{"id":"https://openalex.org/W3103964911","doi":"https://doi.org/10.1109/crc51253.2020.9253461","title":"Patent Text Classification Study Based on Bi-LSTM-A Model","display_name":"Patent Text Classification Study Based on Bi-LSTM-A Model","publication_year":2020,"publication_date":"2020-10-16","ids":{"openalex":"https://openalex.org/W3103964911","doi":"https://doi.org/10.1109/crc51253.2020.9253461","mag":"3103964911"},"language":"en","primary_location":{"id":"doi:10.1109/crc51253.2020.9253461","is_oa":false,"landing_page_url":"https://doi.org/10.1109/crc51253.2020.9253461","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 5th International Conference on Control, Robotics and Cybernetics (CRC)","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/A5030907120","display_name":"Jinhong Wu","orcid":"https://orcid.org/0000-0001-6735-3212"},"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":true,"raw_author_name":"Jinhong Wu","raw_affiliation_strings":["School of Management, Wuhan Textile University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Management, Wuhan Textile University, Wuhan, China","institution_ids":["https://openalex.org/I4210119942"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088839435","display_name":"Caiyun Huang","orcid":null},"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":"Caiyun Huang","raw_affiliation_strings":["School of Management, Wuhan Textile University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Management, Wuhan Textile University, Wuhan, China","institution_ids":["https://openalex.org/I4210119942"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015937784","display_name":"Yongyue Chen","orcid":null},"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":"Yongyue Chen","raw_affiliation_strings":["School of Management, Wuhan Textile University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Management, Wuhan Textile University, Wuhan, China","institution_ids":["https://openalex.org/I4210119942"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5030907120"],"corresponding_institution_ids":["https://openalex.org/I4210119942"],"apc_list":null,"apc_paid":null,"fwci":0.1326,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.5613395,"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":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9775000214576721,"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":0.9775000214576721,"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":0.9567999839782715,"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/T11948","display_name":"Machine Learning in Materials Science","score":0.9117000102996826,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials 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":0.7276642918586731},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6560975313186646},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6481273174285889},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5638578534126282},{"id":"https://openalex.org/keywords/text-categorization","display_name":"Text categorization","score":0.5041323900222778},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.5001428127288818},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.48205646872520447},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4461624324321747},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4346640110015869},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.42928919196128845},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.42576634883880615},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.42520034313201904},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41678088903427124},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38222476840019226}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7276642918586731},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6560975313186646},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6481273174285889},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5638578534126282},{"id":"https://openalex.org/C2986744138","wikidata":"https://www.wikidata.org/wiki/Q302088","display_name":"Text categorization","level":3,"score":0.5041323900222778},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.5001428127288818},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.48205646872520447},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4461624324321747},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4346640110015869},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.42928919196128845},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.42576634883880615},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.42520034313201904},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41678088903427124},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38222476840019226},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/crc51253.2020.9253461","is_oa":false,"landing_page_url":"https://doi.org/10.1109/crc51253.2020.9253461","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 5th International Conference on Control, Robotics and Cybernetics (CRC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.41999998688697815}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2084319893","https://openalex.org/W2201092681","https://openalex.org/W2562607067","https://openalex.org/W2919115771"],"related_works":["https://openalex.org/W2360898036","https://openalex.org/W2390857744","https://openalex.org/W2133651098","https://openalex.org/W2390698788","https://openalex.org/W2383063829","https://openalex.org/W2138922887","https://openalex.org/W2082678934","https://openalex.org/W2035261173","https://openalex.org/W2106892947","https://openalex.org/W2237299843"],"abstract_inverted_index":{"At":[0],"present,":[1],"the":[2,13,19,29,51,54,65,68,73,90,93,100,105,112,128,136,151,169,172,180,189,192,199,202,205,217,226,239,247],"classification":[3,14,33,69,114,121,146,193,207,213,236],"of":[4,15,21,31,53,92,124,135,147,168,171,201],"patent":[5,16,55,148],"text":[6,22,59,75,160,224,244],"is":[7,23,36,44,95,131,142,154,195,250],"still":[8],"processed":[9],"manually,":[10],"but":[11],"in":[12,127,156,230],"IPC":[17],"level,":[18],"similarity":[20,60],"getting":[24],"higher":[25,235],"and":[26,28,34,46,61,76,108,133,150,175,182,222,242,246],"higher,":[27],"difficulty":[30],"subjective":[32],"categorization":[35],"increasing":[37],"one":[38],"layer":[39],"at":[40],"a":[41,234],"time,":[42],"which":[43,141],"time-consuming":[45],"laborious.":[47],"[Method]":[48],"According":[49],"to":[50,63,81,86],"characteristics":[52],"hierarchy":[56],"with":[57,99,111,158],"different":[58,83,87,223],"difficult":[62],"distinguish,":[64],"model":[66,94,130,228,249],"improves":[67],"effect":[70,194],"by":[71,97],"encoding":[72],"input":[74],"introducing":[77],"an":[78],"attention":[79],"mechanism":[80],"assign":[82],"weight":[84],"values":[85],"text.":[88],"Finally,":[89],"validity":[91],"verified":[96],"experimenting":[98],"corresponding":[101],"data":[102,170,185,218,220,240],"set":[103],"from":[104],"smart":[106],"bud":[107],"comparing":[109],"it":[110],"traditional":[113,206],"methods:":[115],"decision":[116],"tree,":[117],"SVM.":[118],"[Results]":[119],"The":[120],"accuracy":[122,237],"rate":[123],"all":[125],"levels":[126],"Bi-LSTM-A":[129,227],"good,":[132],"most":[134],"results":[137],"are":[138],"above":[139],"94%,":[140],"effective":[143],"for":[144,179,188],"automatic":[145,212],"texts,":[149],"best":[152],"performance":[153],"obtained":[155],"experiments":[157],"high":[159,243],"similarity.":[161],"[Limitations]":[162],"In":[163],"this":[164,231],"paper,":[165],"only":[166],"part":[167],"section,":[173],"class":[174],"group":[176],"were":[177,186],"collected":[178],"experiment,":[181],"not":[183],"enough":[184],"available":[187],"experiment.":[190],"If":[191],"judged":[196],"simply":[197],"on":[198],"basis":[200],"correct":[203],"rate,":[204],"algorithm":[208],"can":[209],"also":[210],"perform":[211],"better.":[214,251],"However,":[215],"considering":[216],"volume,":[219],"balance":[221],"similarity,":[225,245],"proposed":[229],"paper":[232],"has":[233],"under":[238],"imbalance":[241],"robust":[248]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
