{"id":"https://openalex.org/W2760314189","doi":"https://doi.org/10.18653/v1/d17-1124","title":"Idiom-Aware Compositional Distributed Semantics","display_name":"Idiom-Aware Compositional Distributed Semantics","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2760314189","doi":"https://doi.org/10.18653/v1/d17-1124","mag":"2760314189"},"language":"en","primary_location":{"id":"doi:10.18653/v1/d17-1124","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d17-1124","pdf_url":"https://www.aclweb.org/anthology/D17-1124.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 2017 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/D17-1124.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100355025","display_name":"Pengfei Liu","orcid":"https://orcid.org/0009-0008-6932-7091"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengfei Liu","raw_affiliation_strings":["Shanghai Key Laboratory of Intelligent Information Processing, Fudan University School of Computer Science, Fudan University 825 Zhangheng Road, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Key Laboratory of Intelligent Information Processing, Fudan University School of Computer Science, Fudan University 825 Zhangheng Road, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003746108","display_name":"Kaiyu Qian","orcid":"https://orcid.org/0000-0003-4153-1265"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaiyu Qian","raw_affiliation_strings":["Shanghai Key Laboratory of Intelligent Information Processing, Fudan University School of Computer Science, Fudan University 825 Zhangheng Road, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Key Laboratory of Intelligent Information Processing, Fudan University School of Computer Science, Fudan University 825 Zhangheng Road, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044665993","display_name":"Xipeng Qiu","orcid":"https://orcid.org/0000-0001-7163-5247"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xipeng Qiu","raw_affiliation_strings":["Shanghai Key Laboratory of Intelligent Information Processing, Fudan University School of Computer Science, Fudan University 825 Zhangheng Road, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Key Laboratory of Intelligent Information Processing, Fudan University School of Computer Science, Fudan University 825 Zhangheng Road, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088834359","display_name":"Xuanjing Huang","orcid":"https://orcid.org/0000-0001-9197-9426"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuanjing Huang","raw_affiliation_strings":["Shanghai Key Laboratory of Intelligent Information Processing, Fudan University School of Computer Science, Fudan University 825 Zhangheng Road, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Key Laboratory of Intelligent Information Processing, Fudan University School of Computer Science, Fudan University 825 Zhangheng Road, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I24943067"],"apc_list":null,"apc_paid":null,"fwci":1.2459,"has_fulltext":true,"cited_by_count":18,"citation_normalized_percentile":{"value":0.84989938,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1204","last_page":"1213"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9997000098228455,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9997000098228455,"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":0.9994000196456909,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9986000061035156,"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/principle-of-compositionality","display_name":"Principle of compositionality","score":0.8827849626541138},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.82091224193573},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.7207467555999756},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.6777917146682739},{"id":"https://openalex.org/keywords/phrase","display_name":"Phrase","score":0.677117109298706},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6111685037612915},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.5722554922103882},{"id":"https://openalex.org/keywords/literal","display_name":"Literal (mathematical logic)","score":0.49448728561401367},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4552927315235138},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.4349970519542694},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.38882312178611755},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.1098681092262268}],"concepts":[{"id":"https://openalex.org/C121375916","wikidata":"https://www.wikidata.org/wiki/Q936559","display_name":"Principle of compositionality","level":2,"score":0.8827849626541138},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.82091224193573},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.7207467555999756},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.6777917146682739},{"id":"https://openalex.org/C2776224158","wikidata":"https://www.wikidata.org/wiki/Q187931","display_name":"Phrase","level":2,"score":0.677117109298706},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6111685037612915},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.5722554922103882},{"id":"https://openalex.org/C2780882242","wikidata":"https://www.wikidata.org/wiki/Q14235582","display_name":"Literal (mathematical logic)","level":2,"score":0.49448728561401367},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4552927315235138},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.4349970519542694},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.38882312178611755},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.1098681092262268},{"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/d17-1124","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d17-1124","pdf_url":"https://www.aclweb.org/anthology/D17-1124.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 2017 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/d17-1124","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d17-1124","pdf_url":"https://www.aclweb.org/anthology/D17-1124.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 2017 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.7900000214576721,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G3892115987","display_name":null,"funder_award_id":"61532011","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4666185321","display_name":null,"funder_award_id":"16JC1420401","funder_id":"https://openalex.org/F4320321885","funder_display_name":"Science and Technology Commission of Shanghai Municipality"},{"id":"https://openalex.org/G5350058215","display_name":null,"funder_award_id":"2015QNRC001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6564481282","display_name":"\u57fa\u4e8e\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\u7684\u7aef\u5230\u7aef\u81ea\u52a8\u95ee\u7b54\u7cfb\u7edf\u7814\u7a76","funder_award_id":"61672162","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7475107363","display_name":null,"funder_award_id":"16JC1420401","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321885","display_name":"Science and Technology Commission of Shanghai Municipality","ror":"https://ror.org/03kt66j61"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2760314189.pdf","grobid_xml":"https://content.openalex.org/works/W2760314189.grobid-xml"},"referenced_works_count":49,"referenced_works":["https://openalex.org/W71795751","https://openalex.org/W110339475","https://openalex.org/W580278637","https://openalex.org/W1549789254","https://openalex.org/W1595459570","https://openalex.org/W1640287562","https://openalex.org/W1647429986","https://openalex.org/W1832693441","https://openalex.org/W1879966306","https://openalex.org/W1889268436","https://openalex.org/W1924770834","https://openalex.org/W1938755728","https://openalex.org/W1972686387","https://openalex.org/W1997044419","https://openalex.org/W2064675550","https://openalex.org/W2074228526","https://openalex.org/W2097606805","https://openalex.org/W2114524997","https://openalex.org/W2120615054","https://openalex.org/W2123215530","https://openalex.org/W2141179513","https://openalex.org/W2146127187","https://openalex.org/W2146502635","https://openalex.org/W2157331557","https://openalex.org/W2158899491","https://openalex.org/W2163455955","https://openalex.org/W2250539671","https://openalex.org/W2250716442","https://openalex.org/W2251939518","https://openalex.org/W2294712878","https://openalex.org/W2296283641","https://openalex.org/W2308720496","https://openalex.org/W2311921240","https://openalex.org/W2473104040","https://openalex.org/W2512531235","https://openalex.org/W2517996181","https://openalex.org/W2949380545","https://openalex.org/W2950910987","https://openalex.org/W2951559648","https://openalex.org/W2952186591","https://openalex.org/W2952230511","https://openalex.org/W2962688231","https://openalex.org/W2962897020","https://openalex.org/W2963251942","https://openalex.org/W2963355447","https://openalex.org/W2963731165","https://openalex.org/W2964274713","https://openalex.org/W3180171571","https://openalex.org/W4294027320"],"related_works":["https://openalex.org/W3095531775","https://openalex.org/W1526190050","https://openalex.org/W4251923961","https://openalex.org/W2477397717","https://openalex.org/W2010490241","https://openalex.org/W2500457737","https://openalex.org/W4287025733","https://openalex.org/W3192500523","https://openalex.org/W4317425742","https://openalex.org/W2795843251"],"abstract_inverted_index":{"Idioms":[0],"are":[1,65,120],"peculiar":[2],"linguistic":[3],"constructions":[4],"that":[5,24],"impose":[6],"great":[7],"challenges":[8],"for":[9],"representing":[10],"the":[11,25,56,68,112],"semantics":[12,26],"of":[13,27,53,58,78,103,114],"language,":[14],"especially":[15],"in":[16,67],"current":[17],"prevailing":[18],"end-to-end":[19],"neural":[20],"models,":[21,88],"which":[22,72],"assume":[23],"a":[28,79],"phrase":[29,80],"or":[30,82],"sentence":[31],"can":[32,73],"be":[33],"literally":[34,81],"composed":[35],"from":[36],"its":[37],"constitutive":[38],"words.":[39],"In":[40],"this":[41],"paper,":[42],"we":[43,89],"propose":[44],"an":[45,92],"idiomaware":[46],"distributed":[47],"semantic":[48,76],"model":[49],"to":[50],"build":[51],"representation":[52],"sentences":[54],"on":[55],"basis":[57],"understanding":[59],"their":[60],"contained":[61],"idioms.":[62,104],"Our":[63],"models":[64],"grounded":[66],"literalfirst":[69],"psycholinguistic":[70],"hypothesis,":[71],"adaptively":[74],"learn":[75],"compositionality":[77],"idiomatically.":[83],"To":[84],"better":[85],"evaluate":[86],"our":[87,115],"also":[90],"construct":[91],"idiom-enriched":[93],"sentiment":[94],"classification":[95],"dataset":[96],"with":[97],"considerable":[98],"scale":[99],"and":[100,107],"abundant":[101],"peculiarities":[102],"The":[105,117],"qualitative":[106],"quantitative":[108],"experimental":[109],"analyses":[110],"demonstrate":[111],"efficacy":[113],"models.":[116],"newly-introduced":[118],"datasets":[119],"publicly":[121],"available":[122],"at":[123],"http":[124]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2026-08-02T14:50:37.381335","created_date":"2025-10-10T00:00:00"}
