{"id":"https://openalex.org/W3089182715","doi":"https://doi.org/10.1145/3402885","title":"An Extensible Framework of Leveraging Syntactic Skeleton for Semantic Relation Classification","display_name":"An Extensible Framework of Leveraging Syntactic Skeleton for Semantic Relation Classification","publication_year":2020,"publication_date":"2020-09-27","ids":{"openalex":"https://openalex.org/W3089182715","doi":"https://doi.org/10.1145/3402885","mag":"3089182715"},"language":"en","primary_location":{"id":"doi:10.1145/3402885","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3402885","pdf_url":null,"source":{"id":"https://openalex.org/S4306421405","display_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","issn_l":"2375-4699","issn":["2375-4699","2375-4702"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Asian and Low-Resource Language Information 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/A5100655167","display_name":"Hao Wang","orcid":"https://orcid.org/0000-0002-1089-9828"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hao Wang","raw_affiliation_strings":["Shanghai University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021707885","display_name":"Qiongxing Tao","orcid":null},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiongxing Tao","raw_affiliation_strings":["Shanghai University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077777714","display_name":"Siyuan Du","orcid":"https://orcid.org/0009-0001-3916-2926"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siyuan Du","raw_affiliation_strings":["Shanghai University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100426947","display_name":"Xiangfeng Luo","orcid":"https://orcid.org/0000-0003-4577-9241"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangfeng Luo","raw_affiliation_strings":["Shanghai University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100655167"],"corresponding_institution_ids":["https://openalex.org/I113940042"],"apc_list":null,"apc_paid":null,"fwci":0.1326,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.54855119,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"19","issue":"6","first_page":"1","last_page":"21"},"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":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/T11550","display_name":"Text and Document Classification Technologies","score":0.9894000291824341,"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":0.853659987449646},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6679614782333374},{"id":"https://openalex.org/keywords/syntax","display_name":"Syntax","score":0.6649385690689087},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6169480085372925},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.610506534576416},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5971167683601379},{"id":"https://openalex.org/keywords/relationship-extraction","display_name":"Relationship extraction","score":0.5467849373817444},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5106359124183655},{"id":"https://openalex.org/keywords/semeval","display_name":"SemEval","score":0.507829487323761},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.467805415391922},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4479328691959381},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.24834775924682617},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.1503342092037201},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.08410844206809998}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.853659987449646},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6679614782333374},{"id":"https://openalex.org/C60048249","wikidata":"https://www.wikidata.org/wiki/Q37437","display_name":"Syntax","level":2,"score":0.6649385690689087},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6169480085372925},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.610506534576416},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5971167683601379},{"id":"https://openalex.org/C153604712","wikidata":"https://www.wikidata.org/wiki/Q7310755","display_name":"Relationship extraction","level":3,"score":0.5467849373817444},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5106359124183655},{"id":"https://openalex.org/C44572571","wikidata":"https://www.wikidata.org/wiki/Q7448970","display_name":"SemEval","level":3,"score":0.507829487323761},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.467805415391922},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4479328691959381},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.24834775924682617},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.1503342092037201},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.08410844206809998},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3402885","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3402885","pdf_url":null,"source":{"id":"https://openalex.org/S4306421405","display_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","issn_l":"2375-4699","issn":["2375-4699","2375-4702"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8100000023841858,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G2285610658","display_name":null,"funder_award_id":"91746203","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":34,"referenced_works":["https://openalex.org/W128638292","https://openalex.org/W1554540371","https://openalex.org/W1604644367","https://openalex.org/W1832693441","https://openalex.org/W1838058638","https://openalex.org/W2017668967","https://openalex.org/W2030408698","https://openalex.org/W2052947212","https://openalex.org/W2090243146","https://openalex.org/W2099779943","https://openalex.org/W2126129064","https://openalex.org/W2140636749","https://openalex.org/W2155454737","https://openalex.org/W2163362093","https://openalex.org/W2165935464","https://openalex.org/W2251135946","https://openalex.org/W2251143283","https://openalex.org/W2513378248","https://openalex.org/W2517194566","https://openalex.org/W2750779823","https://openalex.org/W2799915114","https://openalex.org/W2886362482","https://openalex.org/W2916803445","https://openalex.org/W2917458986","https://openalex.org/W2930957955","https://openalex.org/W2952729433","https://openalex.org/W2962784628","https://openalex.org/W2962897570","https://openalex.org/W2962913831","https://openalex.org/W2963026768","https://openalex.org/W2963563735","https://openalex.org/W2984452801","https://openalex.org/W2997617958","https://openalex.org/W4205807230"],"related_works":["https://openalex.org/W2954217959","https://openalex.org/W2806451243","https://openalex.org/W4385570488","https://openalex.org/W2807524541","https://openalex.org/W2806882588","https://openalex.org/W2964125981","https://openalex.org/W2605526599","https://openalex.org/W2796111924","https://openalex.org/W4361865679","https://openalex.org/W2806121831"],"abstract_inverted_index":{"Relation":[0],"classification":[1,38,56,101],"is":[2,188,192],"one":[3],"of":[4,21,43,131,169,181,185],"the":[5,71,115,129,137,152,167,182],"most":[6,195],"fundamental":[7],"upstream":[8],"tasks":[9],"in":[10],"natural":[11],"language":[12],"processing":[13],"and":[14,48,146],"information":[15],"extraction.":[16],"State-of-the-art":[17],"approaches":[18],"make":[19],"use":[20],"various":[22],"deep":[23],"neural":[24,62],"networks":[25],"(DNNs)":[26],"to":[27,36,59,70,109,118],"extract":[28],"higher-level":[29],"features":[30,47,82],"directly.":[31],"They":[32],"can":[33],"easily":[34],"access":[35],"accurate":[37],"results":[39,150],"by":[40,102],"taking":[41],"advantage":[42],"both":[44],"local":[45],"entity":[46],"global":[49],"sentential":[50,116],"features.":[51],"Recent":[52],"works":[53],"on":[54,151],"relation":[55,86,100,121,170],"devote":[57],"efforts":[58],"modify":[60],"these":[61],"networks,":[63],"but":[64],"less":[65],"attention":[66],"has":[67],"been":[68],"paid":[69],"feature":[72],"design":[73],"concerning":[74],"syntax.":[75],"However,":[76],"from":[77],"a":[78,93],"linguistic":[79],"perspective,":[80],"syntactic":[81,105,111,124,160],"are":[83,126,140],"essential":[84],"for":[85,194],"classification.":[87,171],"In":[88],"this":[89,190],"article,":[90],"we":[91],"present":[92],"novel":[94],"linguistically":[95],"motivated":[96],"approach":[97],"that":[98,158,189],"enhances":[99,166],"imposing":[103],"additional":[104],"constraints.":[106],"We":[107],"investigate":[108],"leverage":[110],"skeletons":[112,125,161],"along":[113],"with":[114],"contexts":[117],"identify":[119],"hidden":[120],"types.":[122],"The":[123],"extracted":[127],"under":[128],"guidance":[130],"prior":[132],"syntax":[133],"knowledge.":[134],"During":[135],"extraction,":[136],"input":[138],"sentences":[139],"recursively":[141],"decomposed":[142],"into":[143,162],"syntactically":[144],"shorter":[145],"simpler":[147],"chunks.":[148],"Experimental":[149],"SemEval-2010":[153],"Task":[154],"8":[155],"benchmark":[156],"show":[157],"incorporating":[159],"current":[163,196],"DNN":[164,197],"models":[165],"task":[168],"Our":[172],"systems":[173],"significantly":[174],"surpass":[175],"two":[176],"strong":[177],"baseline":[178],"systems.":[179],"One":[180],"substantial":[183],"advantages":[184],"our":[186],"proposal":[187],"framework":[191],"extensible":[193],"models.":[198]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
