{"id":"https://openalex.org/W2544050216","doi":"https://doi.org/10.1109/nlpke.2011.6138230","title":"A practical framework for formalizing and extracting Chinese collocations","display_name":"A practical framework for formalizing and extracting Chinese collocations","publication_year":2011,"publication_date":"2011-11-01","ids":{"openalex":"https://openalex.org/W2544050216","doi":"https://doi.org/10.1109/nlpke.2011.6138230","mag":"2544050216"},"language":"en","primary_location":{"id":"doi:10.1109/nlpke.2011.6138230","is_oa":false,"landing_page_url":"https://doi.org/10.1109/nlpke.2011.6138230","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 7th International Conference on Natural Language Processing and Knowledge Engineering","raw_type":"proceedings-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/A5054564404","display_name":"Weiguang Qu","orcid":null},"institutions":[{"id":"https://openalex.org/I152031979","display_name":"Nanjing Normal University","ror":"https://ror.org/036trcv74","country_code":"CN","type":"education","lineage":["https://openalex.org/I152031979"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Weiguang Qu","raw_affiliation_strings":["School of Computer Science, Nanjing Normal University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Nanjing Normal University, Nanjing, China","institution_ids":["https://openalex.org/I152031979"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080845656","display_name":"Xuri Tang","orcid":"https://orcid.org/0000-0002-2442-4436"},"institutions":[{"id":"https://openalex.org/I4210119942","display_name":"Wuhan Textile University","ror":"https://ror.org/02jgsf398","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210119942"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuri Tang","raw_affiliation_strings":["College of Foreign Studies, Wuhan Textile University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"College of Foreign Studies, Wuhan Textile University, Wuhan, China","institution_ids":["https://openalex.org/I4210119942"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060588302","display_name":"Junsheng Zhou","orcid":"https://orcid.org/0000-0002-1919-8227"},"institutions":[{"id":"https://openalex.org/I152031979","display_name":"Nanjing Normal University","ror":"https://ror.org/036trcv74","country_code":"CN","type":"education","lineage":["https://openalex.org/I152031979"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junsheng Zhou","raw_affiliation_strings":["School of Computer Science, Nanjing Normal University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Nanjing Normal University, Nanjing, China","institution_ids":["https://openalex.org/I152031979"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100749023","display_name":"Yanhui Gu","orcid":"https://orcid.org/0000-0002-8838-3186"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]},{"id":"https://openalex.org/I14396692","display_name":"Tokyo University of Information Sciences","ror":"https://ror.org/044bdx604","country_code":"JP","type":"education","lineage":["https://openalex.org/I14396692"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yanhui Gu","raw_affiliation_strings":["Department of Information and Communication Engineering, University of Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Information and Communication Engineering, University of Tokyo, Japan","institution_ids":["https://openalex.org/I14396692","https://openalex.org/I74801974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100365206","display_name":"Bin Li","orcid":"https://orcid.org/0000-0002-7328-9947"},"institutions":[{"id":"https://openalex.org/I152031979","display_name":"Nanjing Normal University","ror":"https://ror.org/036trcv74","country_code":"CN","type":"education","lineage":["https://openalex.org/I152031979"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Li","raw_affiliation_strings":["School of Chinese Language and Literature, Nanjing Normal University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Chinese Language and Literature, Nanjing Normal University, Nanjing, China","institution_ids":["https://openalex.org/I152031979"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5054564404"],"corresponding_institution_ids":["https://openalex.org/I152031979"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.3407758,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"20","issue":null,"first_page":"390","last_page":"396"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","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"}},"topics":[{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","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/T12031","display_name":"Speech and dialogue systems","score":0.9959999918937683,"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":0.9951000213623047,"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/collocation","display_name":"Collocation (remote sensing)","score":0.9573232531547546},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8005791902542114},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6848947405815125},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.6531795859336853},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.6493673324584961},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6001808047294617},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.48260390758514404},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.42370346188545227},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.21804630756378174},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14744353294372559},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.13873904943466187}],"concepts":[{"id":"https://openalex.org/C80023036","wikidata":"https://www.wikidata.org/wiki/Q5147531","display_name":"Collocation (remote sensing)","level":2,"score":0.9573232531547546},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8005791902542114},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6848947405815125},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.6531795859336853},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.6493673324584961},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6001808047294617},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.48260390758514404},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.42370346188545227},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.21804630756378174},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14744353294372559},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.13873904943466187},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/nlpke.2011.6138230","is_oa":false,"landing_page_url":"https://doi.org/10.1109/nlpke.2011.6138230","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 7th 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":30,"referenced_works":["https://openalex.org/W659230371","https://openalex.org/W1489348810","https://openalex.org/W1525289242","https://openalex.org/W1588643745","https://openalex.org/W1593045043","https://openalex.org/W1731244441","https://openalex.org/W1754931551","https://openalex.org/W1810799192","https://openalex.org/W1940278502","https://openalex.org/W1973972371","https://openalex.org/W2001609185","https://openalex.org/W2009477219","https://openalex.org/W2050034861","https://openalex.org/W2107540895","https://openalex.org/W2113522550","https://openalex.org/W2120429080","https://openalex.org/W2145262681","https://openalex.org/W2159637323","https://openalex.org/W2170471032","https://openalex.org/W2362791183","https://openalex.org/W2543455653","https://openalex.org/W2786047995","https://openalex.org/W6622043051","https://openalex.org/W6631433521","https://openalex.org/W6635456232","https://openalex.org/W6637672553","https://openalex.org/W6637879861","https://openalex.org/W6640448907","https://openalex.org/W6729261500","https://openalex.org/W6748094638"],"related_works":["https://openalex.org/W2370840338","https://openalex.org/W2388641108","https://openalex.org/W2368317224","https://openalex.org/W4234874385","https://openalex.org/W2370651559","https://openalex.org/W2383177152","https://openalex.org/W2142303676","https://openalex.org/W2362350383","https://openalex.org/W2331034580","https://openalex.org/W2296205523"],"abstract_inverted_index":{"In":[0],"this":[1,52],"paper":[2,53],"we":[3],"argue":[4],"for":[5,10,17,20],"a":[6,14,55,72],"word-sense":[7],"based":[8],"formalization":[9],"collocation,":[11],"and":[12],"proposes":[13],"seed-based":[15],"approach":[16,24],"collocation":[18,38,57,66],"extraction":[19,58],"specific":[21],"purposes.":[22],"The":[23,37],"uses":[25,61],"RFR_SUM":[26],"model":[27],"to":[28,64],"iteratively":[29],"classify":[30],"polysemous":[31],"word":[32],"sense":[33],"in":[34],"the":[35,47],"corpus.":[36],"strength":[39],"is":[40],"also":[41],"obtained":[42],"by":[43],"RFR.":[44],"To":[45],"capture":[46],"syntactic":[48],"relation":[49],"inside":[50],"collocations,":[51],"presents":[54],"frame-based":[56],"method,":[59],"which":[60],"word-related":[62],"frames":[63],"obtain":[65],"with":[67,75],"structural":[68],"information":[69],"automatically":[70],"from":[71],"large-scale":[73],"corpus":[74],"an":[76],"average":[77],"accuracy":[78],"rate":[79],"of":[80],"89.69%.":[81]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}