{"id":"https://openalex.org/W2250934709","doi":"https://doi.org/10.3115/v1/w15-1520","title":"Neural word embeddings with multiplicative feature interactions for tensor-based compositions","display_name":"Neural word embeddings with multiplicative feature interactions for tensor-based compositions","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W2250934709","doi":"https://doi.org/10.3115/v1/w15-1520","mag":"2250934709"},"language":"en","primary_location":{"id":"doi:10.3115/v1/w15-1520","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/w15-1520","pdf_url":"https://www.aclweb.org/anthology/W15-1520.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st Workshop on Vector Space Modeling for Natural Language Processing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/W15-1520.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5039966562","display_name":"Joo-Kyung Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joo-Kyung Kim","raw_affiliation_strings":["Ohio State University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ohio State University","institution_ids":["https://openalex.org/I52357470"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112862689","display_name":"Marie-Catherine de Marneffe","orcid":null},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Marie-Catherine de Marneffe","raw_affiliation_strings":["Department of Linguistics, The Ohio State University, Columbus, OH 43210, USA","Ohio State University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Linguistics, The Ohio State University, Columbus, OH 43210, USA","institution_ids":["https://openalex.org/I52357470"]},{"raw_affiliation_string":"Ohio State University","institution_ids":["https://openalex.org/I52357470"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056667180","display_name":"Eric Fosler\u2010Lussier","orcid":"https://orcid.org/0000-0001-8004-5169"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Eric Fosler-Lussier","raw_affiliation_strings":["Ohio State University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ohio State University","institution_ids":["https://openalex.org/I52357470"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I52357470"],"apc_list":null,"apc_paid":null,"fwci":0.873,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.83397599,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"143","last_page":"150"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9861999750137329,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.9726999998092651,"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/multiplicative-function","display_name":"Multiplicative function","score":0.7427534461021423},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.6890974044799805},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.6477831602096558},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6467363238334656},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5776886940002441},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5467627048492432},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49303576350212097},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.44042131304740906},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3527940511703491},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21943813562393188},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.07789993286132812},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.05573013424873352},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.052109599113464355}],"concepts":[{"id":"https://openalex.org/C42747912","wikidata":"https://www.wikidata.org/wiki/Q1048447","display_name":"Multiplicative function","level":2,"score":0.7427534461021423},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.6890974044799805},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.6477831602096558},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6467363238334656},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5776886940002441},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5467627048492432},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49303576350212097},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.44042131304740906},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3527940511703491},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21943813562393188},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.07789993286132812},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.05573013424873352},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.052109599113464355},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3115/v1/w15-1520","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/w15-1520","pdf_url":"https://www.aclweb.org/anthology/W15-1520.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st Workshop on Vector Space Modeling for Natural Language Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:dial.uclouvain.be:boreal:279169","is_oa":true,"landing_page_url":"http://hdl.handle.net/2078.1/279169","pdf_url":null,"source":{"id":"https://openalex.org/S4306400166","display_name":"Digital Access to Libraries","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2800384882","host_organization_name":"Harris County Public Library","host_organization_lineage":["https://openalex.org/I2800384882"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of NAACL workshop on vector space modeling for NLP,","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"doi:10.3115/v1/w15-1520","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/w15-1520","pdf_url":"https://www.aclweb.org/anthology/W15-1520.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st Workshop on Vector Space Modeling for Natural Language Processing","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2250934709.pdf","grobid_xml":"https://content.openalex.org/works/W2250934709.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W111200235","https://openalex.org/W196214544","https://openalex.org/W1484288670","https://openalex.org/W1549334072","https://openalex.org/W1549789254","https://openalex.org/W1612268991","https://openalex.org/W1614298861","https://openalex.org/W1845242646","https://openalex.org/W1984052055","https://openalex.org/W2003458629","https://openalex.org/W2040370888","https://openalex.org/W2101234009","https://openalex.org/W2106925883","https://openalex.org/W2128970689","https://openalex.org/W2137607259","https://openalex.org/W2153579005","https://openalex.org/W2155870214","https://openalex.org/W2160971205","https://openalex.org/W2166637769","https://openalex.org/W2251939518","https://openalex.org/W2399803916","https://openalex.org/W2403625461","https://openalex.org/W2962813108","https://openalex.org/W2963455036","https://openalex.org/W4294170691","https://openalex.org/W4297684261","https://openalex.org/W4298392952","https://openalex.org/W6675354045"],"related_works":["https://openalex.org/W4318195686","https://openalex.org/W2975999359","https://openalex.org/W4287173569","https://openalex.org/W2796561647","https://openalex.org/W4313513739","https://openalex.org/W3119693376","https://openalex.org/W3182422617","https://openalex.org/W2244208494","https://openalex.org/W4280497496","https://openalex.org/W2594072523"],"abstract_inverted_index":{"Categorical":[0],"compositional":[1,5],"distributional":[2,10],"models":[3,8,11,103],"unify":[4],"formal":[6],"semantic":[7],"and":[9,85],"by":[12],"composing":[13],"phrases":[14],"with":[15,42,133],"tensor-based":[16,23,74,136],"methods":[17,75],"from":[18,34,44,52,100,123],"vector":[19],"representations.":[20],"For":[21],"the":[22,35,53,64,69,73,79,97,113,124],"compositions,":[24],"Milajevs":[25],"et":[26],"al.":[27],"(2014)":[28],"showed":[29],"that":[30],"word":[31,50,65,98],"vectors":[32,51],"obtained":[33],"continuous":[36],"bag-of-words":[37],"(CBOW)":[38],"model":[39,55,127],"are":[40,56],"competitive":[41],"those":[43,122],"co-occurrence":[45],"based":[46],"models.":[47],"However,":[48],"because":[49],"CBOW":[54,102,126],"trained":[57],"assuming":[58],"additive":[59],"interactions":[60],"between":[61,109],"context":[62,89,110],"words,":[63,111],"composition":[66,115],"used":[67,76],"for":[68,77],"training":[70],"mismatches":[71],"to":[72],"evaluating":[78],"actual":[80,114,129],"compositions":[81,132],"including":[82],"pointwise":[83],"multiplication":[84,105,134],"tensor":[86,107],"product":[87,108],"of":[88,131],"vectors.":[90],"In":[91],"this":[92],"work,":[93],"we":[94],"show":[95,118],"whether":[96],"embeddings":[99],"extended":[101],"using":[104],"or":[106,135],"reflecting":[112],"methods,":[116],"can":[117],"better":[119],"performance":[120],"than":[121],"baseline":[125],"in":[128],"tasks":[130],"methods.":[137]},"counts_by_year":[{"year":2018,"cited_by_count":2}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}
