{"id":"https://openalex.org/W2950883770","doi":"https://doi.org/10.18653/v1/p19-1379","title":"Diachronic Sense Modeling with Deep Contextualized Word Embeddings: An Ecological View","display_name":"Diachronic Sense Modeling with Deep Contextualized Word Embeddings: An Ecological View","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2950883770","doi":"https://doi.org/10.18653/v1/p19-1379","mag":"2950883770"},"language":"en","primary_location":{"id":"doi:10.18653/v1/p19-1379","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1379","pdf_url":"https://www.aclweb.org/anthology/P19-1379.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 57th Annual Meeting of the Association for Computational Linguistics","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/P19-1379.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5024521937","display_name":"Renfen Hu","orcid":"https://orcid.org/0000-0002-8310-5232"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Renfen Hu","raw_affiliation_strings":["Institute of Chinese Information Processing, Beijing Normal University","UltraPower-BNU Joint Laboratory for Artificial Intelligence, Beijing Normal University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Chinese Information Processing, Beijing Normal University","institution_ids":["https://openalex.org/I25254941"]},{"raw_affiliation_string":"UltraPower-BNU Joint Laboratory for Artificial Intelligence, Beijing Normal University","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104910007","display_name":"Shen Li","orcid":"https://orcid.org/0000-0003-2947-3787"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shen Li","raw_affiliation_strings":["DeeplyCurious.ai"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DeeplyCurious.ai","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030491512","display_name":"Shichen Liang","orcid":null},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shichen Liang","raw_affiliation_strings":["Institute of Chinese Information Processing, Beijing Normal University","UltraPower-BNU Joint Laboratory for Artificial Intelligence, Beijing Normal University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Chinese Information Processing, Beijing Normal University","institution_ids":["https://openalex.org/I25254941"]},{"raw_affiliation_string":"UltraPower-BNU Joint Laboratory for Artificial Intelligence, Beijing Normal University","institution_ids":["https://openalex.org/I25254941"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5030491512"],"corresponding_institution_ids":["https://openalex.org/I25254941"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":97,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3899","last_page":"3908"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12090","display_name":"Language and cultural evolution","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/3316","display_name":"Cultural Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12090","display_name":"Language and cultural evolution","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/3316","display_name":"Cultural Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9990000128746033,"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":0.9983999729156494,"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/conflation","display_name":"Conflation","score":0.8163741827011108},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.7746188044548035},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7241095900535583},{"id":"https://openalex.org/keywords/meaning","display_name":"Meaning (existential)","score":0.597331702709198},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5567067265510559},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5545467734336853},{"id":"https://openalex.org/keywords/sketch","display_name":"Sketch","score":0.5306828022003174},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.49706366658210754},{"id":"https://openalex.org/keywords/semeval","display_name":"SemEval","score":0.46835795044898987},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.45243388414382935},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4316810667514801},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.37517112493515015},{"id":"https://openalex.org/keywords/epistemology","display_name":"Epistemology","score":0.10733744502067566},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.09228983521461487},{"id":"https://openalex.org/keywords/philosophy","display_name":"Philosophy","score":0.07536840438842773}],"concepts":[{"id":"https://openalex.org/C130440534","wikidata":"https://www.wikidata.org/wiki/Q14946528","display_name":"Conflation","level":2,"score":0.8163741827011108},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.7746188044548035},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7241095900535583},{"id":"https://openalex.org/C2780876879","wikidata":"https://www.wikidata.org/wiki/Q3054749","display_name":"Meaning (existential)","level":2,"score":0.597331702709198},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5567067265510559},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5545467734336853},{"id":"https://openalex.org/C2779231336","wikidata":"https://www.wikidata.org/wiki/Q7534724","display_name":"Sketch","level":2,"score":0.5306828022003174},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.49706366658210754},{"id":"https://openalex.org/C44572571","wikidata":"https://www.wikidata.org/wiki/Q7448970","display_name":"SemEval","level":3,"score":0.46835795044898987},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.45243388414382935},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4316810667514801},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.37517112493515015},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.10733744502067566},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.09228983521461487},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.07536840438842773},{"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","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},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/p19-1379","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1379","pdf_url":"https://www.aclweb.org/anthology/P19-1379.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 57th Annual Meeting of the Association for Computational Linguistics","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/p19-1379","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1379","pdf_url":"https://www.aclweb.org/anthology/P19-1379.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 57th Annual Meeting of the Association for Computational Linguistics","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320327557","display_name":"National Office for Philosophy and Social Sciences","ror":"https://ror.org/04m0ms912"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2950883770.pdf","grobid_xml":"https://content.openalex.org/works/W2950883770.grobid-xml"},"referenced_works_count":49,"referenced_works":["https://openalex.org/W250892164","https://openalex.org/W1503259811","https://openalex.org/W1566289585","https://openalex.org/W1570098300","https://openalex.org/W1897587124","https://openalex.org/W1978321088","https://openalex.org/W2015345446","https://openalex.org/W2063792498","https://openalex.org/W2063804110","https://openalex.org/W2082092506","https://openalex.org/W2102343050","https://openalex.org/W2107550813","https://openalex.org/W2125786288","https://openalex.org/W2162456950","https://openalex.org/W2168938909","https://openalex.org/W2238728730","https://openalex.org/W2251402695","https://openalex.org/W2251537235","https://openalex.org/W2251671233","https://openalex.org/W2295077981","https://openalex.org/W2307020448","https://openalex.org/W2490986620","https://openalex.org/W2507974895","https://openalex.org/W2563660874","https://openalex.org/W2607303184","https://openalex.org/W2738734060","https://openalex.org/W2740377422","https://openalex.org/W2741040861","https://openalex.org/W2769358515","https://openalex.org/W2773121996","https://openalex.org/W2798056406","https://openalex.org/W2799068938","https://openalex.org/W2804830075","https://openalex.org/W2807650837","https://openalex.org/W2896457183","https://openalex.org/W2902405254","https://openalex.org/W2962739339","https://openalex.org/W2963341956","https://openalex.org/W2963606136","https://openalex.org/W2963706278","https://openalex.org/W2963780471","https://openalex.org/W2963850840","https://openalex.org/W2963863926","https://openalex.org/W2964231305","https://openalex.org/W3021993127","https://openalex.org/W4233559841","https://openalex.org/W4237542790","https://openalex.org/W4289256736","https://openalex.org/W4297792210"],"related_works":["https://openalex.org/W2186092498","https://openalex.org/W2058252362","https://openalex.org/W1982687909","https://openalex.org/W2352149790","https://openalex.org/W1984630168","https://openalex.org/W2750665538","https://openalex.org/W1545994636","https://openalex.org/W4205183227","https://openalex.org/W2188275805","https://openalex.org/W4287641341"],"abstract_inverted_index":{"Diachronic":[0],"word":[1,22,61,75,84,92],"embeddings":[2],"have":[3],"been":[4],"widely":[5],"used":[6],"in":[7,72,83,104],"detecting":[8],"temporal":[9],"changes.":[10,63],"However,":[11],"existing":[12],"methods":[13],"face":[14],"the":[15,60,91,105],"meaning":[16,62],"conflation":[17],"deficiency":[18],"by":[19],"representing":[20,73],"a":[21,24,38,80],"as":[23],"single":[25],"vector":[26],"at":[27,50],"each":[28],"time":[29],"period.":[30],"To":[31],"address":[32],"this":[33,35],"issue,":[34],"paper":[36],"proposes":[37],"sense":[39,102,111,114],"representation":[40],"and":[41,55,77,98,113],"tracking":[42],"framework":[43,69],"based":[44],"on":[45],"deep":[46],"contextualized":[47],"embeddings,":[48],"aiming":[49],"answering":[51],"not":[52],"only":[53],"what":[54],"when,":[56],"but":[57],"also":[58],"how":[59],"The":[64],"experiments":[65],"show":[66],"that":[67],"our":[68],"is":[70],"effective":[71],"fine-grained":[74],"senses,":[76],"it":[78],"brings":[79],"significant":[81],"improvement":[82],"change":[85,93],"detection":[86],"task.":[87],"Furthermore,":[88],"we":[89],"model":[90],"from":[94],"an":[95],"ecological":[96],"viewpoint,":[97],"sketch":[99],"two":[100],"interesting":[101],"behaviors":[103],"process":[106],"of":[107],"language":[108],"evolution,":[109],"i.e.":[110],"competition":[112],"cooperation.":[115]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":20},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":23},{"year":2020,"cited_by_count":20},{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}