{"id":"https://openalex.org/W1991696922","doi":"https://doi.org/10.3115/1119250.1119267","title":"Learning verb-noun relations to improve parsing","display_name":"Learning verb-noun relations to improve parsing","publication_year":2003,"publication_date":"2003-01-01","ids":{"openalex":"https://openalex.org/W1991696922","doi":"https://doi.org/10.3115/1119250.1119267","mag":"1991696922"},"language":"en","primary_location":{"id":"doi:10.3115/1119250.1119267","is_oa":true,"landing_page_url":"https://doi.org/10.3115/1119250.1119267","pdf_url":"https://dl.acm.org/doi/pdf/10.3115/1119250.1119267","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the second SIGHAN workshop on Chinese language processing  -","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.3115/1119250.1119267","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5112730666","display_name":"Andi Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Andi Wu","raw_affiliation_strings":["Microsoft Research, Redmond, WA"],"affiliations":[{"raw_affiliation_string":"Microsoft Research, Redmond, WA","institution_ids":["https://openalex.org/I1290206253"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5112730666"],"corresponding_institution_ids":["https://openalex.org/I1290206253"],"apc_list":null,"apc_paid":null,"fwci":0.4569,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.72935108,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"17","issue":null,"first_page":"119","last_page":"124"},"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":0.9991000294685364,"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/T12031","display_name":"Speech and dialogue systems","score":0.9897000193595886,"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":0.8054478168487549},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.7553141117095947},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.7126654982566833},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6994017958641052},{"id":"https://openalex.org/keywords/verb","display_name":"Verb","score":0.6936750411987305},{"id":"https://openalex.org/keywords/noun","display_name":"Noun","score":0.6494737267494202},{"id":"https://openalex.org/keywords/head","display_name":"Head (geology)","score":0.5122045874595642},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4798123836517334},{"id":"https://openalex.org/keywords/dependency-grammar","display_name":"Dependency grammar","score":0.41488173604011536}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8054478168487549},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.7553141117095947},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.7126654982566833},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6994017958641052},{"id":"https://openalex.org/C2776397901","wikidata":"https://www.wikidata.org/wiki/Q24905","display_name":"Verb","level":2,"score":0.6936750411987305},{"id":"https://openalex.org/C121934690","wikidata":"https://www.wikidata.org/wiki/Q1084","display_name":"Noun","level":2,"score":0.6494737267494202},{"id":"https://openalex.org/C2780312720","wikidata":"https://www.wikidata.org/wiki/Q5689100","display_name":"Head (geology)","level":2,"score":0.5122045874595642},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4798123836517334},{"id":"https://openalex.org/C164883195","wikidata":"https://www.wikidata.org/wiki/Q674834","display_name":"Dependency grammar","level":3,"score":0.41488173604011536},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C114793014","wikidata":"https://www.wikidata.org/wiki/Q52109","display_name":"Geomorphology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3115/1119250.1119267","is_oa":true,"landing_page_url":"https://doi.org/10.3115/1119250.1119267","pdf_url":"https://dl.acm.org/doi/pdf/10.3115/1119250.1119267","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the second SIGHAN workshop on Chinese language processing  -","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.3115/1119250.1119267","is_oa":true,"landing_page_url":"https://doi.org/10.3115/1119250.1119267","pdf_url":"https://dl.acm.org/doi/pdf/10.3115/1119250.1119267","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the second SIGHAN workshop on Chinese language processing  -","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.7300000190734863,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1991696922.pdf","grobid_xml":"https://content.openalex.org/works/W1991696922.grobid-xml"},"referenced_works_count":7,"referenced_works":["https://openalex.org/W1497905122","https://openalex.org/W1940278502","https://openalex.org/W1992863499","https://openalex.org/W2116780029","https://openalex.org/W2125641218","https://openalex.org/W2997757304","https://openalex.org/W6640448907"],"related_works":["https://openalex.org/W2251084681","https://openalex.org/W287510790","https://openalex.org/W2098784136","https://openalex.org/W3117798239","https://openalex.org/W2968543375","https://openalex.org/W2348405312","https://openalex.org/W2571817549","https://openalex.org/W2602782736","https://openalex.org/W1541975828","https://openalex.org/W2888625260"],"abstract_inverted_index":{"The":[0,91],"verb-noun":[1,79],"sequence":[2],"in":[3,8,19,30,85,97],"Chinese":[4],"often":[5],"creates":[6],"ambiguities":[7,11],"parsing.":[9],"These":[10],"can":[12,49],"usually":[13],"be":[14,29,50],"resolved":[15],"if":[16],"we":[17,41,74],"know":[18],"advance":[20],"whether":[21],"the":[22,25,31,35,70,98,106,109,115,118],"verb":[23],"and":[24,62,69],"noun":[26],"tend":[27],"to":[28,77],"verb-object":[32,86],"relation":[33],"or":[34,88],"modifier-head":[36,89],"relation.":[37],"In":[38],"this":[39],"paper,":[40],"describe":[42],"a":[43,59,63,66],"learning":[44],"procedure":[45],"whereby":[46],"such":[47],"knowledge":[48],"automatically":[51,119],"acquired.":[52],"Using":[53],"an":[54],"existing":[55],"(imperfect)":[56],"parser":[57,111],"with":[58,114],"chart":[60],"filter":[61],"tree":[64],"filter,":[65],"large":[67],"corpus,":[68],"log-likelihood-ratio":[71],"(LLR)":[72],"algorithm,":[73],"were":[75],"able":[76],"acquire":[78],"pairs":[80,93],"which":[81],"typically":[82],"occur":[83],"either":[84],"relations":[87],"relations.":[90],"learned":[92],"are":[94],"then":[95],"used":[96],"parsing":[99],"process":[100],"for":[101],"disambiguation.":[102],"Evaluation":[103],"shows":[104],"that":[105],"accuracy":[107],"of":[108,117],"original":[110],"improves":[112],"significantly":[113],"use":[116],"acquired":[120],"knowledge.":[121]},"counts_by_year":[{"year":2016,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}