{"id":"https://openalex.org/W3091349985","doi":"https://doi.org/10.1109/ijcnn48605.2020.9207682","title":"Adversarial Named Entity Recognition with POS label embedding","display_name":"Adversarial Named Entity Recognition with POS label embedding","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3091349985","doi":"https://doi.org/10.1109/ijcnn48605.2020.9207682","mag":"3091349985"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn48605.2020.9207682","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9207682","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","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/A5060058467","display_name":"Yuxuan Bai","orcid":"https://orcid.org/0000-0001-7144-9452"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuxuan Bai","raw_affiliation_strings":["Nanjing University of Posts and Telecommunications, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071054399","display_name":"Yu Wang","orcid":"https://orcid.org/0000-0003-1606-6795"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Wang","raw_affiliation_strings":["Nanjing University of Posts and Telecommunications, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057056828","display_name":"Bin Xia","orcid":"https://orcid.org/0000-0001-9519-6517"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Xia","raw_affiliation_strings":["Nanjing University of Posts and Telecommunications, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057838181","display_name":"Yun Li","orcid":"https://orcid.org/0000-0003-4442-3825"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yun Li","raw_affiliation_strings":["Nanjing University of Posts and Telecommunications, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049800310","display_name":"Ziye Zhu","orcid":"https://orcid.org/0000-0001-6072-4738"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziye Zhu","raw_affiliation_strings":["Nanjing University of Posts and Telecommunications, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5060058467"],"corresponding_institution_ids":["https://openalex.org/I41198531"],"apc_list":null,"apc_paid":null,"fwci":0.5302,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.73176695,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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/T10028","display_name":"Topic Modeling","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/T10181","display_name":"Natural Language Processing Techniques","score":0.9988999962806702,"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/T12380","display_name":"Authorship Attribution and Profiling","score":0.974399983882904,"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":0.7263383865356445},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6875779628753662},{"id":"https://openalex.org/keywords/named-entity-recognition","display_name":"Named-entity recognition","score":0.652328372001648},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.6013020873069763},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5948477983474731},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5518985390663147},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39683765172958374},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.37371575832366943},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06512141227722168}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7263383865356445},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6875779628753662},{"id":"https://openalex.org/C2779135771","wikidata":"https://www.wikidata.org/wiki/Q403574","display_name":"Named-entity recognition","level":3,"score":0.652328372001648},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.6013020873069763},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5948477983474731},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5518985390663147},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39683765172958374},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.37371575832366943},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06512141227722168},{"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/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn48605.2020.9207682","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9207682","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","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":0.4099999964237213}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W371426616","https://openalex.org/W1522301498","https://openalex.org/W1614298861","https://openalex.org/W1940872118","https://openalex.org/W2063287522","https://openalex.org/W2073078154","https://openalex.org/W2099471712","https://openalex.org/W2107598941","https://openalex.org/W2144578941","https://openalex.org/W2147218300","https://openalex.org/W2153848201","https://openalex.org/W2158899491","https://openalex.org/W2296283641","https://openalex.org/W2511131004","https://openalex.org/W2604986524","https://openalex.org/W2605215742","https://openalex.org/W2794737814","https://openalex.org/W2805097512","https://openalex.org/W2805715057","https://openalex.org/W2823875838","https://openalex.org/W2849265501","https://openalex.org/W2890459330","https://openalex.org/W2891635683","https://openalex.org/W2949134841","https://openalex.org/W2950938254","https://openalex.org/W2952087486","https://openalex.org/W2952230511","https://openalex.org/W2953127297","https://openalex.org/W2962739339","https://openalex.org/W2962788148","https://openalex.org/W2962902328","https://openalex.org/W2963338481","https://openalex.org/W2963403868","https://openalex.org/W2963560594","https://openalex.org/W2963575689","https://openalex.org/W2963625095","https://openalex.org/W2963912736","https://openalex.org/W2963997908","https://openalex.org/W2964121744","https://openalex.org/W2964185534","https://openalex.org/W2964317478","https://openalex.org/W3093419064","https://openalex.org/W4300996741","https://openalex.org/W4320013936","https://openalex.org/W4385245566","https://openalex.org/W6612627285","https://openalex.org/W6631190155","https://openalex.org/W6636510571","https://openalex.org/W6640362995","https://openalex.org/W6682707525","https://openalex.org/W6683738474","https://openalex.org/W6725448924","https://openalex.org/W6730161283","https://openalex.org/W6736175030","https://openalex.org/W6739901393","https://openalex.org/W6749856000","https://openalex.org/W6752945651","https://openalex.org/W6753030114","https://openalex.org/W6764288440"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W2078793151","https://openalex.org/W3128216712","https://openalex.org/W3017222382","https://openalex.org/W3136915866","https://openalex.org/W4390279576","https://openalex.org/W2886890203","https://openalex.org/W4313535650","https://openalex.org/W2287770975","https://openalex.org/W2947417049"],"abstract_inverted_index":{"Named":[0],"Entity":[1],"Recognition":[2],"(NER)":[3],"is":[4],"dedicated":[5],"to":[6,27,53],"recognizing":[7],"different":[8],"types":[9],"of":[10,79,108],"named":[11],"entity.":[12],"Previous":[13],"works":[14],"have":[15],"shown":[16],"that":[17,67,101],"part-of-speech,":[18],"as":[19,73,75],"an":[20],"important":[21],"feature,":[22],"provides":[23],"complementary":[24],"syntactical":[25],"information":[26],"NER":[28,94],"systems.":[29],"However,":[30],"these":[31],"studies":[32],"suffer":[33],"from":[34,46,56],"two":[35],"limitations:":[36],"(i)":[37],"the":[38,44,49,70,97,117],"previous":[39,50],"models":[40,51],"do":[41],"not":[42],"consider":[43],"noise":[45],"part-of-speech;":[47],"(ii)":[48],"need":[52],"re-extract":[54],"features":[55,81],"token":[57],"representations.":[58],"In":[59],"this":[60],"paper,":[61],"we":[62],"propose":[63],"a":[64,105,113],"novel":[65],"approach":[66],"can":[68],"alleviate":[69],"above":[71],"issues":[72],"well":[74],"make":[76],"full":[77],"use":[78],"part-of-speech":[80],"via":[82],"attention":[83],"mechanism":[84],"and":[85,96,119],"adversarial":[86],"training.":[87],"We":[88],"evaluate":[89],"our":[90,102],"model":[91,103],"on":[92,116],"three":[93],"datasets,":[95],"experimental":[98],"results":[99],"demonstrate":[100],"achieves":[104],"state-of-the-art":[106,114],"F1-score":[107],"Twitter":[109],"dataset":[110],"while":[111],"matching":[112],"performance":[115],"CoNLL-2003":[118],"Weibo":[120],"datasets.":[121]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}