{"id":"https://openalex.org/W2070241790","doi":"https://doi.org/10.1109/nlpke.2008.4906763","title":"Exploiting salient word dependency for Chinese NP identification: A study on classifier noun phrase","display_name":"Exploiting salient word dependency for Chinese NP identification: A study on classifier noun phrase","publication_year":2008,"publication_date":"2008-10-01","ids":{"openalex":"https://openalex.org/W2070241790","doi":"https://doi.org/10.1109/nlpke.2008.4906763","mag":"2070241790"},"language":"en","primary_location":{"id":"doi:10.1109/nlpke.2008.4906763","is_oa":false,"landing_page_url":"https://doi.org/10.1109/nlpke.2008.4906763","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 International Conference on Natural Language Processing and Knowledge Engineering","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100377170","display_name":"Meng Wang","orcid":"https://orcid.org/0000-0002-5655-1464"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Wang","raw_affiliation_strings":["Institute of Computational, Linguistics Peking University, Beijing, China","Inst. of Comput., Linguistics Peking Univ., Beijing"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computational, Linguistics Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Inst. of Comput., Linguistics Peking Univ., Beijing","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052324373","display_name":"Shiwen Yu","orcid":"https://orcid.org/0000-0002-8514-3195"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiwen Yu","raw_affiliation_strings":["Institute of Computational, Linguistics Peking University, Beijing, China","Inst. of Comput., Linguistics Peking Univ., Beijing"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computational, Linguistics Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Inst. of Comput., Linguistics Peking Univ., Beijing","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034057704","display_name":"Huiming Duan","orcid":"https://orcid.org/0000-0003-3458-3905"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huiming Duan","raw_affiliation_strings":["Institute of Computational, Linguistics Peking University, Beijing, China","Inst. of Comput., Linguistics Peking Univ., Beijing"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computational, Linguistics Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Inst. of Comput., Linguistics Peking Univ., Beijing","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"4","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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/T13629","display_name":"Text Readability and Simplification","score":0.9962000250816345,"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":0.9940999746322632,"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/noun-phrase","display_name":"Noun phrase","score":0.8307414054870605},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.7109541296958923},{"id":"https://openalex.org/keywords/determiner-phrase","display_name":"Determiner phrase","score":0.7027801275253296},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.702010989189148},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6912205815315247},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6795905828475952},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6685734987258911},{"id":"https://openalex.org/keywords/phrase","display_name":"Phrase","score":0.6275599002838135},{"id":"https://openalex.org/keywords/sequence-labeling","display_name":"Sequence labeling","score":0.6025723814964294},{"id":"https://openalex.org/keywords/dependency-grammar","display_name":"Dependency grammar","score":0.5685449242591858},{"id":"https://openalex.org/keywords/noun","display_name":"Noun","score":0.5459420680999756},{"id":"https://openalex.org/keywords/subcategory","display_name":"Subcategory","score":0.5040454268455505},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.4627767503261566},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.44049346446990967},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23576298356056213}],"concepts":[{"id":"https://openalex.org/C153962237","wikidata":"https://www.wikidata.org/wiki/Q1401131","display_name":"Noun phrase","level":3,"score":0.8307414054870605},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.7109541296958923},{"id":"https://openalex.org/C88880766","wikidata":"https://www.wikidata.org/wiki/Q1201147","display_name":"Determiner phrase","level":4,"score":0.7027801275253296},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.702010989189148},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6912205815315247},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6795905828475952},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6685734987258911},{"id":"https://openalex.org/C2776224158","wikidata":"https://www.wikidata.org/wiki/Q187931","display_name":"Phrase","level":2,"score":0.6275599002838135},{"id":"https://openalex.org/C35639132","wikidata":"https://www.wikidata.org/wiki/Q7452468","display_name":"Sequence labeling","level":3,"score":0.6025723814964294},{"id":"https://openalex.org/C164883195","wikidata":"https://www.wikidata.org/wiki/Q674834","display_name":"Dependency grammar","level":3,"score":0.5685449242591858},{"id":"https://openalex.org/C121934690","wikidata":"https://www.wikidata.org/wiki/Q1084","display_name":"Noun","level":2,"score":0.5459420680999756},{"id":"https://openalex.org/C2780617661","wikidata":"https://www.wikidata.org/wiki/Q541563","display_name":"Subcategory","level":2,"score":0.5040454268455505},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.4627767503261566},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.44049346446990967},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23576298356056213},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/nlpke.2008.4906763","is_oa":false,"landing_page_url":"https://doi.org/10.1109/nlpke.2008.4906763","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 International Conference on Natural Language Processing and Knowledge Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2061271742","https://openalex.org/W2133061961","https://openalex.org/W2168289837","https://openalex.org/W2349476442","https://openalex.org/W2352699055","https://openalex.org/W6989480950"],"related_works":["https://openalex.org/W1611246314","https://openalex.org/W3210374423","https://openalex.org/W3205096625","https://openalex.org/W1494653516","https://openalex.org/W3197613252","https://openalex.org/W1547006806","https://openalex.org/W2136142206","https://openalex.org/W1507077606","https://openalex.org/W1497879013","https://openalex.org/W2334084190"],"abstract_inverted_index":{"NP":[0,84],"identification":[1,85],"is":[2,69],"a":[3,26,39,51],"challenging":[4],"subtask":[5],"of":[6,42],"NLP.":[7],"The":[8,66],"reported":[9],"literatures":[10],"mainly":[11],"focus":[12],"on":[13,38],"base":[14],"noun":[15,19,46],"phrase":[16,47],"and":[17,21,49],"maximal-length":[18],"phrase,":[20],"deal":[22],"with":[23],"them":[24],"as":[25,60,86,88],"sequence":[27],"labeling":[28],"problem.":[29],"In":[30],"this":[31],"paper,":[32],"unlike":[33],"existing":[34],"perspective,":[35],"we":[36],"concentrate":[37],"special":[40],"subcategory":[41],"Chinese":[43],"NP,":[44],"classifier":[45],"(CNP),":[48],"present":[50],"new":[52],"approach":[53],"which":[54],"uses":[55],"salient":[56,75],"word":[57],"dependency,":[58],"such":[59],"classifier-noun":[61],"collocation,":[62],"for":[63],"CNP":[64],"identification.":[65],"experiment":[67],"result":[68],"encouraging.":[70],"Our":[71],"study":[72],"shows":[73],"that":[74],"relations":[76],"between":[77],"words":[78],"should":[79],"be":[80],"fully":[81],"utilized":[82],"in":[83],"well":[87],"other":[89],"NLP":[90],"applications.":[91]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}