{"id":"https://openalex.org/W2756495662","doi":"https://doi.org/10.18653/v1/d17-1273","title":"Learning Fine-grained Relations from Chinese User Generated Categories","display_name":"Learning Fine-grained Relations from Chinese User Generated Categories","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2756495662","doi":"https://doi.org/10.18653/v1/d17-1273","mag":"2756495662"},"language":"en","primary_location":{"id":"doi:10.18653/v1/d17-1273","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d17-1273","pdf_url":"https://www.aclweb.org/anthology/D17-1273.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\n          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/D17-1273.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100373451","display_name":"Chengyu Wang","orcid":"https://orcid.org/0000-0003-1010-9678"},"institutions":[{"id":"https://openalex.org/I4210139618","display_name":"Shanghai Key Laboratory of Trustworthy Computing","ror":"https://ror.org/030qbr085","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210139618"]},{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengyu Wang","raw_affiliation_strings":["Shanghai Key Laboratory of Trustworthy Computing, School of Computer Science and Software Engineering, East China Normal University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Key Laboratory of Trustworthy Computing, School of Computer Science and Software Engineering, East China Normal University","institution_ids":["https://openalex.org/I4210139618","https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048447893","display_name":"Yan Fan","orcid":"https://orcid.org/0000-0002-8099-3203"},"institutions":[{"id":"https://openalex.org/I4210139618","display_name":"Shanghai Key Laboratory of Trustworthy Computing","ror":"https://ror.org/030qbr085","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210139618"]},{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Fan","raw_affiliation_strings":["Shanghai Key Laboratory of Trustworthy Computing, School of Computer Science and Software Engineering, East China Normal University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Key Laboratory of Trustworthy Computing, School of Computer Science and Software Engineering, East China Normal University","institution_ids":["https://openalex.org/I4210139618","https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101434435","display_name":"Xiaofeng He","orcid":"https://orcid.org/0000-0002-6911-348X"},"institutions":[{"id":"https://openalex.org/I4210139618","display_name":"Shanghai Key Laboratory of Trustworthy Computing","ror":"https://ror.org/030qbr085","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210139618"]},{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaofeng He","raw_affiliation_strings":["Shanghai Key Laboratory of Trustworthy Computing, School of Computer Science and Software Engineering, East China Normal University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Key Laboratory of Trustworthy Computing, School of Computer Science and Software Engineering, East China Normal University","institution_ids":["https://openalex.org/I4210139618","https://openalex.org/I66867065"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101511862","display_name":"Aoying Zhou","orcid":"https://orcid.org/0000-0002-4665-7302"},"institutions":[{"id":"https://openalex.org/I4210139618","display_name":"Shanghai Key Laboratory of Trustworthy Computing","ror":"https://ror.org/030qbr085","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210139618"]},{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Aoying Zhou","raw_affiliation_strings":["Shanghai Key Laboratory of Trustworthy Computing, School of Computer Science and Software Engineering, East China Normal University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Key Laboratory of Trustworthy Computing, School of Computer Science and Software Engineering, East China Normal University","institution_ids":["https://openalex.org/I4210139618","https://openalex.org/I66867065"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101511862"],"corresponding_institution_ids":["https://openalex.org/I4210139618","https://openalex.org/I66867065"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2577","last_page":"2587"},"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":0.9998000264167786,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9937999844551086,"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":0.7354863882064819},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6150354743003845},{"id":"https://openalex.org/keywords/word-embedding","display_name":"Word embedding","score":0.6126638650894165},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6030032634735107},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.584099531173706},{"id":"https://openalex.org/keywords/relationship-extraction","display_name":"Relationship extraction","score":0.5817742347717285},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5372241735458374},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.5146011114120483},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.47542598843574524},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.4422128200531006},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.43603450059890747},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.42314979434013367},{"id":"https://openalex.org/keywords/semantic-relation","display_name":"Semantic relation","score":0.4135967493057251},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.2756901979446411},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.14661812782287598},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.1392536759376526},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10738331079483032}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7354863882064819},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6150354743003845},{"id":"https://openalex.org/C2777462759","wikidata":"https://www.wikidata.org/wiki/Q18395344","display_name":"Word embedding","level":3,"score":0.6126638650894165},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6030032634735107},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.584099531173706},{"id":"https://openalex.org/C153604712","wikidata":"https://www.wikidata.org/wiki/Q7310755","display_name":"Relationship extraction","level":3,"score":0.5817742347717285},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5372241735458374},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.5146011114120483},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.47542598843574524},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.4422128200531006},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.43603450059890747},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.42314979434013367},{"id":"https://openalex.org/C2988080768","wikidata":"https://www.wikidata.org/wiki/Q7095057","display_name":"Semantic relation","level":3,"score":0.4135967493057251},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.2756901979446411},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.14661812782287598},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.1392536759376526},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10738331079483032},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"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/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/d17-1273","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d17-1273","pdf_url":"https://www.aclweb.org/anthology/D17-1273.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\n          Language Processing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/d17-1273","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d17-1273","pdf_url":"https://www.aclweb.org/anthology/D17-1273.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\n          Language Processing","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.7799999713897705,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G333974875","display_name":null,"funder_award_id":"2016YFB1000904","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320322370","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2756495662.pdf","grobid_xml":"https://content.openalex.org/works/W2756495662.grobid-xml"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W60048903","https://openalex.org/W89857650","https://openalex.org/W205765513","https://openalex.org/W804133461","https://openalex.org/W924495457","https://openalex.org/W1572864191","https://openalex.org/W1583820951","https://openalex.org/W1802829841","https://openalex.org/W2005490094","https://openalex.org/W2022166150","https://openalex.org/W2044024461","https://openalex.org/W2078797727","https://openalex.org/W2124714252","https://openalex.org/W2132655161","https://openalex.org/W2138605095","https://openalex.org/W2153579005","https://openalex.org/W2159750428","https://openalex.org/W2165615475","https://openalex.org/W2168565044","https://openalex.org/W2250796977","https://openalex.org/W2251644777","https://openalex.org/W2251797717","https://openalex.org/W2294078178","https://openalex.org/W2294607801","https://openalex.org/W2296076036","https://openalex.org/W2395274213","https://openalex.org/W2399120424","https://openalex.org/W2471366537","https://openalex.org/W2486841040","https://openalex.org/W2504730010","https://openalex.org/W2522542936","https://openalex.org/W2538279803","https://openalex.org/W2564551938","https://openalex.org/W2571611815","https://openalex.org/W2572180828","https://openalex.org/W2573129827","https://openalex.org/W2575365684","https://openalex.org/W2584630532","https://openalex.org/W2620787630","https://openalex.org/W2739709728","https://openalex.org/W2962724755","https://openalex.org/W4294170691"],"related_works":["https://openalex.org/W2168897002","https://openalex.org/W4286432911","https://openalex.org/W2911655849","https://openalex.org/W3134737443","https://openalex.org/W2806882588","https://openalex.org/W3193501548","https://openalex.org/W4531093","https://openalex.org/W2806451243","https://openalex.org/W166780916","https://openalex.org/W4287022404"],"abstract_inverted_index":{"User":[0],"generated":[1],"categories":[2],"(UGCs)":[3],"are":[4,27],"short":[5],"texts":[6],"that":[7],"reflect":[8],"how":[9],"people":[10],"describe":[11],"and":[12,74,79,92],"organize":[13],"entities,":[14],"expressing":[15],"rich":[16],"semantic":[17],"relations":[18,36,61,68,78],"implicitly.":[19],"While":[20],"most":[21],"methods":[22],"on":[23,29,89],"UGC":[24],"relation":[25],"extraction":[26],"based":[28,72],"pattern":[30],"matching":[31],"in":[32],"English":[33],"circumstances,":[34],"learning":[35,57],"from":[37,62],"Chinese":[38,63,90],"UGCs":[39],"poses":[40],"different":[41],"challenges":[42],"due":[43],"to":[44,59],"the":[45],"flexibility":[46],"of":[47],"expressions.":[48],"In":[49],"this":[50],"paper,":[51],"we":[52],"present":[53],"a":[54],"weakly":[55],"supervised":[56],"framework":[58],"harvest":[60],"UGCs.":[64],"We":[65,86],"identify":[66],"is-a":[67],"via":[69],"word":[70],"embedding":[71],"projection":[73],"inference,":[75],"extract":[76],"non-taxonomic":[77],"their":[80],"category":[81],"patterns":[82],"by":[83],"graph":[84],"mining.":[85],"conduct":[87],"experiments":[88],"Wikipedia":[91],"achieve":[93],"high":[94],"accuracy,":[95],"outperforming":[96],"state-of-the-art":[97],"methods.":[98]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}