{"id":"https://openalex.org/W2250532017","doi":"https://doi.org/10.1162/tacl_a_00145","title":"Deriving Boolean structures from distributional vectors","display_name":"Deriving Boolean structures from distributional vectors","publication_year":2015,"publication_date":"2015-12-01","ids":{"openalex":"https://openalex.org/W2250532017","doi":"https://doi.org/10.1162/tacl_a_00145","mag":"2250532017"},"language":"en","primary_location":{"id":"doi:10.1162/tacl_a_00145","is_oa":true,"landing_page_url":"https://doi.org/10.1162/tacl_a_00145","pdf_url":"http://www.mitpressjournals.org/doi/pdf/10.1162/tacl_a_00145","source":{"id":"https://openalex.org/S2729999759","display_name":"Transactions of the Association for Computational Linguistics","issn_l":"2307-387X","issn":["2307-387X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Transactions of the Association for Computational Linguistics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"http://www.mitpressjournals.org/doi/pdf/10.1162/tacl_a_00145","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007916691","display_name":"Germ\u00e1n Kruszewski","orcid":null},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"German Kruszewski","raw_affiliation_strings":["Center for Mind/Brain Sciences, University of Trento,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Mind/Brain Sciences, University of Trento,","institution_ids":["https://openalex.org/I193223587"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074570184","display_name":"Denis Paperno","orcid":"https://orcid.org/0000-0002-8889-4066"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Denis Paperno","raw_affiliation_strings":["Center for Mind/Brain Sciences, University of Trento,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Mind/Brain Sciences, University of Trento,","institution_ids":["https://openalex.org/I193223587"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038612405","display_name":"Marco Baroni","orcid":"https://orcid.org/0000-0001-5066-3580"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Marco Baroni","raw_affiliation_strings":["Center for Mind/Brain Sciences, University of Trento,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Mind/Brain Sciences, University of Trento,","institution_ids":["https://openalex.org/I193223587"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5007916691","https://openalex.org/A5038612405","https://openalex.org/A5074570184"],"corresponding_institution_ids":["https://openalex.org/I193223587"],"apc_list":null,"apc_paid":null,"fwci":12.0199,"has_fulltext":true,"cited_by_count":41,"citation_normalized_percentile":{"value":0.98506682,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"3","issue":null,"first_page":"375","last_page":"388"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":1.0,"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/T10028","display_name":"Topic Modeling","score":1.0,"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/T10181","display_name":"Natural Language Processing Techniques","score":1.0,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/computer-science","display_name":"Computer science","score":0.8112753629684448},{"id":"https://openalex.org/keywords/logical-consequence","display_name":"Logical consequence","score":0.7674829363822937},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6555081009864807},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5814699530601501},{"id":"https://openalex.org/keywords/textual-entailment","display_name":"Textual entailment","score":0.5395722389221191},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3485546112060547}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8112753629684448},{"id":"https://openalex.org/C134752490","wikidata":"https://www.wikidata.org/wiki/Q374182","display_name":"Logical consequence","level":2,"score":0.7674829363822937},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6555081009864807},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5814699530601501},{"id":"https://openalex.org/C95318506","wikidata":"https://www.wikidata.org/wiki/Q6588467","display_name":"Textual entailment","level":3,"score":0.5395722389221191},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3485546112060547}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1162/tacl_a_00145","is_oa":true,"landing_page_url":"https://doi.org/10.1162/tacl_a_00145","pdf_url":"http://www.mitpressjournals.org/doi/pdf/10.1162/tacl_a_00145","source":{"id":"https://openalex.org/S2729999759","display_name":"Transactions of the Association for Computational Linguistics","issn_l":"2307-387X","issn":["2307-387X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Transactions of the Association for Computational Linguistics","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:950378c3e3bc4e84adee26c5b2a71b05","is_oa":false,"landing_page_url":"https://doaj.org/article/950378c3e3bc4e84adee26c5b2a71b05","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,"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":"Transactions of the Association for Computational Linguistics, Vol 3 (2021)","raw_type":"article"},{"id":"pmh:oai:iris.unitn.it:11572/107895","is_oa":true,"landing_page_url":"http://hdl.handle.net/11572/107895","pdf_url":null,"source":{"id":"https://openalex.org/S4306401913","display_name":"Institutional Research Information System (Universit\u00e0 degli Studi di Trento)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I193223587","host_organization_name":"University of Trento","host_organization_lineage":["https://openalex.org/I193223587"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1162/tacl_a_00145","is_oa":true,"landing_page_url":"https://doi.org/10.1162/tacl_a_00145","pdf_url":"http://www.mitpressjournals.org/doi/pdf/10.1162/tacl_a_00145","source":{"id":"https://openalex.org/S2729999759","display_name":"Transactions of the Association for Computational Linguistics","issn_l":"2307-387X","issn":["2307-387X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Transactions of the Association for Computational Linguistics","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.7900000214576721,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2250532017.pdf","grobid_xml":"https://content.openalex.org/works/W2250532017.grobid-xml"},"referenced_works_count":54,"referenced_works":["https://openalex.org/W36434594","https://openalex.org/W97201605","https://openalex.org/W141602984","https://openalex.org/W205765513","https://openalex.org/W1481714151","https://openalex.org/W1516501661","https://openalex.org/W1563088657","https://openalex.org/W1583820951","https://openalex.org/W1593045043","https://openalex.org/W1596986901","https://openalex.org/W1652981786","https://openalex.org/W1662133657","https://openalex.org/W1884290075","https://openalex.org/W1966907789","https://openalex.org/W1974991592","https://openalex.org/W1983578042","https://openalex.org/W1984052055","https://openalex.org/W2007709031","https://openalex.org/W2038721957","https://openalex.org/W2038976544","https://openalex.org/W2076784334","https://openalex.org/W2084077871","https://openalex.org/W2101802482","https://openalex.org/W2112576450","https://openalex.org/W2118707092","https://openalex.org/W2122702954","https://openalex.org/W2127002961","https://openalex.org/W2127426251","https://openalex.org/W2128870637","https://openalex.org/W2131253837","https://openalex.org/W2133413932","https://openalex.org/W2135964261","https://openalex.org/W2139991138","https://openalex.org/W2164209506","https://openalex.org/W2185175083","https://openalex.org/W2193700427","https://openalex.org/W2200913422","https://openalex.org/W2250275510","https://openalex.org/W2250379126","https://openalex.org/W2250676463","https://openalex.org/W2250790822","https://openalex.org/W2250841392","https://openalex.org/W2251331208","https://openalex.org/W2251803266","https://openalex.org/W2251869843","https://openalex.org/W2251981022","https://openalex.org/W2252218513","https://openalex.org/W2296268288","https://openalex.org/W2473539527","https://openalex.org/W2950577311","https://openalex.org/W2962813108","https://openalex.org/W3099386342","https://openalex.org/W3105971000","https://openalex.org/W4213158633"],"related_works":["https://openalex.org/W2118335617","https://openalex.org/W2296063830","https://openalex.org/W2053800966","https://openalex.org/W1997269821","https://openalex.org/W1987976971","https://openalex.org/W2795227599","https://openalex.org/W192785878","https://openalex.org/W2911667057","https://openalex.org/W131127834","https://openalex.org/W187730917"],"abstract_inverted_index":{"Corpus-based":[0],"distributional":[1,53],"semantic":[2,7],"models":[3],"capture":[4],"degrees":[5],"of":[6,12,44,55,63],"relatedness":[8],"among":[9],"the":[10,42,45,64],"words":[11,56,87],"very":[13],"large":[14],"vocabularies,":[15],"but":[16],"have":[17],"problems":[18],"with":[19],"logical":[20],"phenomena":[21],"such":[22],"as":[23],"entailment,":[24],"that":[25],"are":[26,71,106],"instead":[27],"elegantly":[28],"handled":[29],"by":[30,48],"model-theoretic":[31],"approaches,":[32],"which,":[33],"in":[34,66],"turn,":[35],"do":[36],"not":[37],"scale":[38],"up.":[39],"We":[40,75],"combine":[41],"advantages":[43],"two":[46],"views":[47],"inducing":[49],"a":[50,60,96],"mapping":[51],"from":[52],"vectors":[54],"(or":[57],"sentences)":[58],"into":[59],"Boolean":[61,78],"structure":[62],"kind":[65],"which":[67],"natural":[68],"language":[69],"terms":[70],"assumed":[72],"to":[73,95],"denote.":[74],"evaluate":[76],"this":[77],"Distributional":[79],"Semantic":[80],"Model":[81],"(BDSM)":[82],"on":[83],"recognizing":[84],"entailment":[85],"between":[86],"and":[88,108],"sentences.":[89],"The":[90],"method":[91],"achieves":[92],"results":[93],"comparable":[94],"state-of-the-art":[97],"SVM,":[98],"degrades":[99],"more":[100],"gracefully":[101],"when":[102],"less":[103],"training":[104],"data":[105],"available":[107],"displays":[109],"interesting":[110],"qualitative":[111],"properties.":[112]},"counts_by_year":[{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":12},{"year":2015,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
