CMC @1046 (100.0%) on 30-mar-2017 [ SUFFIX=art 3.64627 SUFFIX=mart 2.80537 LASTSUFFIX=art 2.30515 LASTSUFFIX=mart 2.10925 PREFIX=wa 1.68221 SUFFIX=rt 1.39733 FULL_WORDSHAPE=AaAa 0.85722 FULL_WORDSHAPE=A -0.89142 FULL_POS=NN -0.90904 WORDS -1.88474 ] using walmart
CPL @1096 (90.7%) on 18-jan-2018 [ "store like _" "supermarket chains such as _" "them being sold at _" "goods section at _" "major retailers such as _" "mortar retailers like _" "online retailers , including _" "dress I bought at _" "general stores such as _" "food section at _" "international corporations such as _" "big stores such as _" "checkout counter at _" "bag I bought at _" "bargain bins at _" "brands found at _" "cheap ones at _" "checkout girl at _" "I never shop at _" "I shopped at _" "hardware department at _" "favorite store is _" "store chains such as _" "Major retailers include _" "Retail giants like _" "craft paint from _" "they shopped at _" "shippers like _" "Many retailers , such as _" "large chains such as _" "other retailers , such as _" "mortar stores like _" "clearance rack at _" "fabric department at _" "various stores like _" "items we buy at _" "shopping venues such as _" "shower curtains from _" "you’re shopping at _" "you shop at _" "shopping trips to _" "things I got at _" "superstore like _" "Deals at _" "stores including _" "supermarkets like _" "Day sale at _" "supermarkets , such as _" "regular shopping at _" "other major retailers like _" "retail store like _" "chain stores include _" "big stores like _" "cashier position at _" "big chains like _" "chains such as _" "retailer behind _" "Bedding at _" "she bought at _" "shopping carts at _" "security guys to _" "flyers up at _" "shopping centers such as _" "discount retailers , such as _" "cash register at _" "aquarium section of _" "retailer such as _" "rotisserie chicken at _" "_ is not the only corporation" "national retailers including _" "merchants such as _" "goods department of _" "chain store like _" "Gift cards to _" "Sam Walton built _" "Christmas section of _" "_ is the only retailer" "cheap crap from _" "U.S. retailers including _" "_ 's price cuts" "recent competition from _" "retailers including _" "general stores like _" "price match at _" "retail chains , such as _" "strip mall by _" "they went shopping at _" "department manager at _" "discount stores , such as _" "grocery stores , including _" "big box stores like _" "cake decorator at _" "Mine was purchased at _" "_ is the only store" "large retailers like _" "market retailers such as _" "midnight runs to _" "major retail chains like _" "Customer Service desk at _" "Large retailers like _" "clearance section of _" "craft section of _" "chain stores , like _" "discount bin at _" "retail stores , like _" "pet department of _" "big retailers , including _" "retailing giants such as _" "major customers like _" "temporary worker at _" "they 're cheap at _" "sales clerk at _" "we went shopping at _" "retail companies like _" "retail outlet like _" "food shopping at _" "paper (available at _" "I was checking out at _" "Supplies are available at _" "They are registered at _" "big store like _" "automotive accessories at _" "we shopped at _" "we purchase at _" "dairy section of _" "he shopped at _" "garden section of _" "Walton family of _" "Chinese goods at _" "You shop at _" "I often shop at _" "CFLs from _" "Big box stores like _" "wholesalers like _" "shelf space at _" "crafts section at _" "deli department at _" "department stores , including _" "I do not shop at _" "Other stores , like _" "I do n't shop _" "mega-stores such as _" "local stores like _" "late night trip to _" "plastic bins at _" "retail chain like _" "retail store such as _" "shopping expedition at _" "I hate shopping at _" "I have n't shopped at _" "box retailer like _" "check-out counter in _" "retail stores , including _" "retailers , including _" "super clearance at _" "retail giants like _" "retail outlets such as _" "retail businesses like _" "stock shelves at _" "like shopping at _" "mega-retailers such as _" "Major retailers like _" "large retailers such as _" "online merchants including _" "Working Families for _" "Friday shopping at _" "checkout line at _" "stuff they sell at _" "shopping excursion to _" "anchor tenants such as _" "mass merchants such as _" "mass retailers such as _" "last time I shopped at _" "shoes were from _" "retailers , led by _" "problem shopping at _" "Walton built _" "_ 's electronics department" "I just bought at _" "_ anchored shopping center" "_ pays low wages" "box retailers such as _" "bigger stores like _" "_ carry a product" "food retailers such as _" "international retailers such as _" "department store such as _" "brand is sold at _" "school supplies at _" "automotive department at _" "groceries at _" "digital scale from _" "longer shop at _" "local places like _" "popular stores like _" "price I found was at _" "produce section at _" "sporting goods section at _" "toy department of _" "midnight run to _" "mass retailers like _" "inexpensive ones at _" "local department stores such as _" "large stores such as _" "merchants like _" "empty shelves at _" "big-box stores such as _" "people shopping at _" "retail locations , including _" "produce section of _" "I were shopping at _" "I actually found at _" "Asda , owned by _" "they shop at _" "stores such as _" "pharmacy area of _" "retail companies such as _" "partner stores like _" "retailer , like _" "brands sold at _" "brand available at _" "time I go in to _" "toy section of _" "national chain stores such as _" "large retail stores such as _" "big-box store like _" "big-box stores like _" "American chains like _" "isles at _" "national chains like _" "local store such as _" "chains , including _" "other stores including _" "bagger at _" "big box retailers like _" "baking sheets at _" "cashier at _" "dollar bin at _" "Classic presented by _" "She was employed at _" "_ 's aisles" "DVD set at _" "global retailers like _" "grocery stores owned by _" "department store like _" "I 've been shopping at _" "I buy at _" "him shopping at _" "I just bought from _" "I shop at _" "She was employed with _" "discount bins at _" "I still shop _" "pop stores to _" "_ has pretty good prices" "discount retailer like _" "cotton socks from _" "favorite stores , like _" "supervisors called _" "retail giants such as _" "big chains such as _" "craft department of _" "e-tailers like _" "discount shops like _" "shelves at _" "price matching at _" "photo department at _" "stocks shelves at _" "camping section at _" "office supplies at _" "oil is available at _" "box retailers like _" "dish towels at _" "big stores , like _" "Porch Swing at _" "photo center at _" "stuff I bought at _" "stores nationwide , including _" "stock boy at _" "mega stores like _" "jar is from _" "socks are from _" "film developed at _" "gift cards donated by _" "stores like _" "retail pharmacies such as _" "book aisle at _" "large discount stores like _" "mass merchandisers such as _" "isle at _" "superstore such as _" "stores nationwide including _" "Many stores , such as _" "discount store like _" "craft department at _" "supply stores like _" "weekly shopping at _" "bargain bin at _" "box stores such as _" "_ 's Supercenters" "Big-box stores like _" "I purchase at _" "I 've purchased at _" "_ sells junk" "I no longer shop at _" "large retailers , including _" "major retail outlets such as _" "craft section at _" "cheap goods at _" "store chains like _" "retailers , such as _" "wage job at _" "_ is lowering prices" "superstores such as _" "it ’s available at _" "man shopping at _" "major retailers , including _" "clothing sold at _" "retail stores like _" "foods sold in _" "frequent shopper at _" "many stores including _" "merchant such as _" "major retailers like _" "kind you get at _" "many retailers such as _" "music section at _" "large retail stores like _" "large retail chains like _" "Black Friday shopping at _" "Large stores such as _" "Walton founded _" "Department stores such as _" "many stores like _" "ones they sell at _" "wash cloths at _" "big customers like _" "_ was having a big sale" "bakery manager at _" "I 've shopped at _" "Service desk at _" "online retailers such as _" "prevention officer at _" "minimum wage job at _" "large department stores like _" "check-out line in _" "department stores , such as _" "electronics section of _" "cheap stuff from _" "super markets like _" "box store like _" "line sold at _" "I purchased at _" "aisle at _" "blister pack at _" "retail outlets like _" "pill box from _" "regional chains such as _" "pressure cuff at _" "more money working at _" "prepaid phone from _" "major shopping centers such as _" "large employers like _" "retail chains like _" "mega retailers like _" "shopping at _" "supply section of _" "same shopping center as _" "items you buy in _" "larger stores like _" "Grocery shopping at _" "customer service desk at _" "book section at _" "chain owned by _" "retailer like _" "merchants including _" "local stores , including _" "fabric section of _" "check-out clerk at _" "U.S. retailers such as _" "Ribbon is from _" "anything sold at _" "chains like _" "national retailers such as _" "major chain stores like _" "office supply section of _" "tackle box from _" "starter pack at _" "similar ones at _" "stores , such as _" "_ buying a large bag" "discount chains like _" "development anchored by _" "discount stores like _" "department store chains such as _" "retail outlets , such as _" "quick shopping at _" "mega-retailers like _" "_ also have sales" "large store like _" "money shopping at _" "foreign retailers like _" "end department stores like _" "larger stores , such as _" "prepaid cell phone at _" "photos printed at _" "retail stores such as _" "more shelf space at _" "pet products at _" "discount department stores such as _" "busy shopping at _" "Christmas sale at _" "large retailers , such as _" "me shop at _" "I bought at _" "I avoid shopping at _" "discount store such as _" "cute ones at _" "chains , such as _" "_ 's house brand" "clinic inside _" "cheap ones from _" "huge retailers like _" "dumpster diving behind _" "discount place like _" "_ 's labour practices" ] using walmart
OE @830 (99.5%) on 13-apr-2014 [ ] using walmart
Human feedback from NELL.08m.160.SSFeedback.csv @161 on 09-nov-2010 [ concept:publication:walmart generalizations concept:publication Action=(+retailStore) ] using walmart
SEAL @211 (99.7%) on 17-feb-2011 [ 1234567 ] using walmart
CPL @1096 (88.6%) on 18-jan-2018 [ "retailers like _" "retailers , such as _" "retailer such as _" "price drop products of _" "drop products of _" "retail partners , including _" "Swimwear from _" "Car Seats from _" "online retailers like _" "recent price drop products of _" ] using walmart_com
CMC @1097 (100.0%) on 19-jan-2018 [ SUFFIX=com 2.84443 SUFFIX=.com 2.13708 SUFFIX=om 2.12517 LASTSUFFIX=om 1.93849 LASTSUFFIX=.com 1.89698 LASTSUFFIX=com 1.88128 PREFIX=wa 1.04009 FULL_POS=NN -0.51169 POS=NN -0.68405 WORDS -1.96217 ] using walmart_com
relations
NELL has only weak evidence for items listed in grey
PRA @960 (100.0%) on 10-nov-2015 [ "Y~_X0~concept:superpartof" "Y~X0~concept:superpartof" "Y~_X0~concept:superpartof,concept:subpartof,concept:superpartof" "Y~X0~concept:controlledbyagent" "Y~X0~concept:agentcontrols,concept:mutualproxyfor,concept:agentcontrols" ] using (walmart, carter_cast)
PRA @960 (100.0%) on 10-nov-2015 [ "Y~_X0~concept:superpartof" "Y~X0~concept:superpartof" "Y~_X0~concept:superpartof,concept:subpartof,concept:superpartof" "Y~X0~concept:controlledbyagent" "Y~X0~concept:agentcontrols,concept:mutualproxyfor,concept:agentcontrols" ] using (carter_cast, walmart)
CPL @1096 (87.5%) on 18-jan-2018 [ "arg2 chief executive arg1" "arg2 president and CEO arg1" "arg2 President and CEO arg1" ] using (walmart, mike_duke)
CPL @1096 (87.5%) on 18-jan-2018 [ "arg2 chief executive arg1" "arg2 president and CEO arg1" "arg2 President and CEO arg1" ] using (mike_duke, walmart)
PRA @960 (100.0%) on 10-nov-2015 [ "Y~X0~concept:controlledbyagent" "Y~X0~concept:agentcontrols" "Y~_X0~concept:agentcontrols" "Y~_X0~concept:controlledbyagent" "Y~X0~concept:superpartof" ] using (walmart, carter_cast)
PRA @960 (100.0%) on 10-nov-2015 [ "Y~X0~concept:controlledbyagent" "Y~X0~concept:agentcontrols" "Y~_X0~concept:agentcontrols" "Y~_X0~concept:controlledbyagent" "Y~X0~concept:superpartof" ] using (carter_cast, walmart)
CPL @1099 (50.0%) on 23-jan-2018 [ "arg1 goes green arg2" ] using (wal_mart, walmart)
PRA @960 (100.0%) on 10-nov-2015 [ "Y~_z-concept:company~specializations,concept:organizationalsoknownas" "Y~_z-concept:company~specializations,concept:synonymfor" "Y~_X0~concept:organizationleadbyagent,concept:agentinteractswithagent,concept:organizationalsoknownas" "Y~_X0~concept:organizationleadbyagent,concept:agentcollaborateswithagent,concept:organizationalsoknownas" "Y~_X0~concept:organizationhasperson,concept:agentinteractswithagent,concept:synonymfor" ] using (wal_mart, walmart)
CPL @1099 (50.0%) on 23-jan-2018 [ "arg1 goes green arg2" ] using (walmart, wal_mart)
PRA @960 (100.0%) on 10-nov-2015 [ "Y~_z-concept:company~specializations,concept:organizationalsoknownas" "Y~_z-concept:company~specializations,concept:synonymfor" "Y~_X0~concept:organizationleadbyagent,concept:agentinteractswithagent,concept:organizationalsoknownas" "Y~_X0~concept:organizationleadbyagent,concept:agentcollaborateswithagent,concept:organizationalsoknownas" "Y~_X0~concept:organizationhasperson,concept:agentinteractswithagent,concept:synonymfor" ] using (walmart, wal_mart)
CPL @1095 (93.8%) on 17-jan-2018 [ "arg2 chief executive arg1" "arg2 president and CEO arg1" "arg2 President and CEO arg1" "arg2 president and chief executive officer arg1" ] using (mike_duke, walmart)
SEAL @560 (50.0%) on 03-may-2012 [ 1 ] using (sam_walton, walmart)
CPL @1095 (93.8%) on 17-jan-2018 [ "arg1 was CEO of arg2" "arg1 the founder of arg2" "arg1 opened the first arg2" "arg1 founder of arg2" ] using (sam_walton, walmart)
PRA @960 (100.0%) on 10-nov-2015 [ "Y~_X0~concept:agentinteractswithagent,concept:worksfor,concept:synonymfor" "Y~_X0~concept:agentcollaborateswithagent,concept:worksfor,concept:synonymfor" "Y~_X0~concept:worker,concept:worksfor,concept:synonymfor" "Y~_X0~concept:agenthierarchicallyaboveagent,concept:worksfor,concept:synonymfor" "Y~_X0~concept:agentcontrols,concept:worksfor,concept:synonymfor" ] using (walmart, wal_mart)
Seed
PRA @960 (100.0%) on 10-nov-2015 [ "Y~_X0~concept:agentinteractswithagent,concept:worksfor,concept:synonymfor" "Y~_X0~concept:agentcollaborateswithagent,concept:worksfor,concept:synonymfor" "Y~_X0~concept:worker,concept:worksfor,concept:synonymfor" "Y~_X0~concept:agenthierarchicallyaboveagent,concept:worksfor,concept:synonymfor" "Y~_X0~concept:agentcontrols,concept:worksfor,concept:synonymfor" ] using (wal_mart, walmart)
CPL @1094 (93.8%) on 01-jan-2018 [ "arg2 chief executive arg1" "arg2 president and CEO arg1" "arg2 President and CEO arg1" "arg2 president and chief executive officer arg1" ] using (mike_duke, walmart)
PRA @960 (100.0%) on 10-nov-2015 [ "Y~_X0~concept:proxyfor" "Y~X0~concept:agentcontrols,concept:relatedto,concept:agenthierarchicallybelowagent" "Y~X0~concept:agentcontrols,concept:relatedto,concept:controlledbyagent" "Y~X0~concept:agentcontrols,concept:relatedto,concept:agentinteractswithagent" "Y~_X0~concept:proxyfor,concept:controlledbyagent,concept:proxyfor" ] using (carter_cast, walmart)
CPL @1095 (93.8%) on 17-jan-2018 [ "arg2 chief executive arg1" "arg2 president and CEO arg1" "arg2 President and CEO arg1" "arg2 president and chief executive officer arg1" ] using (mike_duke, walmart)
PRA @960 (100.0%) on 10-nov-2015 [ "Y~_X0~concept:agentleadsorganization" "Y~_X0~concept:agentrepresentsorganization" "Y~_X0~concept:personleadsorganization" "Y~_X0~concept:proxyfor" "Y~_X0~concept:agentcontrols" ] using (carter_cast, walmart)
CPL @1094 (93.8%) on 01-jan-2018 [ "arg2 chief executive arg1" "arg2 president and CEO arg1" "arg2 President and CEO arg1" "arg2 president and chief executive officer arg1" ] using (mike_duke, walmart)
CPL @1094 (93.8%) on 01-jan-2018 [ "arg2 chief executive arg1" "arg2 president and CEO arg1" "arg2 President and CEO arg1" "arg2 president and chief executive officer arg1" ] using (mike_duke, walmart)
PRA @960 (100.0%) on 10-nov-2015 [ "Y~_X0~concept:personbelongstoorganization" "Y~_z-concept:person~specializations,concept:controlledbyagent" "Y~X0~concept:personbelongstoorganization" "Y~X0~concept:personbelongstoorganization,concept:organizationleadbyperson,concept:personbelongstoorganization" "Y~X0~concept:personbelongstoorganization,concept:organizationleadbyagent,concept:personbelongstoorganization" ] using (carter_cast, walmart)
CPL @1094 (93.8%) on 01-jan-2018 [ "arg2 chief executive arg1" "arg2 president and CEO arg1" "arg2 President and CEO arg1" "arg2 president and chief executive officer arg1" ] using (mike_duke, walmart)
PRA @960 (100.0%) on 10-nov-2015 [ "Y~X0~concept:personleadsorganization,concept:worker,concept:agentleadsorganization" "Y~_X0~concept:agentleadsorganization" "Y~_X0~concept:agentrepresentsorganization" "Y~_X0~concept:personleadsorganization" "Y~_X0~concept:agentcontrols" ] using (carter_cast, walmart)
PRA @960 (100.0%) on 10-nov-2015 [ "Y~_X0~concept:superpartof,concept:worksfor,concept:synonymfor" "Y~_X0~concept:agentinteractswithagent,concept:agentcontrols,concept:synonymfor" "Y~_X0~concept:agentcollaborateswithagent,concept:agentcontrols,concept:synonymfor" "Y~_X0~concept:superpartof,concept:personbelongstoorganization,concept:synonymfor" "Y~_X0~concept:worker,concept:personbelongstoorganization,concept:synonymfor" ] using (wal_mart, walmart)
PRA @960 (100.0%) on 10-nov-2015 [ "Y~_X0~concept:superpartof,concept:worksfor,concept:synonymfor" "Y~_X0~concept:agentinteractswithagent,concept:agentcontrols,concept:synonymfor" "Y~_X0~concept:agentcollaborateswithagent,concept:agentcontrols,concept:synonymfor" "Y~_X0~concept:superpartof,concept:personbelongstoorganization,concept:synonymfor" "Y~_X0~concept:worker,concept:personbelongstoorganization,concept:synonymfor" ] using (walmart, wal_mart)