{"id":"https://openalex.org/W2963956638","doi":"https://doi.org/10.18653/v1/p18-1230","title":"Incorporating Glosses into Neural Word Sense Disambiguation","display_name":"Incorporating Glosses into Neural Word Sense Disambiguation","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2963956638","doi":"https://doi.org/10.18653/v1/p18-1230","mag":"2963956638"},"language":"en","primary_location":{"id":"doi:10.18653/v1/p18-1230","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p18-1230","pdf_url":"https://www.aclweb.org/anthology/P18-1230.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 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","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/P18-1230.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5019525050","display_name":"Fuli Luo","orcid":"https://orcid.org/0000-0002-5403-6434"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fuli Luo","raw_affiliation_strings":["School of Electronics Engineering and Computer Science, Peking University, Beijing, China","Key Laboratory of Computational Linguistics, Ministry of Education,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics Engineering and Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Key Laboratory of Computational Linguistics, Ministry of Education,","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005660159","display_name":"Tianyu Liu","orcid":"https://orcid.org/0000-0001-9121-9021"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianyu Liu","raw_affiliation_strings":["Key Laboratory of Computational Linguistics, Ministry of Education,","School of Electronics Engineering and Computer Science, Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Computational Linguistics, Ministry of Education,","institution_ids":[]},{"raw_affiliation_string":"School of Electronics Engineering and Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112642769","display_name":"Qiaolin Xia","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiaolin Xia","raw_affiliation_strings":["School of Electronics Engineering and Computer Science, Peking University, Beijing, China","Key Laboratory of Computational Linguistics, Ministry of Education,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics Engineering and Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Key Laboratory of Computational Linguistics, Ministry of Education,","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021459300","display_name":"Baobao Chang","orcid":"https://orcid.org/0000-0003-2824-6750"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baobao Chang","raw_affiliation_strings":["Key Laboratory of Computational Linguistics, Ministry of Education,","School of Electronics Engineering and Computer Science, Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Computational Linguistics, Ministry of Education,","institution_ids":[]},{"raw_affiliation_string":"School of Electronics Engineering and Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110285832","display_name":"Zhifang Sui","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhifang Sui","raw_affiliation_strings":["Key Laboratory of Computational Linguistics, Ministry of Education,","School of Electronics Engineering and Computer Science, Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Computational Linguistics, Ministry of Education,","institution_ids":[]},{"raw_affiliation_string":"School of Electronics Engineering and Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":102,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2473","last_page":"2482"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10028","display_name":"Topic Modeling","score":0.9998000264167786,"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/T13629","display_name":"Text Readability and Simplification","score":0.9944000244140625,"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/wordnet","display_name":"WordNet","score":0.9276410937309265},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8204935789108276},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6770062446594238},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6514726281166077},{"id":"https://openalex.org/keywords/word-sense-disambiguation","display_name":"Word-sense disambiguation","score":0.5637903213500977},{"id":"https://openalex.org/keywords/gloss","display_name":"Gloss (optics)","score":0.5525328516960144},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5042105913162231},{"id":"https://openalex.org/keywords/polysemy","display_name":"Polysemy","score":0.42785027623176575},{"id":"https://openalex.org/keywords/semeval","display_name":"SemEval","score":0.42324990034103394},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4118935763835907}],"concepts":[{"id":"https://openalex.org/C157659113","wikidata":"https://www.wikidata.org/wiki/Q533822","display_name":"WordNet","level":2,"score":0.9276410937309265},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8204935789108276},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6770062446594238},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6514726281166077},{"id":"https://openalex.org/C51646954","wikidata":"https://www.wikidata.org/wiki/Q48522","display_name":"Word-sense disambiguation","level":3,"score":0.5637903213500977},{"id":"https://openalex.org/C143025027","wikidata":"https://www.wikidata.org/wiki/Q900581","display_name":"Gloss (optics)","level":3,"score":0.5525328516960144},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5042105913162231},{"id":"https://openalex.org/C2780276568","wikidata":"https://www.wikidata.org/wiki/Q191928","display_name":"Polysemy","level":2,"score":0.42785027623176575},{"id":"https://openalex.org/C44572571","wikidata":"https://www.wikidata.org/wiki/Q7448970","display_name":"SemEval","level":3,"score":0.42324990034103394},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4118935763835907},{"id":"https://openalex.org/C2781448156","wikidata":"https://www.wikidata.org/wiki/Q1570182","display_name":"Coating","level":2,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/p18-1230","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p18-1230","pdf_url":"https://www.aclweb.org/anthology/P18-1230.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 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/p18-1230","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p18-1230","pdf_url":"https://www.aclweb.org/anthology/P18-1230.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 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.5,"id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G4918981142","display_name":null,"funder_award_id":"61751201","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2963956638.pdf","grobid_xml":"https://content.openalex.org/works/W2963956638.grobid-xml"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1561908597","https://openalex.org/W1971220772","https://openalex.org/W2081580037","https://openalex.org/W2101293500","https://openalex.org/W2125786288","https://openalex.org/W2127128140","https://openalex.org/W2127289991","https://openalex.org/W2131494463","https://openalex.org/W2159719802","https://openalex.org/W2219047839","https://openalex.org/W2250954350","https://openalex.org/W2251322122","https://openalex.org/W2251537235","https://openalex.org/W2251671233","https://openalex.org/W2293453011","https://openalex.org/W2436001372","https://openalex.org/W2469352770","https://openalex.org/W2473965551","https://openalex.org/W2518202280","https://openalex.org/W2740782137","https://openalex.org/W2741989495","https://openalex.org/W2752047430","https://openalex.org/W2757205734","https://openalex.org/W2782379161","https://openalex.org/W2951008357","https://openalex.org/W2963558617","https://openalex.org/W2963579811","https://openalex.org/W2963606136","https://openalex.org/W2963711448","https://openalex.org/W2964078317","https://openalex.org/W2964091467","https://openalex.org/W2964121744","https://openalex.org/W2964189868","https://openalex.org/W4297771995","https://openalex.org/W4386506836"],"related_works":["https://openalex.org/W1988325893","https://openalex.org/W2113144812","https://openalex.org/W2252023808","https://openalex.org/W3114765853","https://openalex.org/W189413142","https://openalex.org/W2089001890","https://openalex.org/W4385570727","https://openalex.org/W2468744590","https://openalex.org/W2480501668","https://openalex.org/W103065337"],"abstract_inverted_index":{"Word":[0],"Sense":[1],"Disambiguation":[2],"(WSD)":[3],"aims":[4],"to":[5,24,74,149],"identify":[6],"the":[7,14,32,60,65,97,102,107,111,114,124,127,137,151,162],"correct":[8],"meaning":[9],"of":[10,26,64,78,101,126,140],"polysemous":[11],"words":[12],"in":[13,31,72,116,147],"particular":[15],"context.":[16],"Lexical":[17],"resources":[18,50],"like":[19,51],"WordNet":[20,148],"which":[21,94,122],"are":[22],"proved":[23],"be":[25],"great":[27],"help":[28],"for":[29,39],"WSD":[30,40,91,169],"knowledge-based":[33,132],"methods.":[34,133],"However,":[35],"previous":[36,128],"neural":[37,92],"networks":[38],"always":[41],"rely":[42],"on":[43,165],"massive":[44],"labeled":[45,80],"data":[46,81],"(context),":[47],"ignoring":[48],"lexical":[49,83],"glosses":[52,63,100],"(sense":[53],"definitions).":[54],"In":[55],"this":[56],"paper,":[57],"we":[58,86],"integrate":[59],"context":[61,98,112],"and":[62,82,99,113,131],"target":[66,103],"word":[67,141],"into":[68],"a":[69,89],"unified":[70],"framework":[71],"order":[73],"make":[75],"full":[76],"use":[77],"both":[79],"knowledge.":[84],"Therefore,":[85],"propose":[87],"GAS:":[88],"gloss-augmented":[90],"network":[93,120],"jointly":[95],"encodes":[96],"word.":[104],"GAS":[105],"models":[106],"semantic":[108,145],"relationship":[109],"between":[110],"gloss":[115,139,152],"an":[117],"improved":[118],"memory":[119],"framework,":[121],"breaks":[123],"barriers":[125],"supervised":[129],"methods":[130],"We":[134],"further":[135],"extend":[136],"original":[138],"sense":[142],"via":[143],"its":[144],"relations":[146],"enrich":[150],"information.":[153],"The":[154],"experimental":[155],"results":[156],"show":[157],"that":[158],"our":[159],"model":[160],"outperforms":[161],"state-of-theart":[163],"systems":[164],"several":[166],"English":[167],"all-words":[168],"datasets.":[170]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":31},{"year":2020,"cited_by_count":21},{"year":2019,"cited_by_count":25},{"year":2018,"cited_by_count":5}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}