{"id":"https://openalex.org/W3164301716","doi":"https://doi.org/10.1109/taslp.2021.3082295","title":"Relation Extraction in Dialogues: A Deep Learning Model Based on the Generality and Specialty of Dialogue Text","display_name":"Relation Extraction in Dialogues: A Deep Learning Model Based on the Generality and Specialty of Dialogue Text","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3164301716","doi":"https://doi.org/10.1109/taslp.2021.3082295","mag":"3164301716"},"language":"en","primary_location":{"id":"doi:10.1109/taslp.2021.3082295","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taslp.2021.3082295","pdf_url":null,"source":{"id":"https://openalex.org/S4210169297","display_name":"IEEE/ACM Transactions on Audio Speech and Language Processing","issn_l":"2329-9290","issn":["2329-9290","2329-9304"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Audio, Speech, and Language Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078910989","display_name":"Mengjia Zhou","orcid":"https://orcid.org/0000-0002-8707-1965"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mengjia Zhou","raw_affiliation_strings":["Department of Key Laboratory of Aerospace Information Security and Trusted Computing, Ministry of Education, School of Cyber Science and Engineering, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-8707-1965","affiliations":[{"raw_affiliation_string":"Department of Key Laboratory of Aerospace Information Security and Trusted Computing, Ministry of Education, School of Cyber Science and Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101801149","display_name":"Donghong Ji","orcid":"https://orcid.org/0000-0003-4020-983X"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Donghong Ji","raw_affiliation_strings":["Department of Key Laboratory of Aerospace Information Security and Trusted Computing, Ministry of Education, School of Cyber Science and Engineering, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Key Laboratory of Aerospace Information Security and Trusted Computing, Ministry of Education, School of Cyber Science and Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100325881","display_name":"Fei Li","orcid":"https://orcid.org/0000-0003-1816-1761"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Li","raw_affiliation_strings":["Department of Key Laboratory of Aerospace Information Security and Trusted Computing, Ministry of Education, School of Cyber Science and Engineering, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-1816-1761","affiliations":[{"raw_affiliation_string":"Department of Key Laboratory of Aerospace Information Security and Trusted Computing, Ministry of Education, School of Cyber Science and Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5078910989"],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":null,"apc_paid":null,"fwci":1.9598,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.88509701,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"29","issue":null,"first_page":"2015","last_page":"2026"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9997000098228455,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9957000017166138,"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/computer-science","display_name":"Computer science","score":0.8357414603233337},{"id":"https://openalex.org/keywords/relationship-extraction","display_name":"Relationship extraction","score":0.7584081888198853},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.7316010594367981},{"id":"https://openalex.org/keywords/coreference","display_name":"Coreference","score":0.7059398889541626},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6362738609313965},{"id":"https://openalex.org/keywords/generality","display_name":"Generality","score":0.5898301005363464},{"id":"https://openalex.org/keywords/pronoun","display_name":"Pronoun","score":0.5675930380821228},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.5375233888626099},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.5251526236534119},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.4633652865886688},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.45581334829330444},{"id":"https://openalex.org/keywords/natural-language-understanding","display_name":"Natural language understanding","score":0.4537544250488281},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.41854327917099},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.35157084465026855},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.12171214818954468}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8357414603233337},{"id":"https://openalex.org/C153604712","wikidata":"https://www.wikidata.org/wiki/Q7310755","display_name":"Relationship extraction","level":3,"score":0.7584081888198853},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.7316010594367981},{"id":"https://openalex.org/C28076734","wikidata":"https://www.wikidata.org/wiki/Q63087","display_name":"Coreference","level":3,"score":0.7059398889541626},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6362738609313965},{"id":"https://openalex.org/C2780767217","wikidata":"https://www.wikidata.org/wiki/Q5532421","display_name":"Generality","level":2,"score":0.5898301005363464},{"id":"https://openalex.org/C2778551981","wikidata":"https://www.wikidata.org/wiki/Q36224","display_name":"Pronoun","level":2,"score":0.5675930380821228},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.5375233888626099},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.5251526236534119},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.4633652865886688},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.45581334829330444},{"id":"https://openalex.org/C2779439875","wikidata":"https://www.wikidata.org/wiki/Q1078276","display_name":"Natural language understanding","level":3,"score":0.4537544250488281},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.41854327917099},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.35157084465026855},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.12171214818954468},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"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/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/taslp.2021.3082295","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taslp.2021.3082295","pdf_url":null,"source":{"id":"https://openalex.org/S4210169297","display_name":"IEEE/ACM Transactions on Audio Speech and Language Processing","issn_l":"2329-9290","issn":["2329-9290","2329-9304"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Audio, Speech, and Language Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.7900000214576721,"id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G4625257646","display_name":null,"funder_award_id":"No. 6160216","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G509611347","display_name":null,"funder_award_id":"No. 61772378","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1604644367","https://openalex.org/W1659740212","https://openalex.org/W1793121960","https://openalex.org/W1889268436","https://openalex.org/W1934084512","https://openalex.org/W2097102171","https://openalex.org/W2099779943","https://openalex.org/W2107598941","https://openalex.org/W2123442489","https://openalex.org/W2181042685","https://openalex.org/W2250521169","https://openalex.org/W2251135946","https://openalex.org/W2251622960","https://openalex.org/W2346452181","https://openalex.org/W2405671176","https://openalex.org/W2407338347","https://openalex.org/W2515462165","https://openalex.org/W2518994510","https://openalex.org/W2889224519","https://openalex.org/W2920198243","https://openalex.org/W2951008357","https://openalex.org/W2951423754","https://openalex.org/W2952179106","https://openalex.org/W2952768212","https://openalex.org/W2955202831","https://openalex.org/W2963014179","https://openalex.org/W2963020213","https://openalex.org/W2963341956","https://openalex.org/W2963403868","https://openalex.org/W2963862093","https://openalex.org/W2964015378","https://openalex.org/W2964121744","https://openalex.org/W2964167098","https://openalex.org/W2964193968","https://openalex.org/W2964217331","https://openalex.org/W2964222246","https://openalex.org/W2971221499","https://openalex.org/W2975998869","https://openalex.org/W3035053871","https://openalex.org/W3035566559","https://openalex.org/W3136967652","https://openalex.org/W4285719527","https://openalex.org/W4385245566","https://openalex.org/W6631190155","https://openalex.org/W6636320352","https://openalex.org/W6638318767","https://openalex.org/W6639364127","https://openalex.org/W6691723933","https://openalex.org/W6714112401","https://openalex.org/W6726422719","https://openalex.org/W6726873649","https://openalex.org/W6739901393","https://openalex.org/W6768134808"],"related_works":["https://openalex.org/W2069989919","https://openalex.org/W1594011529","https://openalex.org/W2032869331","https://openalex.org/W3089213124","https://openalex.org/W4214782486","https://openalex.org/W1565746429","https://openalex.org/W4214957345","https://openalex.org/W2339319059","https://openalex.org/W842810586","https://openalex.org/W4319940250"],"abstract_inverted_index":{"Relation":[0],"extraction":[1,22],"from":[2,23,100],"dialogue":[3,54,135,209],"text":[4],"is":[5,31,58],"an":[6,79],"innovative":[7],"task":[8,30,99],"in":[9,40,52,97,133],"natural":[10,110],"language":[11],"processing.":[12],"In":[13],"addition":[14],"to":[15,63,69,92,107,127,145,156],"the":[16,29,38,53,61,71,94,98,104,118,124,129,134,142,153,163,182,206],"general":[17,20],"characteristics":[18],"of":[19,32,66,120,165,184,208],"relation":[21,86,178,211],"news":[24],"or":[25],"scientific":[26],"publication":[27],"text,":[28],"certain":[33],"special":[34],"features.":[35],"For":[36],"example,":[37],"context":[39,131],"dialogues":[41],"frequently":[42],"switches":[43],"between":[44],"speakers,":[45],"and":[46,161,180],"there":[47],"exist":[48],"rich":[49],"pronoun":[50],"anaphora":[51],"text.":[55],"Thus,":[56],"it":[57],"important":[59],"for":[60,84,117,176,205],"model":[62,83,108,169],"be":[64,201],"aware":[65],"such":[67],"features":[68],"improve":[70],"performance.":[72,186],"Taking":[73],"these":[74],"factors":[75],"together,":[76],"we":[77],"propose":[78],"end":[80],"to-end":[81],"neural":[82],"dialogue-based":[85,177],"extraction,":[87,179],"which":[88],"includes":[89],"four":[90],"modules":[91,192],"handle":[93],"problems":[95],"existing":[96],"different":[101,113,121],"aspects:":[102],"(1)":[103],"word-relation":[105],"attention":[106],"a":[109,173,202],"intuition":[111],"that":[112,136,189],"words":[114],"contribute":[115],"differently":[116],"identification":[119],"relations;":[122,140],"(2)":[123],"graph":[125,166],"reasoning":[126],"consider":[128],"global":[130],"information":[132,148,164],"contains":[137],"many":[138],"inter-sentence":[139],"(3)":[141],"speaker":[143,147,154],"embeddings":[144],"incorporate":[146],"into":[149],"our":[150,190],"model;":[151],"(4)":[152],"coreference":[155],"associate":[157],"pronouns":[158],"with":[159],"speakers":[160],"enrich":[162],"reasoning.":[167],"Our":[168,198],"was":[170],"evaluated":[171],"on":[172],"recently-proposed":[174],"dataset":[175],"achieved":[181],"state":[183],"the-art":[185],"We":[187],"show":[188],"proposed":[191],"are":[193],"effective":[194],"through":[195],"ablation":[196],"studies.":[197],"work":[199],"can":[200],"competitive":[203],"benchmark":[204],"study":[207],"based":[210],"extraction.":[212]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}