{"id":"https://openalex.org/W2080058562","doi":"https://doi.org/10.1109/iske.2008.4731016","title":"A feature extraction method using base phrase and keyword in Chinese text","display_name":"A feature extraction method using base phrase and keyword in Chinese text","publication_year":2008,"publication_date":"2008-11-01","ids":{"openalex":"https://openalex.org/W2080058562","doi":"https://doi.org/10.1109/iske.2008.4731016","mag":"2080058562"},"language":"en","primary_location":{"id":"doi:10.1109/iske.2008.4731016","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iske.2008.4731016","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 3rd International Conference on Intelligent System 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/A5103018982","display_name":"Xinfu Li","orcid":"https://orcid.org/0000-0003-1599-8072"},"institutions":[{"id":"https://openalex.org/I43337087","display_name":"Hebei University","ror":"https://ror.org/01p884a79","country_code":"CN","type":"education","lineage":["https://openalex.org/I43337087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin-fu Li","raw_affiliation_strings":["College of Mathematics and Computer Science, Key Laboratory of Machine Learning and Computation Intelligence of Hebei, Hebei University, Baoding, Hebei, China","Coll. of Math. & Comput. Sci., HeBei Univ., Baoding, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mathematics and Computer Science, Key Laboratory of Machine Learning and Computation Intelligence of Hebei, Hebei University, Baoding, Hebei, China","institution_ids":["https://openalex.org/I43337087"]},{"raw_affiliation_string":"Coll. of Math. & Comput. Sci., HeBei Univ., Baoding, China","institution_ids":["https://openalex.org/I43337087"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070241192","display_name":"Lei-Lei Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I43337087","display_name":"Hebei University","ror":"https://ror.org/01p884a79","country_code":"CN","type":"education","lineage":["https://openalex.org/I43337087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"lei-lei Zhao","raw_affiliation_strings":["College of Mathematics and Computer Science, Key Laboratory of Machine Learning and Computation Intelligence of Hebei, Hebei University, Baoding, Hebei, China","Coll. of Math. & Comput. Sci., HeBei Univ., Baoding, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mathematics and Computer Science, Key Laboratory of Machine Learning and Computation Intelligence of Hebei, Hebei University, Baoding, Hebei, China","institution_ids":["https://openalex.org/I43337087"]},{"raw_affiliation_string":"Coll. of Math. & Comput. Sci., HeBei Univ., Baoding, China","institution_ids":["https://openalex.org/I43337087"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046602006","display_name":"li-hong Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I43337087","display_name":"Hebei University","ror":"https://ror.org/01p884a79","country_code":"CN","type":"education","lineage":["https://openalex.org/I43337087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"li-hong Wu","raw_affiliation_strings":["College of Mathematics and Computer Science, Key Laboratory of Machine Learning and Computation Intelligence of Hebei, Hebei University, Baoding, Hebei, China","Coll. of Math. & Comput. Sci., HeBei Univ., Baoding, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mathematics and Computer Science, Key Laboratory of Machine Learning and Computation Intelligence of Hebei, Hebei University, Baoding, Hebei, China","institution_ids":["https://openalex.org/I43337087"]},{"raw_affiliation_string":"Coll. of Math. & Comput. Sci., HeBei Univ., Baoding, China","institution_ids":["https://openalex.org/I43337087"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I43337087"],"apc_list":null,"apc_paid":null,"fwci":0.2518,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.46798939,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"680","last_page":"684"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9966999888420105,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9966999888420105,"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":0.9921000003814697,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9901999831199646,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/phrase","display_name":"Phrase","score":0.7880545258522034},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7809863090515137},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6885250806808472},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6796644926071167},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6492027640342712},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6128220558166504},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.570348858833313},{"id":"https://openalex.org/keywords/keyword-extraction","display_name":"Keyword extraction","score":0.5004706382751465},{"id":"https://openalex.org/keywords/syntax","display_name":"Syntax","score":0.46141326427459717},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.4327707290649414},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3830454647541046},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.14489802718162537}],"concepts":[{"id":"https://openalex.org/C2776224158","wikidata":"https://www.wikidata.org/wiki/Q187931","display_name":"Phrase","level":2,"score":0.7880545258522034},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7809863090515137},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6885250806808472},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6796644926071167},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6492027640342712},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6128220558166504},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.570348858833313},{"id":"https://openalex.org/C2780288562","wikidata":"https://www.wikidata.org/wiki/Q25053353","display_name":"Keyword extraction","level":2,"score":0.5004706382751465},{"id":"https://openalex.org/C60048249","wikidata":"https://www.wikidata.org/wiki/Q37437","display_name":"Syntax","level":2,"score":0.46141326427459717},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.4327707290649414},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3830454647541046},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.14489802718162537},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iske.2008.4731016","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iske.2008.4731016","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 3rd International Conference on Intelligent System and Knowledge Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.6700000166893005,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1978394996","https://openalex.org/W2031762086","https://openalex.org/W2075006521","https://openalex.org/W2116780029","https://openalex.org/W2118020653","https://openalex.org/W2372424341","https://openalex.org/W2384035842","https://openalex.org/W2386371667","https://openalex.org/W2392751890","https://openalex.org/W2435251607","https://openalex.org/W3005759214"],"related_works":["https://openalex.org/W2165912799","https://openalex.org/W2735662278","https://openalex.org/W2382615723","https://openalex.org/W4311804456","https://openalex.org/W1987484445","https://openalex.org/W2623658258","https://openalex.org/W2143413548","https://openalex.org/W2166781037","https://openalex.org/W2355481812","https://openalex.org/W3014300186"],"abstract_inverted_index":{"The":[0,11,32,87,98],"feature":[1,17,33,43,58,92,111],"extraction":[2,34,44,93,112],"is":[3,13,30],"the":[4,16,19,27,42,54,57,75,85,117],"most":[5],"key":[6],"technology":[7],"of":[8,45,59,77],"text":[9,21,28,47,118],"categorization.":[10],"word":[12,95],"used":[14],"as":[15],"in":[18,84],"traditional":[20,110],"classification,":[22],"and":[23,39,50,61,63,70,121],"its":[24],"effect":[25],"for":[26],"classification":[29,119],"evidence.":[31],"method":[35,104],"using":[36],"base":[37],"phrase":[38],"keyword":[40],"changes":[41],"Chinese":[46],"from":[48,94],"syntax":[49],"semantic":[51],"further.":[52],"In":[53],"first,":[55],"analyzing":[56],"baseNP":[60,69],"basedVP,":[62],"then":[64],"make":[65],"some":[66],"words":[67,83],"into":[68],"baseVP":[71],"which":[72],"accord":[73],"to":[74,81,96],"rules":[76],"phrase,":[78],"give":[79],"WSD":[80],"other":[82],"finally.":[86],"paper":[88],"proposes":[89],"a":[90],"stepwise":[91],"phrase.":[97],"experiment":[99],"results":[100],"show":[101],"that":[102],"this":[103],"can":[105,115],"perform":[106],"much":[107],"better":[108],"than":[109],"method,":[113],"it":[114],"improve":[116],"precision":[120],"recall.":[122]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
