乐胖代购免代理版

{"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":{"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},"type":"article","type_crossref":"proceedings-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","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"],"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":["Ohio State University"],"affiliations":[{"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"],"affiliations":[{"raw_affiliation_string":"Ohio State University","institution_ids":["https://openalex.org/I52357470"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.134,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":1,"citation_normalized_percentile":{"value":0.188539,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":66,"max":73},"biblio":{"volume":null,"issue":null,"first_page":"143","last_page":"150"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9995,"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":0.9995,"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":0.9862,"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":0.9727,"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/feature","display_name":"Feature (linguistics)","score":0.5776887}],"concepts":[{"id":"https://openalex.org/C42747912","wikidata":"https://www.wikidata.org/wiki/Q1048447","display_name":"Multiplicative function","level":2,"score":0.74275345},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.6890974},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.64778316},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6467363},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5776887},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5467627},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49303576},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4404213},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.35279405},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21943814},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.07789993},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.055730134},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0521096},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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":[{"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}],"best_oa_location":{"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},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":26,"referenced_works":["https://openalex.org/W111200235","https://openalex.org/W1484288670","https://openalex.org/W1549789254","https://openalex.org/W1612268991","https://openalex.org/W1614298861","https://openalex.org/W1845242646","https://openalex.org/W196214544","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"],"related_works":["https://openalex.org/W4318195686","https://openalex.org/W4313513739","https://openalex.org/W4287173569","https://openalex.org/W4280497496","https://openalex.org/W3182422617","https://openalex.org/W3119693376","https://openalex.org/W2975999359","https://openalex.org/W2796561647","https://openalex.org/W2594072523","https://openalex.org/W2244208494"],"abstract_inverted_index":{"Categorical":[0],"compositional":[1,5],"distributional":[2,10],"models":[3,8,11,100],"unify":[4],"formal":[6],"semantic":[7],"and":[9,83],"by":[12],"composing":[13],"phrases":[14],"with":[15,41,130],"tensor-based":[16,22,72,133],"methods":[17,73],"from":[18,33,43,50,97,120],"vector":[19],"representations.For":[20],"the":[21,34,51,62,67,71,77,94,110,121],"compositions,":[23],"Milajevs":[24],"et":[25],"al.":[26],"(2014)":[27],"showed":[28],"that":[29],"word":[30,48,63,95],"vectors":[31,49],"obtained":[32],"continuous":[35],"bag-of-words":[36],"(CBOW)":[37],"model":[38,53,124],"are":[39,54],"competitive":[40],"those":[42,119],"co-occurrence":[44],"based":[45],"models.However,":[46],"because":[47],"CBOW":[52,99,123],"trained":[55],"assuming":[56],"additive":[57],"interactions":[58],"between":[59,106],"context":[60,87,107],"words,":[61,108],"composition":[64,112],"used":[65,74],"for":[66,75],"training":[68],"mismatches":[69],"to":[70],"evaluating":[76],"actual":[78,111,126],"compositions":[79,129],"including":[80],"pointwise":[81],"multiplication":[82,102,131],"tensor":[84,104],"product":[85,105],"of":[86,128],"vectors.In":[88],"this":[89],"work,":[90],"we":[91],"show":[92,115],"whether":[93],"embeddings":[96],"extended":[98],"using":[101],"or":[103,132],"reflecting":[109],"methods,":[113],"can":[114],"better":[116],"performance":[117],"than":[118],"baseline":[122],"in":[125],"tasks":[127],"methods.":[134]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2250934709","counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2025-01-19T16:02:41.223814","created_date":"2016-06-24"}