{"id":"https://openalex.org/W2963869850","doi":"https://doi.org/10.1162/coli_a_00266","title":"Representing Meaning with a Combination of Logical and Distributional Models","display_name":"Representing Meaning with a Combination of Logical and Distributional Models","publication_year":2016,"publication_date":"2016-09-28","ids":{"openalex":"https://openalex.org/W2963869850","doi":"https://doi.org/10.1162/coli_a_00266","mag":"2963869850"},"language":"en","primary_location":{"id":"doi:10.1162/coli_a_00266","doi":"https://doi.org/10.1162/coli_a_00266","is_oa":true,"landing_page_url":"https://doi.org/10.1162/coli_a_00266","pdf_url":"https://www.mitpressjournals.org/doi/pdf/10.1162/COLI_a_00266","source":{"id":"https://openalex.org/S155526855","display_name":"Computational Linguistics","issn_l":"0891-2017","issn":["0891-2017","1530-9312"],"is_oa":false,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","ccf-b","cwts-core","doaj","dongbi-b","doyens","erih-plus","jufo-3","norway-2","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320244","host_organization_name":"Association for Computational Linguistics","host_organization_lineage":["https://openalex.org/P4310320244"],"host_organization_lineage_names":["Association for Computational Linguistics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Linguistics","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["arxiv","crossref","datacite","doaj"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://www.mitpressjournals.org/doi/pdf/10.1162/COLI_a_00266","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5059172050","display_name":"Islam Beltagy","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"I. Beltagy","raw_affiliation_strings":["The University of Texas at Austin","Computer Science Department, The University of Texas at Austin","Linguistics Department, The University of Texas at Austin"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Texas at Austin","institution_ids":["https://openalex.org/I86519309"]},{"raw_affiliation_string":"Computer Science Department, The University of Texas at Austin","institution_ids":["https://openalex.org/I86519309"]},{"raw_affiliation_string":"Linguistics Department, The University of Texas at Austin","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108644922","display_name":"Stephen Roller","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Stephen Roller","raw_affiliation_strings":["The University of Texas at Austin","Computer Science Department, The University of Texas at Austin","Linguistics Department, The University of Texas at Austin"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Texas at Austin","institution_ids":["https://openalex.org/I86519309"]},{"raw_affiliation_string":"Computer Science Department, The University of Texas at Austin","institution_ids":["https://openalex.org/I86519309"]},{"raw_affiliation_string":"Linguistics Department, The University of Texas at Austin","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088553265","display_name":"Pengxiang Cheng","orcid":"https://orcid.org/0000-0001-5997-705X","observed_orcids":["https://orcid.org/0000-0001-5997-705X","https://orcid.org/0000-0002-9762-5159","https://orcid.org/0009-0007-4140-7682"]},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pengxiang Cheng","raw_affiliation_strings":["The University of Texas at Austin","Computer Science Department, The University of Texas at Austin","Linguistics Department, The University of Texas at Austin"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Texas at Austin","institution_ids":["https://openalex.org/I86519309"]},{"raw_affiliation_string":"Computer Science Department, The University of Texas at Austin","institution_ids":["https://openalex.org/I86519309"]},{"raw_affiliation_string":"Linguistics Department, The University of Texas at Austin","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067235438","display_name":"Katrin Erk","orcid":"https://orcid.org/0000-0002-2888-6961","observed_orcids":["https://orcid.org/0000-0002-2888-6961"]},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Katrin Erk","raw_affiliation_strings":["The University of Texas at Austin","Computer Science Department, The University of Texas at Austin","Linguistics Department, The University of Texas at Austin"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Texas at Austin","institution_ids":["https://openalex.org/I86519309"]},{"raw_affiliation_string":"Computer Science Department, The University of Texas at Austin","institution_ids":["https://openalex.org/I86519309"]},{"raw_affiliation_string":"Linguistics Department, The University of Texas at Austin","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008715111","display_name":"Raymond J. Mooney","orcid":"https://orcid.org/0000-0002-4504-0490","observed_orcids":["https://orcid.org/0000-0002-4504-0490"]},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Raymond J. Mooney","raw_affiliation_strings":["The University of Texas at Austin","Computer Science Department, The University of Texas at Austin","Linguistics Department, The University of Texas at Austin"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Texas at Austin","institution_ids":["https://openalex.org/I86519309"]},{"raw_affiliation_string":"Computer Science Department, The University of Texas at Austin","institution_ids":["https://openalex.org/I86519309"]},{"raw_affiliation_string":"Linguistics Department, The University of Texas at Austin","institution_ids":["https://openalex.org/I86519309"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I86519309"],"apc_list":null,"apc_paid":null,"fwci":12.6063,"has_fulltext":true,"cited_by_count":80,"citation_normalized_percentile":{"value":0.98901366,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":100},"biblio":{"volume":"42","issue":"4","first_page":"763","last_page":"808"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.6044999957084656,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.6044999957084656,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.2142000049352646,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11010","display_name":"Logic, Reasoning, and Knowledge","score":0.11779999732971191,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/markov-logic-networks","display_name":"Markov logic networks","score":0.9110000133514404},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"probabilistic logic","score":0.9449999928474426},{"id":"https://openalex.org/keywords/natural-language-inference","display_name":"natural language inference","score":0.8460000157356262},{"id":"https://openalex.org/keywords/lexical-entailment","display_name":"lexical entailment","score":0.875},{"id":"https://openalex.org/keywords/knowledge-base-construction","display_name":"knowledge base construction","score":0.8479999899864197},{"id":"https://openalex.org/keywords/distributional-semantics","display_name":"distributional semantics","score":0.6299999952316284},{"id":"https://openalex.org/keywords/probabilistic-inference","display_name":"probabilistic inference","score":0.5950000286102295}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7449115514755249},{"id":"https://openalex.org/C134752490","wikidata":"https://www.wikidata.org/wiki/Q374182","display_name":"Logical consequence","level":2,"score":0.716726541519165},{"id":"https://openalex.org/C95318506","wikidata":"https://www.wikidata.org/wiki/Q6588467","display_name":"Textual entailment","level":3,"score":0.7110422849655151},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6556144952774048},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6052457094192505},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5939832925796509},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5816899538040161},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.5241649150848389},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4966736435890198},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4893903136253357},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4832523465156555},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.43963292241096497},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.4329676330089569},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.11664643883705139},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1162/coli_a_00266","doi":"https://doi.org/10.1162/coli_a_00266","is_oa":true,"landing_page_url":"https://doi.org/10.1162/coli_a_00266","pdf_url":"https://www.mitpressjournals.org/doi/pdf/10.1162/COLI_a_00266","source":{"id":"https://openalex.org/S155526855","display_name":"Computational Linguistics","issn_l":"0891-2017","issn":["0891-2017","1530-9312"],"is_oa":false,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","ccf-b","cwts-core","doaj","dongbi-b","doyens","erih-plus","jufo-3","norway-2","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320244","host_organization_name":"Association for Computational Linguistics","host_organization_lineage":["https://openalex.org/P4310320244"],"host_organization_lineage_names":["Association for Computational Linguistics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Linguistics","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1505.06816","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1505.06816","pdf_url":"https://arxiv.org/pdf/1505.06816","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:2105946482","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1505.06816v3","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"pmh:oai:doaj.org/article:c08c02d287e04cab89e097696e5e85e2","doi":null,"is_oa":false,"landing_page_url":"https://doaj.org/article/c08c02d287e04cab89e097696e5e85e2","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Computational Linguistics, Vol 42, Iss 4 (2022)","raw_type":"article"},{"id":"doi:10.48550/arxiv.1505.06816","doi":"https://doi.org/10.48550/arxiv.1505.06816","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1505.06816","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.1162/coli_a_00266","doi":"https://doi.org/10.1162/coli_a_00266","is_oa":true,"landing_page_url":"https://doi.org/10.1162/coli_a_00266","pdf_url":"https://www.mitpressjournals.org/doi/pdf/10.1162/COLI_a_00266","source":{"id":"https://openalex.org/S155526855","display_name":"Computational Linguistics","issn_l":"0891-2017","issn":["0891-2017","1530-9312"],"is_oa":false,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","ccf-b","cwts-core","doaj","dongbi-b","doyens","erih-plus","jufo-3","norway-2","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320244","host_organization_name":"Association for Computational Linguistics","host_organization_lineage":["https://openalex.org/P4310320244"],"host_organization_lineage_names":["Association for Computational Linguistics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Linguistics","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G2348701354","display_name":"CAREER: Word Meaning: Beyond Dictionary Senses","funder_award_id":"0845925","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G2651498353","display_name":null,"funder_award_id":"FA8750-13-2-0026","funder_id":"https://openalex.org/F4320332180","funder_display_name":"Defense Advanced Research Projects Agency"},{"id":"https://openalex.org/G4713059963","display_name":null,"funder_award_id":"FA8750","funder_id":"https://openalex.org/F4320332180","funder_display_name":"Defense Advanced Research Projects Agency"},{"id":"https://openalex.org/G5532095396","display_name":"RI:  Mastodon: A Large-Memory, High-Throughput Simulation Infrastructure","funder_award_id":"0303609","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6528073139","display_name":"RI: Small: Deep Natural Language Understanding with Probabilistic Logic and Distributional Similarity","funder_award_id":"1523637","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6671297155","display_name":null,"funder_award_id":"CAREER","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320310620","display_name":"University of Texas at Austin","ror":"https://ror.org/00hj54h04"},{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"},{"id":"https://openalex.org/F4320338294","display_name":"Air Force Research Laboratory","ror":"https://ror.org/02e2egq70"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2963869850.pdf","grobid_xml":"https://content.openalex.org/works/W2963869850.grobid-xml"},"referenced_works_count":106,"referenced_works":["https://openalex.org/W3753517","https://openalex.org/W120810363","https://openalex.org/W123527740","https://openalex.org/W125545343","https://openalex.org/W141602984","https://openalex.org/W187614860","https://openalex.org/W205765513","https://openalex.org/W224572144","https://openalex.org/W1491947308","https://openalex.org/W1510929985","https://openalex.org/W1516501661","https://openalex.org/W1519238856","https://openalex.org/W1521626219","https://openalex.org/W1529072446","https://openalex.org/W1544827683","https://openalex.org/W1583820951","https://openalex.org/W1585529040","https://openalex.org/W1608322251","https://openalex.org/W1614298861","https://openalex.org/W1662133657","https://openalex.org/W1758600199","https://openalex.org/W1860880244","https://openalex.org/W1884290075","https://openalex.org/W1954216965","https://openalex.org/W1958547877","https://openalex.org/W1966907789","https://openalex.org/W1973942085","https://openalex.org/W1977970897","https://openalex.org/W1981617416","https://openalex.org/W1983578042","https://openalex.org/W1984052055","https://openalex.org/W1986423506","https://openalex.org/W1992967856","https://openalex.org/W2011623898","https://openalex.org/W2012170877","https://openalex.org/W2033194278","https://openalex.org/W2035597127","https://openalex.org/W2036931463","https://openalex.org/W2038037963","https://openalex.org/W2041250129","https://openalex.org/W2060301741","https://openalex.org/W2062196307","https://openalex.org/W2063981788","https://openalex.org/W2087451659","https://openalex.org/W2100738443","https://openalex.org/W2102233204","https://openalex.org/W2106848050","https://openalex.org/W2109797017","https://openalex.org/W2110119381","https://openalex.org/W2110616675","https://openalex.org/W2112576450","https://openalex.org/W2122702954","https://openalex.org/W2128870637","https://openalex.org/W2130337399","https://openalex.org/W2131253837","https://openalex.org/W2133413932","https://openalex.org/W2135964261","https://openalex.org/W2137607259","https://openalex.org/W2137735870","https://openalex.org/W2141599568","https://openalex.org/W2143252279","https://openalex.org/W2143497125","https://openalex.org/W2144108169","https://openalex.org/W2149660837","https://openalex.org/W2152084932","https://openalex.org/W2153635508","https://openalex.org/W2154474435","https://openalex.org/W2154524383","https://openalex.org/W2155484602","https://openalex.org/W2159080219","https://openalex.org/W2161002933","https://openalex.org/W2162723805","https://openalex.org/W2163274265","https://openalex.org/W2168565044","https://openalex.org/W2186082173","https://openalex.org/W2200913422","https://openalex.org/W2250275510","https://openalex.org/W2250453281","https://openalex.org/W2250529390","https://openalex.org/W2250532017","https://openalex.org/W2250606819","https://openalex.org/W2250748818","https://openalex.org/W2250790822","https://openalex.org/W2250944176","https://openalex.org/W2251044566","https://openalex.org/W2251466862","https://openalex.org/W2251673953","https://openalex.org/W2251676919","https://openalex.org/W2251772312","https://openalex.org/W2251869843","https://openalex.org/W2251919380","https://openalex.org/W2251970440","https://openalex.org/W2252136820","https://openalex.org/W2252222520","https://openalex.org/W2296076036","https://openalex.org/W2345905986","https://openalex.org/W2950726992","https://openalex.org/W2952064673","https://openalex.org/W2962813108","https://openalex.org/W2963527058","https://openalex.org/W2963899988","https://openalex.org/W3145016028","https://openalex.org/W4211148418","https://openalex.org/W4234216897","https://openalex.org/W4252757565","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2105946482","https://openalex.org/W2165646510","https://openalex.org/W1924229470","https://openalex.org/W2112576450","https://openalex.org/W2143252279","https://openalex.org/W2250379126","https://openalex.org/W2164209506","https://openalex.org/W7115422235","https://openalex.org/W2108530510","https://openalex.org/W2122702954"],"abstract_inverted_index":{"NLP":[0],"tasks":[1],"differ":[2],"in":[3,50,106],"the":[4,29,51,63,91,103,130,142,150,163,185],"semantic":[5,15],"information":[6,120],"they":[7],"require,":[8],"and":[9,42,75,124,155],"at":[10],"this":[11,86],"time":[12],"no":[13],"single":[14],"representation":[16,99],"fulfills":[17],"all":[18],"requirements.":[19],"Logic-based":[20],"representations":[21],"characterize":[22],"sentence":[23,48],"structure,":[24],"but":[25,44],"do":[26,45],"not":[27,46],"capture":[28,47],"graded":[30,37],"aspect":[31],"of":[32,94,144,152,180],"meaning.":[33],"Distributional":[34],"models":[35],"give":[36],"similarity":[38],"ratings":[39],"for":[40,194],"words":[41],"phrases,":[43],"structure":[49],"same":[52],"detail":[53],"as":[54],"logic-based":[55,154],"approaches.":[56],"It":[57],"has":[58],"therefore":[59],"been":[60],"argued":[61],"that":[62,72],"two":[64],"are":[65],"complementary.":[66],"We":[67,172],"adopt":[68],"a":[69,95,175,191],"hybrid":[70],"approach":[71],"combines":[73],"logical":[74],"distributional":[76,119,156],"semantics":[77],"using":[78],"probabilistic":[79,107,126],"logic,":[80],"specifically":[81],"Markov":[82],"Logic":[83],"Networks.":[84],"In":[85,158],"article,":[87],"we":[88,140,160,168],"focus":[89,161],"on":[90,101,162],"three":[92],"components":[93],"practical":[96],"system:11)":[97],"Logical":[98],"focuses":[100],"representing":[102],"input":[104],"problems":[105,134],"logic;":[108],"2)":[109],"knowledge":[110],"base":[111],"construction":[112],"creates":[113],"weighted":[114],"inference":[115,127,133],"rules":[116,182],"by":[117],"integrating":[118],"with":[121],"other":[122],"sources;":[123],"3)":[125],"involves":[128],"solving":[129],"resulting":[131],"MLN":[132],"efficiently.":[135],"To":[136],"evaluate":[137],"our":[138],"approach,":[139],"use":[141],"task":[143],"textual":[145],"entailment,":[146],"which":[147,189],"can":[148],"utilize":[149],"strengths":[151],"both":[153],"representations.":[157],"particular":[159],"SICK":[164,186],"data":[165,178,187],"set,":[166,188],"where":[167],"achieve":[169],"state-of-the-art":[170],"results.":[171],"also":[173],"release":[174],"lexical":[176,196],"entailment":[177,197],"set":[179],"10,213":[181],"extracted":[183],"from":[184],"is":[190],"valuable":[192],"resource":[193],"evaluating":[195],"systems.2":[198]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":11},{"year":2019,"cited_by_count":22},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":20},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":2}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2019-07-30T00:00:00"}
