{"id":"https://openalex.org/W2756748969","doi":"https://doi.org/10.18653/v1/w17-4114","title":"Character-based Bidirectional LSTM-CRF with words and characters for Japanese Named Entity Recognition","display_name":"Character-based Bidirectional LSTM-CRF with words and characters for Japanese Named Entity Recognition","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2756748969","doi":"https://doi.org/10.18653/v1/w17-4114","mag":"2756748969"},"language":"en","primary_location":{"id":"doi:10.18653/v1/w17-4114","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w17-4114","pdf_url":"https://www.aclweb.org/anthology/W17-4114.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the First Workshop on Subword and Character Level Models in NLP","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/W17-4114.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5037524138","display_name":"Shotaro Misawa","orcid":null},"institutions":[{"id":"https://openalex.org/I15009632","display_name":"Fuji Xerox (Japan)","ror":"https://ror.org/02w528w58","country_code":"JP","type":"company","lineage":["https://openalex.org/I15009632"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shotaro Misawa","raw_affiliation_strings":["Fuji Xerox Co., Ltd"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fuji Xerox Co., Ltd","institution_ids":["https://openalex.org/I15009632"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102324915","display_name":"Motoki Taniguchi","orcid":null},"institutions":[{"id":"https://openalex.org/I15009632","display_name":"Fuji Xerox (Japan)","ror":"https://ror.org/02w528w58","country_code":"JP","type":"company","lineage":["https://openalex.org/I15009632"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Motoki Taniguchi","raw_affiliation_strings":["Fuji Xerox Co., Ltd"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fuji Xerox Co., Ltd","institution_ids":["https://openalex.org/I15009632"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084720611","display_name":"Yasuhide Miura","orcid":null},"institutions":[{"id":"https://openalex.org/I15009632","display_name":"Fuji Xerox (Japan)","ror":"https://ror.org/02w528w58","country_code":"JP","type":"company","lineage":["https://openalex.org/I15009632"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yasuhide Miura","raw_affiliation_strings":["Fuji Xerox Co., Ltd"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fuji Xerox Co., Ltd","institution_ids":["https://openalex.org/I15009632"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037841139","display_name":"Tomoko Ohkuma","orcid":"https://orcid.org/0000-0002-5078-4814"},"institutions":[{"id":"https://openalex.org/I15009632","display_name":"Fuji Xerox (Japan)","ror":"https://ror.org/02w528w58","country_code":"JP","type":"company","lineage":["https://openalex.org/I15009632"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tomoko Ohkuma","raw_affiliation_strings":["Fuji Xerox Co., Ltd"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fuji Xerox Co., Ltd","institution_ids":["https://openalex.org/I15009632"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I15009632"],"apc_list":null,"apc_paid":null,"fwci":5.7618,"has_fulltext":true,"cited_by_count":68,"citation_normalized_percentile":{"value":0.97290315,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":100},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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/T10028","display_name":"Topic Modeling","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/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/T11550","display_name":"Text and Document Classification Technologies","score":0.9868000149726868,"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":0.8198829293251038},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.7477627396583557},{"id":"https://openalex.org/keywords/character","display_name":"Character (mathematics)","score":0.7386495471000671},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7261627912521362},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6953673362731934},{"id":"https://openalex.org/keywords/named-entity-recognition","display_name":"Named-entity recognition","score":0.5266537666320801},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4126850366592407},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.17264020442962646},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07060423493385315},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.06764233112335205}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8198829293251038},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.7477627396583557},{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.7386495471000671},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7261627912521362},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6953673362731934},{"id":"https://openalex.org/C2779135771","wikidata":"https://www.wikidata.org/wiki/Q403574","display_name":"Named-entity recognition","level":3,"score":0.5266537666320801},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4126850366592407},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.17264020442962646},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07060423493385315},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.06764233112335205},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/w17-4114","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w17-4114","pdf_url":"https://www.aclweb.org/anthology/W17-4114.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the First Workshop on Subword and Character Level Models in NLP","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/w17-4114","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w17-4114","pdf_url":"https://www.aclweb.org/anthology/W17-4114.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the First Workshop on Subword and Character Level Models in NLP","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.5699999928474426,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2756748969.pdf","grobid_xml":"https://content.openalex.org/works/W2756748969.grobid-xml"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W178774507","https://openalex.org/W182104056","https://openalex.org/W1522301498","https://openalex.org/W1614298861","https://openalex.org/W1940872118","https://openalex.org/W1951325712","https://openalex.org/W1967350923","https://openalex.org/W1976339715","https://openalex.org/W1993607282","https://openalex.org/W2077941393","https://openalex.org/W2079735306","https://openalex.org/W2123512824","https://openalex.org/W2144578941","https://openalex.org/W2158899491","https://openalex.org/W2226734577","https://openalex.org/W2251272256","https://openalex.org/W2251587665","https://openalex.org/W2296283641","https://openalex.org/W2401534278","https://openalex.org/W2404235285","https://openalex.org/W2510830743","https://openalex.org/W2552553554","https://openalex.org/W2574163994","https://openalex.org/W2950577311","https://openalex.org/W2952087486","https://openalex.org/W2952230511","https://openalex.org/W2962902328","https://openalex.org/W2963625095","https://openalex.org/W2963682821","https://openalex.org/W2964121744","https://openalex.org/W4297748452"],"related_works":["https://openalex.org/W2078793151","https://openalex.org/W3017222382","https://openalex.org/W3128216712","https://openalex.org/W3136915866","https://openalex.org/W2886890203","https://openalex.org/W4390279576","https://openalex.org/W4313535650","https://openalex.org/W2287770975","https://openalex.org/W2991463832","https://openalex.org/W3215585698"],"abstract_inverted_index":{"Recently,":[0],"neural":[1,58,119,143],"models":[2,9,14,33,59],"have":[3,34],"shown":[4],"superior":[5],"performance":[6],"over":[7],"conventional":[8],"in":[10,49,147],"NER":[11,56,112,145],"tasks.":[12],"These":[13],"use":[15],"CNN":[16,69],"to":[17,24],"extract":[18,87],"sub-word":[19,75],"information":[20],"along":[21],"with":[22],"RNN":[23],"predict":[25],"a":[26,78,81,91,94,118,123],"tag":[27,82,124],"for":[28,72,83,114,121,125],"each":[29,84,126],"word.":[30],"However,":[31],"these":[32],"been":[35],"tested":[36],"almost":[37],"entirely":[38],"on":[39,54],"English":[40,144],"texts.":[41],"It":[42],"remains":[43],"unclear":[44],"whether":[45],"they":[46],"perform":[47],"similarly":[48],"other":[50],"languages.":[51],"We":[52],"worked":[53],"Japanese":[55,74],"using":[57,128],"and":[60,130],"discovered":[61],"two":[62],"obstacles":[63],"of":[64,93,101,109],"the":[65,107,110,141],"state-ofthe-art":[66],"model.":[67],"First,":[68],"is":[70],"unsuitable":[71],"extracting":[73],"information.":[76,132],"Secondly,":[77],"model":[79,113,120,139,146],"predicting":[80,122],"word":[85,95,129],"cannot":[86],"an":[88,97],"entity":[89],"when":[90],"part":[92],"composes":[96],"entity.":[98],"The":[99],"contributions":[100],"this":[102],"work":[103],"are":[104],"(i)":[105],"verifying":[106],"effectiveness":[108],"state-of-theart":[111],"Japanese,":[115],"(ii)":[116],"proposing":[117],"character":[127,131],"Experimentally":[133],"obtained":[134],"results":[135],"demonstrate":[136],"that":[137],"our":[138],"outperforms":[140],"state-of-the-art":[142],"Japanese.":[148]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":16},{"year":2019,"cited_by_count":14},{"year":2018,"cited_by_count":12}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}
