (100.0%) on 06-mar-2018 [ "arg1 contains antioxidants called arg2" "arg1 contains caffeine and arg2" "arg1 extract is high in arg2" "arg1 extracts contain arg2" "arg1 Green tea contains arg2" "arg1 leaves contain arg2" "arg1 leaves are rich in arg2" "arg1 extract rich in arg2" "arg1 is rich in powerful arg2" "arg1 contains the highest levels of arg2" "arg1 contains antioxidant arg2" "arg1 contains compounds called arg2" "arg1 contains the highest level of arg2" "arg1 is a natural source of arg2" ] using (green_tea, polyphenols)
CPL @1103 (93.8%) on 06-mar-2018 [ "arg1 leaves are rich in arg2" "arg1 contains a chemical called arg2" "arg1 contains antioxidants called arg2" "arg1 Green tea is rich in arg2" ] using (green_tea, catechin_polyphenols)
CPL @1103 (100.0%) on 06-mar-2018 [ "arg1 contains antioxidants called arg2" "arg1 contains caffeine and arg2" "arg1 extract is high in arg2" "arg1 extracts contain arg2" "arg1 Green tea contains arg2" "arg1 leaves contain arg2" "arg1 leaves are rich in arg2" "arg1 extract rich in arg2" "arg1 is rich in powerful arg2" "arg1 contains the highest levels of arg2" "arg1 contains antioxidant arg2" "arg1 contains compounds called arg2" "arg1 contains the highest level of arg2" "arg1 is a natural source of arg2" ] using (green_tea, polyphenols)
CPL @1103 (87.5%) on 06-mar-2018 [ "arg1 Green tea contains arg2" "arg1 also contains small amounts of arg2" "arg1 is a potent source of arg2" ] using (green_tea, vitamins)
CPL @1094 (100.0%) on 01-jan-2018 [ "arg1 also helps lower arg2" "arg1 help with high arg2" "arg1 may reduce high arg2" "arg1 can increase heart rate and arg2" "arg1 lowers high arg2" "arg1 is said to lower arg2" "arg1 can prevent high arg2" "arg1 helps lower high arg2" "arg1 helps to lower arg2" "arg1 can help lower arg2" "arg1 aids in lowering arg2" "arg1 can lower high arg2" "arg1 reduces high arg2" "arg1 seem to lower arg2" "arg1 lowers cholesterol and arg2" "arg1 helps lower arg2" "arg1 lower high arg2" "arg1 also helps to lower arg2" "arg1 prevents high arg2" ] using (green_tea, blood_pressure)
CPL @1094 (100.0%) on 01-jan-2018 [ "arg1 also helps lower arg2" "arg1 help with high arg2" "arg1 may reduce high arg2" "arg1 can increase heart rate and arg2" "arg1 lowers high arg2" "arg1 is said to lower arg2" "arg1 can prevent high arg2" "arg1 helps lower high arg2" "arg1 helps to lower arg2" "arg1 can help lower arg2" "arg1 aids in lowering arg2" "arg1 can lower high arg2" "arg1 reduces high arg2" "arg1 seem to lower arg2" "arg1 lowers cholesterol and arg2" "arg1 helps lower arg2" "arg1 lower high arg2" "arg1 also helps to lower arg2" "arg1 prevents high arg2" ] using (green_tea, blood_pressure)
CPL @1104 (99.9%) on 18-mar-2018 [ "arg1 has been found to lower arg2" "arg1 helps lower arg2" "arg1 extract lowers arg2" "arg1 helps reduce high arg2" "arg1 can help lower your arg2" "arg1 and its ability to lower arg2" "arg1 may help lower arg2" "arg1 can help lower arg2" "arg1 has been shown to lower arg2" "arg1 can help to lower arg2" ] using (green_tea, cholesterol)
CPL @1104 (99.9%) on 18-mar-2018 [ "arg1 has been found to lower arg2" "arg1 helps lower arg2" "arg1 extract lowers arg2" "arg1 helps reduce high arg2" "arg1 can help lower your arg2" "arg1 and its ability to lower arg2" "arg1 may help lower arg2" "arg1 can help lower arg2" "arg1 has been shown to lower arg2" "arg1 can help to lower arg2" ] using (green_tea, cholesterol)
CPL @1094 (93.8%) on 01-jan-2018 [ "arg1 has the ability to lower arg2" "arg1 can help to lower arg2" "arg1 helps lower arg2" "arg1 may help lower arg2" ] using (green_tea, total_cholesterol_levels)
CPL @1094 (100.0%) on 01-jan-2018 [ "arg1 helps lower arg2" "arg1 has the ability to lower arg2" "arg1 helps to lower arg2" "arg1 daily had lower arg2" "arg1 can help to lower arg2" "arg1 daily can lower arg2" "arg1 drinkers have lower arg2" "arg1 daily can help lower arg2" "arg1 consumption lowered arg2" "arg1 seems to lower arg2" "arg1 every day can reduce arg2" "arg1 can help lower arg2" "arg1 may help lower arg2" "arg1 per day can lower arg2" "arg1 everyday can reduce arg2" ] using (green_tea, risk)
CPL @1104 (99.9%) on 18-mar-2018 [ "arg1 has been found to lower arg2" "arg1 helps lower arg2" "arg1 extract lowers arg2" "arg1 helps reduce high arg2" "arg1 can help lower your arg2" "arg1 and its ability to lower arg2" "arg1 may help lower arg2" "arg1 can help lower arg2" "arg1 has been shown to lower arg2" "arg1 can help to lower arg2" ] using (green_tea, cholesterol)
CPL @1094 (100.0%) on 01-jan-2018 [ "arg1 also helps lower arg2" "arg1 help with high arg2" "arg1 may reduce high arg2" "arg1 can increase heart rate and arg2" "arg1 lowers high arg2" "arg1 is said to lower arg2" "arg1 can prevent high arg2" "arg1 helps lower high arg2" "arg1 helps to lower arg2" "arg1 can help lower arg2" "arg1 aids in lowering arg2" "arg1 can lower high arg2" "arg1 reduces high arg2" "arg1 seem to lower arg2" "arg1 lowers cholesterol and arg2" "arg1 helps lower arg2" "arg1 lower high arg2" "arg1 also helps to lower arg2" "arg1 prevents high arg2" ] using (green_tea, blood_pressure)
CPL @1104 (99.9%) on 18-mar-2018 [ "arg1 has been found to lower arg2" "arg1 helps lower arg2" "arg1 extract lowers arg2" "arg1 helps reduce high arg2" "arg1 can help lower your arg2" "arg1 and its ability to lower arg2" "arg1 may help lower arg2" "arg1 can help lower arg2" "arg1 has been shown to lower arg2" "arg1 can help to lower arg2" ] using (green_tea, cholesterol)
CPL @1104 (99.9%) on 18-mar-2018 [ "arg1 has been found to lower arg2" "arg1 helps lower arg2" "arg1 extract lowers arg2" "arg1 helps reduce high arg2" "arg1 can help lower your arg2" "arg1 and its ability to lower arg2" "arg1 may help lower arg2" "arg1 can help lower arg2" "arg1 has been shown to lower arg2" "arg1 can help to lower arg2" ] using (green_tea, cholesterol)
CPL @1104 (99.9%) on 18-mar-2018 [ "arg1 has been found to lower arg2" "arg1 helps lower arg2" "arg1 extract lowers arg2" "arg1 helps reduce high arg2" "arg1 can help lower your arg2" "arg1 and its ability to lower arg2" "arg1 may help lower arg2" "arg1 can help lower arg2" "arg1 has been shown to lower arg2" "arg1 can help to lower arg2" ] using (green_tea, cholesterol)
CPL @1104 (87.5%) on 18-mar-2018 [ "arg1 help protect the body against arg2" "arg1 protect against arg2" "arg1 help to fight against arg2" ] using (green_tea, free_radical_damage)
CPL @1096 (93.8%) on 18-jan-2018 [ "arg1 consumption on coronary arg2" "arg1 can help prevent coronary arg2" "arg1 intake and coronary arg2" "arg1 reduces the risk of coronary arg2" ] using (green_tea, artery_disease)
CPL @1104 (87.5%) on 18-mar-2018 [ "arg1 decrease the risk for arg2" "arg1 might help prevent arg2" "arg1 consumption reduces the risk of arg2" ] using (green_tea, type)
CPL @1104 (87.5%) on 18-mar-2018 [ "arg1 decrease the risk for arg2" "arg1 might help prevent arg2" "arg1 consumption reduces the risk of arg2" ] using (green_tea, type)
CPL @1104 (87.5%) on 18-mar-2018 [ "arg1 decrease the risk for arg2" "arg1 might help prevent arg2" "arg1 consumption reduces the risk of arg2" ] using (green_tea, type)
CPL @1104 (87.5%) on 18-mar-2018 [ "arg1 decrease the risk for arg2" "arg1 might help prevent arg2" "arg1 consumption reduces the risk of arg2" ] using (green_tea, type)
CPL @1096 (93.8%) on 18-jan-2018 [ "arg1 consumption on coronary arg2" "arg1 can help prevent coronary arg2" "arg1 intake and coronary arg2" "arg1 reduces the risk of coronary arg2" ] using (green_tea, artery_disease)
CPL @1094 (100.0%) on 01-jan-2018 [ "arg1 may fend off arg2" "arg1 consumption and prostate arg2" "arg1 and colon arg2" "arg1 can prevent liver arg2" "arg1 and reduced risk of prostate arg2" "arg1 and a lower risk for arg2" "arg1 consumption and gastric arg2" "arg1 can prevent prostate arg2" "arg1 reduced the risk of prostate arg2" "arg1 consumption and human arg2" "arg1 to lower risk of arg2" "arg1 fights skin arg2" "arg1 cures prostate arg2" "arg1 is beneficial in preventing arg2" "arg1 can help prevent prostate arg2" "arg1 reduced the risk of esophageal arg2" "arg1 are believed to help prevent arg2" "arg1 that help protect against arg2" "arg1 and prostate arg2" "arg1 can prevent stomach arg2" "arg1 consumption and ovarian arg2" "arg1 have a lower risk for arg2" "arg1 prevents prostate arg2" "arg1 and reduced risk of breast arg2" "arg1 consumption reduces the risk of arg2" "arg1 reduces the risk of prostate arg2" "arg1 prevented breast arg2" "arg1 help protect the body from arg2" "arg1 and risk of pancreatic arg2" "arg1 for the prevention of colorectal arg2" "arg1 in the prevention of human arg2" "arg1 prevent skin arg2" "arg1 and risk of ovarian arg2" "arg1 can prevent colon arg2" "arg1 may prevent prostate arg2" "arg1 and the risk of gastric arg2" "arg1 prevents oral arg2" "arg1 consumption and incidence of arg2" "arg1 to prevent prostate arg2" "arg1 include reducing the risk of arg2" "arg1 consumption and reduced risk of arg2" "arg1 reduce the risk of prostate arg2" "arg1 reduces the risk of skin arg2" "arg1 can protect against breast arg2" "arg1 help prevent arg2" "arg1 prevent colon arg2" "arg1 cancer Colon arg2" "arg1 and colorectal arg2" "arg1 consumption and colon arg2" "arg1 may help prevent skin arg2" "arg1 fights prostate arg2" "arg1 may be protective against arg2" "arg1 help to protect against arg2" "arg1 polyphenols against arg2" "arg1 can in fact lessen arg2" "arg1 may not only prevent arg2" "arg1 consumption and colorectal arg2" "arg1 may cut the risk of arg2" "arg1 may reduce risk of breast arg2" "arg1 may even help prevent arg2" "arg1 protect against arg2" "arg1 thought to protect against arg2" "arg1 may prevent colon arg2" "arg1 linked to reduced risk of arg2" "arg1 like prevention of arg2" "arg1 may fight prostate arg2" "arg1 in the prevention of oral arg2" "arg1 intake may reduce risk of arg2" "arg1 reduced risks of arg2" "arg1 on the development of colon arg2" "arg1 and cervical arg2" "arg1 may help ward off arg2" "arg1 consumption and lung arg2" "arg1 prevent prostate arg2" ] using (green_tea, cancer)
CPL @1104 (87.5%) on 18-mar-2018 [ "arg1 decrease the risk for arg2" "arg1 might help prevent arg2" "arg1 consumption reduces the risk of arg2" ] using (green_tea, type)
CPL @1104 (87.5%) on 18-mar-2018 [ "arg1 decrease the risk for arg2" "arg1 might help prevent arg2" "arg1 consumption reduces the risk of arg2" ] using (green_tea, type)
CPL @1104 (87.5%) on 18-mar-2018 [ "arg1 decrease the risk for arg2" "arg1 might help prevent arg2" "arg1 consumption reduces the risk of arg2" ] using (green_tea, type)
CPL @1104 (87.5%) on 18-mar-2018 [ "arg1 decrease the risk for arg2" "arg1 might help prevent arg2" "arg1 consumption reduces the risk of arg2" ] using (green_tea, type)
CPL @1104 (87.5%) on 18-mar-2018 [ "arg1 decrease the risk for arg2" "arg1 might help prevent arg2" "arg1 consumption reduces the risk of arg2" ] using (green_tea, type)
CPL @1104 (87.5%) on 18-mar-2018 [ "arg1 decrease the risk for arg2" "arg1 might help prevent arg2" "arg1 consumption reduces the risk of arg2" ] using (green_tea, type)
CPL @1104 (87.5%) on 18-mar-2018 [ "arg1 decrease the risk for arg2" "arg1 might help prevent arg2" "arg1 consumption reduces the risk of arg2" ] using (green_tea, type)
CPL @1104 (87.5%) on 18-mar-2018 [ "arg1 decrease the risk for arg2" "arg1 might help prevent arg2" "arg1 consumption reduces the risk of arg2" ] using (green_tea, type)
CPL @1104 (87.5%) on 18-mar-2018 [ "arg1 decrease the risk for arg2" "arg1 might help prevent arg2" "arg1 consumption reduces the risk of arg2" ] using (green_tea, type)
CPL @1104 (87.5%) on 18-mar-2018 [ "arg1 decrease the risk for arg2" "arg1 might help prevent arg2" "arg1 consumption reduces the risk of arg2" ] using (green_tea, type)
CPL @1097 (93.8%) on 19-jan-2018 [ "arg1 have indicated that drinking arg2" "arg1 show that drinking arg2" "arg1 indicate that consuming arg2" "arg1 have shown that drinking arg2" ] using (studies, green_tea)
CPL @1094 (99.2%) on 01-jan-2018 [ "arg2 and home made arg1" "arg2 and a slice of chocolate arg1" "arg2 mousse arg1" "arg2 and slice of arg1" "arg2 flavoured sponge arg1" "arg2 and a slice of carrot arg1" "arg2 ice cream or chocolate arg1" ] using (cake, green_tea)