{"id":"https://openalex.org/W2514196055","doi":"https://doi.org/10.18653/v1/p16-1163","title":"Implicit Discourse Relation Detection via a Deep Architecture with Gated Relevance Network","display_name":"Implicit Discourse Relation Detection via a Deep Architecture with Gated Relevance Network","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2514196055","doi":"https://doi.org/10.18653/v1/p16-1163","mag":"2514196055"},"language":"en","primary_location":{"id":"doi:10.18653/v1/p16-1163","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p16-1163","pdf_url":"https://www.aclweb.org/anthology/P16-1163.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 54th 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/P16-1163.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103130791","display_name":"Jifan Chen","orcid":"https://orcid.org/0000-0001-6814-0999"},"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":"Jifan Chen","raw_affiliation_strings":["Shanghai Key Laboratory of Data Science School of Computer Science, Fudan University 825 Zhangheng Road, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Key Laboratory of Data Science 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/A5100665641","display_name":"Qi Zhang","orcid":"https://orcid.org/0000-0003-2942-7430"},"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":"Qi Zhang","raw_affiliation_strings":["Shanghai Key Laboratory of Data Science School of Computer Science, Fudan University 825 Zhangheng Road, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Key Laboratory of Data Science 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/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 Data Science School of Computer Science, Fudan University 825 Zhangheng Road, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Key Laboratory of Data Science 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 Data Science School of Computer Science, Fudan University 825 Zhangheng Road, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Key Laboratory of Data Science 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 Data Science School of Computer Science, Fudan University 825 Zhangheng Road, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Key Laboratory of Data Science 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":8.733,"has_fulltext":true,"cited_by_count":86,"citation_normalized_percentile":{"value":0.98461741,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1726","last_page":"1735"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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/T10028","display_name":"Topic Modeling","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/T10181","display_name":"Natural Language Processing Techniques","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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9988999962806702,"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":0.726329505443573},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.7248075008392334},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.7017126679420471},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.5805285573005676},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.467037171125412},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4597475826740265},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.19015207886695862},{"id":"https://openalex.org/keywords/history","display_name":"History","score":0.09114143252372742}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.726329505443573},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.7248075008392334},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.7017126679420471},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.5805285573005676},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.467037171125412},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4597475826740265},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.19015207886695862},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.09114143252372742},{"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/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"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/p16-1163","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p16-1163","pdf_url":"https://www.aclweb.org/anthology/P16-1163.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 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/p16-1163","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p16-1163","pdf_url":"https://www.aclweb.org/anthology/P16-1163.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 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1979465396","display_name":"\u878d\u5408\u6587\u672c\u5185\u5bb9\u4e0e\u7ed3\u6784\u4fe1\u606f\u7684\u8bdd\u9898\u5206\u6790\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61472088","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2711593179","display_name":null,"funder_award_id":"61473092","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"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/G7433387973","display_name":null,"funder_award_id":"2015AA015408","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":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2514196055.pdf","grobid_xml":"https://content.openalex.org/works/W2514196055.grobid-xml"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W29849901","https://openalex.org/W100623710","https://openalex.org/W102059219","https://openalex.org/W1497300277","https://openalex.org/W1563792215","https://openalex.org/W1855867616","https://openalex.org/W2064675550","https://openalex.org/W2101802482","https://openalex.org/W2104950474","https://openalex.org/W2109318894","https://openalex.org/W2109462987","https://openalex.org/W2117130368","https://openalex.org/W2123228027","https://openalex.org/W2127426251","https://openalex.org/W2131774270","https://openalex.org/W2146502635","https://openalex.org/W2151873717","https://openalex.org/W2153579005","https://openalex.org/W2154407881","https://openalex.org/W2154771901","https://openalex.org/W2158139315","https://openalex.org/W2164567676","https://openalex.org/W2166957049","https://openalex.org/W2170738476","https://openalex.org/W2250201115","https://openalex.org/W2251753273","https://openalex.org/W2265289447","https://openalex.org/W2291880741","https://openalex.org/W2295479927","https://openalex.org/W2563843170","https://openalex.org/W2951359136","https://openalex.org/W2953029945","https://openalex.org/W2963053846","https://openalex.org/W4233906699","https://openalex.org/W4294170691","https://openalex.org/W4300062145"],"related_works":["https://openalex.org/W1843462531","https://openalex.org/W2789919619","https://openalex.org/W2293457016","https://openalex.org/W91919785","https://openalex.org/W4251618474","https://openalex.org/W2582127032","https://openalex.org/W2093143111","https://openalex.org/W1551406738","https://openalex.org/W2610387714","https://openalex.org/W2369308426"],"abstract_inverted_index":{"Word":[0],"pairs,":[1,85],"which":[2],"are":[3],"one":[4],"of":[5,33,63,131],"the":[6,24,34,38,55,61,68,80,98,111,125,132],"most":[7,99],"easily":[8],"accessible":[9],"features":[10,45,118],"between":[11,28,83],"two":[12],"text":[13,29],"segments,":[14],"have":[15],"been":[16],"proven":[17],"to":[18,53,66,78,96],"be":[19],"very":[20],"useful":[21],"for":[22],"detecting":[23],"discourse":[25,126],"relations":[26,128],"held":[27],"segments.":[30],"However,":[31],"because":[32],"data":[35,56],"sparsity":[36,57],"problem,":[37,58],"performance":[39,122],"achieved":[40],"by":[41],"using":[42,92,115],"word":[43,64,84],"pair":[44],"is":[46],"limited.":[47],"In":[48],"this":[49],"paper,":[50],"in":[51,129],"order":[52],"overcome":[54],"we":[59,72],"propose":[60],"use":[62],"embeddings":[65],"replace":[67],"original":[69],"words.":[70],"Moreover,":[71],"adopt":[73],"a":[74,93],"gated":[75],"relevance":[76],"network":[77],"capture":[79],"semantic":[81,90],"interaction":[82],"and":[86],"then":[87],"aggregate":[88],"those":[89],"interactions":[91],"pooling":[94],"layer":[95],"select":[97],"informative":[100],"interactions.":[101],"Experimental":[102],"results":[103],"on":[104,123],"Penn":[105],"Discourse":[106],"Tree":[107],"Bank":[108],"show":[109],"that":[110],"proposed":[112],"method":[113],"without":[114],"manually":[116],"designed":[117],"can":[119],"achieve":[120],"better":[121],"recognizing":[124],"level":[127],"all":[130],"relations.":[133]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":13},{"year":2018,"cited_by_count":16},{"year":2017,"cited_by_count":13},{"year":2016,"cited_by_count":3}],"updated_date":"2026-07-31T08:31:51.225901","created_date":"2025-10-10T00:00:00"}
