{"id":"https://openalex.org/W2250275510","doi":"https://doi.org/10.3115/v1/p14-1009","title":"A practical and linguistically-motivated approach to compositional distributional semantics","display_name":"A practical and linguistically-motivated approach to compositional distributional semantics","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2250275510","doi":"https://doi.org/10.3115/v1/p14-1009","mag":"2250275510"},"language":"en","primary_location":{"id":"doi:10.3115/v1/p14-1009","is_oa":true,"landing_page_url":"http://doi.org/10.3115/v1/p14-1009","pdf_url":"https://doi.org/10.3115/v1/p14-1009","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.3115/v1/p14-1009","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5074570184","display_name":"Denis Paperno","orcid":"https://orcid.org/0000-0002-8889-4066"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Denis Paperno","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002238661","display_name":"Nghia The Pham","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nghia The Pham","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5038612405","display_name":"Marco Baroni","orcid":"https://orcid.org/0000-0001-5066-3580"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Marco Baroni","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":16.0706,"has_fulltext":false,"cited_by_count":64,"citation_normalized_percentile":{"value":0.99141503,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"90","last_page":"99"},"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/T12031","display_name":"Speech and dialogue systems","score":0.9950000047683716,"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/distributional-semantics","display_name":"Distributional semantics","score":0.8540811538696289},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6911371350288391},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.6587148904800415},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5904951095581055},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.5888856649398804},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5882928371429443},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5592818260192871},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5304486155509949},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.49858880043029785},{"id":"https://openalex.org/keywords/principle-of-compositionality","display_name":"Principle of compositionality","score":0.4607582688331604},{"id":"https://openalex.org/keywords/meaning","display_name":"Meaning (existential)","score":0.4497239589691162},{"id":"https://openalex.org/keywords/extension","display_name":"Extension (predicate logic)","score":0.41414064168930054},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.2788618803024292},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.23625046014785767},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.0735948383808136},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.07206836342811584}],"concepts":[{"id":"https://openalex.org/C2778828372","wikidata":"https://www.wikidata.org/wiki/Q5283209","display_name":"Distributional semantics","level":3,"score":0.8540811538696289},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6911371350288391},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.6587148904800415},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5904951095581055},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.5888856649398804},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5882928371429443},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5592818260192871},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5304486155509949},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.49858880043029785},{"id":"https://openalex.org/C121375916","wikidata":"https://www.wikidata.org/wiki/Q936559","display_name":"Principle of compositionality","level":2,"score":0.4607582688331604},{"id":"https://openalex.org/C2780876879","wikidata":"https://www.wikidata.org/wiki/Q3054749","display_name":"Meaning (existential)","level":2,"score":0.4497239589691162},{"id":"https://openalex.org/C2778029271","wikidata":"https://www.wikidata.org/wiki/Q5421931","display_name":"Extension (predicate logic)","level":2,"score":0.41414064168930054},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.2788618803024292},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.23625046014785767},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0735948383808136},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.07206836342811584},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3115/v1/p14-1009","is_oa":true,"landing_page_url":"http://doi.org/10.3115/v1/p14-1009","pdf_url":"https://doi.org/10.3115/v1/p14-1009","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.3115/v1/p14-1009","is_oa":true,"landing_page_url":"http://doi.org/10.3115/v1/p14-1009","pdf_url":"https://doi.org/10.3115/v1/p14-1009","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.5,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W16329575","https://openalex.org/W97201605","https://openalex.org/W618279829","https://openalex.org/W1484288670","https://openalex.org/W1530392788","https://openalex.org/W1608322251","https://openalex.org/W1662133657","https://openalex.org/W1715304901","https://openalex.org/W1748393397","https://openalex.org/W1845242646","https://openalex.org/W1889268436","https://openalex.org/W1969245183","https://openalex.org/W1983578042","https://openalex.org/W1984052055","https://openalex.org/W2100693535","https://openalex.org/W2103305545","https://openalex.org/W2137607259","https://openalex.org/W2152180407","https://openalex.org/W2200913422","https://openalex.org/W2250536421","https://openalex.org/W2251291469","https://openalex.org/W2251466862","https://openalex.org/W2251471769","https://openalex.org/W2251861449","https://openalex.org/W2962813108","https://openalex.org/W2962956871"],"related_works":["https://openalex.org/W1715304901","https://openalex.org/W2912764446","https://openalex.org/W2784926331","https://openalex.org/W84019336","https://openalex.org/W2170770969","https://openalex.org/W1847856012","https://openalex.org/W2572858686","https://openalex.org/W2963364736","https://openalex.org/W2808113865","https://openalex.org/W1583123819"],"abstract_inverted_index":{"Distributional":[0],"semantic":[1,57],"methods":[2],"to":[3,29,82],"approximate":[4],"word":[5],"meaning":[6],"with":[7],"context":[8],"vectors":[9,122],"have":[10,19,73],"been":[11],"very":[12],"successful":[13],"empirically,":[14],"and":[15,31,47,49],"the":[16,54,75,78,88,113],"last":[17,114],"years":[18],"seen":[20],"a":[21,36,68,91,101],"surge":[22],"of":[23,42,59,70,77,93,103,112],"interest":[24],"in":[25,61],"their":[26],"compositional":[27],"extension":[28],"phrases":[30],"sentences.":[32,85],"We":[33,86],"present":[34],"here":[35],"new":[37],"model":[38,89],"that,":[39],"like":[40],"those":[41],"Coecke":[43],"et":[44],"al.":[45],"(2010)":[46],"Baroni":[48],"Zamparelli":[50],"(2010),":[51],"closely":[52],"mimics":[53],"standard":[55],"Montagovian":[56],"treatment":[58],"composition":[60],"distributional":[62,108,121],"terms.":[63],"However,":[64],"our":[65],"approach":[66],"avoids":[67],"number":[69],"issues":[71],"that":[72,97,120],"prevented":[74],"application":[76],"earlier":[79],"linguistically-motivated":[80],"models":[81],"full-fledged,":[83],"real-life":[84],"test":[87],"on":[90],"variety":[92],"empirical":[94],"tasks,":[95],"showing":[96],"it":[98],"consistently":[99],"outperforms":[100],"set":[102],"competitive":[104],"rivals.":[105],"1":[106],"Compositional":[107],"semantics":[109],"The":[110],"research":[111],"two":[115],"decades":[116],"has":[117],"established":[118],"empirically":[119],"for":[123],"words":[124],"obtained":[125],"from":[126],"corpus":[127],"statistics":[128],"can":[129],"be":[130],"used":[131]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":10},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":13},{"year":2015,"cited_by_count":16},{"year":2014,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}