{"id":"https://openalex.org/W85855394","doi":"https://doi.org/10.18653/v1/s16-1167","title":"SemEval-2016 Task 9: Chinese Semantic Dependency Parsing","display_name":"SemEval-2016 Task 9: Chinese Semantic Dependency Parsing","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W85855394","doi":"https://doi.org/10.18653/v1/s16-1167","mag":"85855394"},"language":"en","primary_location":{"id":"doi:10.18653/v1/s16-1167","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s16-1167","pdf_url":"https://www.aclweb.org/anthology/S16-1167.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 10th International Workshop on Semantic Evaluation (SemEval-2016)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/S16-1167.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5019108029","display_name":"Wanxiang Che","orcid":"https://orcid.org/0000-0002-3907-0335"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wanxiang Che","raw_affiliation_strings":["Harbin Institute of Technology,,,,,China"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology,,,,,China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087975058","display_name":"Yanqiu Shao","orcid":"https://orcid.org/0009-0006-0198-754X"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanqiu Shao","raw_affiliation_strings":["Harbin Institute of Technology,,,,,China"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology,,,,,China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100418156","display_name":"Ting Liu","orcid":"https://orcid.org/0000-0002-9091-7757"},"institutions":[{"id":"https://openalex.org/I49496784","display_name":"Beijing City University","ror":"https://ror.org/01jfjwr55","country_code":"CN","type":"education","lineage":["https://openalex.org/I49496784"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ting Liu","raw_affiliation_strings":["[Beijing City University, China]"],"affiliations":[{"raw_affiliation_string":"[Beijing City University, China]","institution_ids":["https://openalex.org/I49496784"]}]},{"author_position":"last","author":{"id":null,"display_name":"Yu Ding","orcid":null},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Ding","raw_affiliation_strings":["Harbin Institute of Technology,,,,,China"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology,,,,,China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5019108029"],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":2.2217,"has_fulltext":true,"cited_by_count":20,"citation_normalized_percentile":{"value":0.90400605,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"1","issue":null,"first_page":"1074","last_page":"1080"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/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/T10215","display_name":"Semantic Web and Ontologies","score":0.9896000027656555,"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":0.8957730531692505},{"id":"https://openalex.org/keywords/semeval","display_name":"SemEval","score":0.8038027286529541},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.7957080602645874},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.769344687461853},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.723268985748291},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.7160443067550659},{"id":"https://openalex.org/keywords/dependency-grammar","display_name":"Dependency grammar","score":0.6631985306739807},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6391311883926392},{"id":"https://openalex.org/keywords/bottom-up-parsing","display_name":"Bottom-up parsing","score":0.41852885484695435},{"id":"https://openalex.org/keywords/top-down-parsing","display_name":"Top-down parsing","score":0.24099084734916687}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8957730531692505},{"id":"https://openalex.org/C44572571","wikidata":"https://www.wikidata.org/wiki/Q7448970","display_name":"SemEval","level":3,"score":0.8038027286529541},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7957080602645874},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.769344687461853},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.723268985748291},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.7160443067550659},{"id":"https://openalex.org/C164883195","wikidata":"https://www.wikidata.org/wiki/Q674834","display_name":"Dependency grammar","level":3,"score":0.6631985306739807},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6391311883926392},{"id":"https://openalex.org/C60690694","wikidata":"https://www.wikidata.org/wiki/Q894902","display_name":"Bottom-up parsing","level":4,"score":0.41852885484695435},{"id":"https://openalex.org/C42560504","wikidata":"https://www.wikidata.org/wiki/Q15419395","display_name":"Top-down parsing","level":3,"score":0.24099084734916687},{"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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.18653/v1/s16-1167","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s16-1167","pdf_url":"https://www.aclweb.org/anthology/S16-1167.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 10th International Workshop on Semantic Evaluation (SemEval-2016)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.383.4369","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.383.4369","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://aclweb.org/anthology//S/S12/S12-1050.pdf","raw_type":"text"},{"id":"mag:85855394","is_oa":false,"landing_page_url":"https://www.aclweb.org/anthology/S12-1050.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306420406","display_name":"Joint Conference on Lexical and Computational Semantics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"Joint Conference on Lexical and Computational Semantics","raw_type":null}],"best_oa_location":{"id":"doi:10.18653/v1/s16-1167","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s16-1167","pdf_url":"https://www.aclweb.org/anthology/S16-1167.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 10th International Workshop on Semantic Evaluation (SemEval-2016)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.46000000834465027}],"awards":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6841785368","display_name":null,"funder_award_id":"61133012","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":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W85855394.pdf","grobid_xml":"https://content.openalex.org/works/W85855394.grobid-xml"},"referenced_works_count":15,"referenced_works":["https://openalex.org/W52985019","https://openalex.org/W73658759","https://openalex.org/W1591840823","https://openalex.org/W2027979924","https://openalex.org/W2051576986","https://openalex.org/W2063464767","https://openalex.org/W2092654472","https://openalex.org/W2096204319","https://openalex.org/W2105847779","https://openalex.org/W2108999232","https://openalex.org/W2119754473","https://openalex.org/W2124861326","https://openalex.org/W2161795601","https://openalex.org/W2542587303","https://openalex.org/W2914096745"],"related_works":["https://openalex.org/W2916139646","https://openalex.org/W2142222368","https://openalex.org/W1517853909","https://openalex.org/W2152358231","https://openalex.org/W2470053311","https://openalex.org/W3208301628","https://openalex.org/W2251869843","https://openalex.org/W1989785251","https://openalex.org/W2252101290","https://openalex.org/W2963341956","https://openalex.org/W2096204319","https://openalex.org/W2051576986","https://openalex.org/W2606104864","https://openalex.org/W2163316144","https://openalex.org/W2270234620","https://openalex.org/W2602596682","https://openalex.org/W2750988886","https://openalex.org/W2148757832","https://openalex.org/W2806905929","https://openalex.org/W2809913388"],"abstract_inverted_index":{"This":[0],"paper":[1],"describes":[2],"the":[3,14,32,55,62,73,81,100],"SemEval-2016":[4],"Shared":[5],"Task":[6],"9:":[7],"Chinese":[8,19,47],"semantic":[9,41],"Dependency":[10],"Parsing.":[11],"We":[12,49,69],"extend":[13],"traditional":[15],"treestructured":[16],"representation":[17],"of":[18,34,46],"sentence":[20],"to":[21,38],"directed":[22],"acyclic":[23],"graphs":[24],"that":[25],"can":[26],"capture":[27],"richer":[28],"latent":[29],"semantics,":[30],"and":[31,61,78,92,103],"goal":[33],"this":[35,76],"task":[36,82,90],"is":[37],"identify":[39],"such":[40],"structures":[42],"from":[43],"a":[44],"corpus":[45],"sentences.":[48],"provide":[50],"two":[51],"distinguished":[52],"corpora":[53],"in":[54,83],"NEWS":[56],"domain":[57,64],"with":[58,65],"10,068":[59],"sentences":[60,67],"TEXT-BOOKS":[63],"14,793":[66],"respectively.":[68],"will":[70],"first":[71],"introduce":[72],"motivation":[74],"for":[75],"task,":[77],"then":[79],"present":[80],"detail":[84],"including":[85],"data":[86,88],"preparation,":[87],"format,":[89],"evaluation":[91],"so":[93],"on.":[94],"At":[95],"last,":[96],"we":[97],"briefly":[98],"describe":[99],"submitted":[101],"systems":[102],"analyze":[104],"these":[105],"results.":[106]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":3},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":3},{"year":2012,"cited_by_count":2}],"updated_date":"2026-03-25T23:56:10.502304","created_date":"2025-10-10T00:00:00"}