{"id":"https://openalex.org/W2251982117","doi":"https://doi.org/10.18653/v1/w14-0139","title":"Leveraging Morpho-semantics for the Discovery of Relations in Chinese Wordnet","display_name":"Leveraging Morpho-semantics for the Discovery of Relations in Chinese Wordnet","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2251982117","doi":"https://doi.org/10.18653/v1/w14-0139","mag":"2251982117"},"language":"en","primary_location":{"id":"doi:10.18653/v1/w14-0139","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w14-0139","pdf_url":"https://aclanthology.org/W14-0139.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 Seventh Global Wordnet Conference","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/W14-0139.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5059604503","display_name":"Shu\u2010Kai Hsieh","orcid":"https://orcid.org/0000-0001-9674-1249"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]},{"id":"https://openalex.org/I4210150104","display_name":"Institute of Linguistics, Academia Sinica","ror":"https://ror.org/05r183591","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210150104","https://openalex.org/I84653119"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Shu-Kai Hsieh","raw_affiliation_strings":["Graduate Institute of Linguistics National Taiwan University Taipei , Taiwan","National Taiwan University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate Institute of Linguistics National Taiwan University Taipei , Taiwan","institution_ids":["https://openalex.org/I16733864","https://openalex.org/I4210150104"]},{"raw_affiliation_string":"National Taiwan University","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009371832","display_name":"Yu\u2010Yun Chang","orcid":"https://orcid.org/0000-0002-8699-5402"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]},{"id":"https://openalex.org/I4210150104","display_name":"Institute of Linguistics, Academia Sinica","ror":"https://ror.org/05r183591","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210150104","https://openalex.org/I84653119"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yu-Yun Chang","raw_affiliation_strings":["Graduate Institute of Linguistics National Taiwan University Taipei , Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate Institute of Linguistics National Taiwan University Taipei , Taiwan","institution_ids":["https://openalex.org/I16733864","https://openalex.org/I4210150104"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"283","last_page":"289"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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/T10181","display_name":"Natural Language Processing Techniques","score":0.9995999932289124,"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":0.9980000257492065,"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/wordnet","display_name":"WordNet","score":0.8663734793663025},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7952890396118164},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6075654029846191},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5957514047622681},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.594075083732605},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.5925639271736145},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.4987320899963379},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.4301193058490753},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.42772185802459717},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.40341147780418396},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.0780649185180664},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.07340142130851746}],"concepts":[{"id":"https://openalex.org/C157659113","wikidata":"https://www.wikidata.org/wiki/Q533822","display_name":"WordNet","level":2,"score":0.8663734793663025},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7952890396118164},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6075654029846191},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5957514047622681},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.594075083732605},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.5925639271736145},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.4987320899963379},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.4301193058490753},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.42772185802459717},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.40341147780418396},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.0780649185180664},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.07340142130851746},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.18653/v1/w14-0139","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w14-0139","pdf_url":"https://aclanthology.org/W14-0139.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 Seventh Global Wordnet Conference","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.672.3145","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.672.3145","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://anthology.aclweb.org/W/W14/W14-0139.pdf","raw_type":"text"},{"id":"mag:2251982117","is_oa":false,"landing_page_url":"https://aclanthology.org/W14-0139/","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"doi:10.18653/v1/w14-0139","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w14-0139","pdf_url":"https://aclanthology.org/W14-0139.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 Seventh Global Wordnet Conference","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2251982117.pdf","grobid_xml":"https://content.openalex.org/works/W2251982117.grobid-xml"},"referenced_works_count":13,"referenced_works":["https://openalex.org/W13171135","https://openalex.org/W16160742","https://openalex.org/W74886536","https://openalex.org/W1975879668","https://openalex.org/W2047709008","https://openalex.org/W2056321066","https://openalex.org/W2068737686","https://openalex.org/W2074523946","https://openalex.org/W2137023796","https://openalex.org/W2214974779","https://openalex.org/W2401751179","https://openalex.org/W2602959712","https://openalex.org/W2800548391"],"related_works":["https://openalex.org/W3088330127","https://openalex.org/W128995279","https://openalex.org/W2250428999","https://openalex.org/W2252027921","https://openalex.org/W2756605303","https://openalex.org/W2015973145","https://openalex.org/W3023659727","https://openalex.org/W2149443356","https://openalex.org/W2266617923","https://openalex.org/W2922419330","https://openalex.org/W2003668018","https://openalex.org/W2015434962","https://openalex.org/W2757941844","https://openalex.org/W2045854316","https://openalex.org/W1886172393","https://openalex.org/W1587069193","https://openalex.org/W2241711179","https://openalex.org/W2501224536","https://openalex.org/W2250814652","https://openalex.org/W2396668038"],"abstract_inverted_index":{"Semantic":[0],"relations":[1,49,81,109],"of":[2,26,32,62,73,75],"different":[3],"types":[4],"have":[5,13],"played":[6],"an":[7,41,63],"important":[8],"role":[9],"in":[10,17,30,53,57,96],"wordnet,":[11],"and":[12],"been":[14],"widely":[15],"recognized":[16],"various":[18],"fields.In":[19],"recent":[20],"years,":[21],"with":[22,98],"the":[23,52,106],"growing":[24],"interests":[25],"constructing":[27],"semantic":[28,36,48],"network":[29],"support":[31],"intelligent":[33],"systems,":[34],"automatic":[35],"relation":[37],"discovery":[38],"has":[39],"become":[40],"urgent":[42],"task.This":[43],"paper":[44],"aims":[45],"to":[46],"extract":[47],"relying":[50],"on":[51],"situ":[54],"morpho-semantic":[55],"structure":[56],"Chinese":[58],"which":[59,101],"can":[60,82,89],"dispense":[61],"outside":[64],"source":[65],"such":[66],"as":[67,91],"corpus":[68],"or":[69],"web":[70],"data.Manual":[71],"evaluation":[72],"thousands":[74],"word":[76],"pairs":[77],"shows":[78],"that":[79,87],"most":[80],"be":[83],"successful":[84],"predicted.We":[85],"believe":[86],"it":[88],"serve":[90],"a":[92],"valuable":[93],"starting":[94],"point":[95],"complementing":[97],"other":[99],"approaches,":[100],"will":[102],"hold":[103],"promise":[104],"for":[105],"robust":[107],"lexical":[108],"acquisition.":[110]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2016-06-24T00:00:00"}
