{"id":"https://openalex.org/W3034732033","doi":"https://doi.org/10.24963/ijcai.2020/497","title":"Attention-based Multi-level Feature Fusion for Named Entity Recognition","display_name":"Attention-based Multi-level Feature Fusion for Named Entity Recognition","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3034732033","doi":"https://doi.org/10.24963/ijcai.2020/497","mag":"3034732033"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2020/497","is_oa":false,"landing_page_url":"https://doi.org/10.24963/ijcai.2020/497","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence","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/A5051367545","display_name":"Zhiwei Yang","orcid":"https://orcid.org/0000-0002-0534-158X"},"institutions":[{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"funder","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]},{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhiwei Yang","raw_affiliation_strings":["College of Computer Science and Technology, Jilin University, Changchun, China","Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I4210134929","https://openalex.org/I194450716"]},{"raw_affiliation_string":"Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, China","institution_ids":["https://openalex.org/I1327237609"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108294333","display_name":"Hechang Chen","orcid":"https://orcid.org/0000-0001-7835-9556"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"funder","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hechang Chen","raw_affiliation_strings":["Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, China","School of Artificial Intelligence, Jilin University, Changchun, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, China","institution_ids":["https://openalex.org/I1327237609"]},{"raw_affiliation_string":"School of Artificial Intelligence, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100462824","display_name":"Jiawei Zhang","orcid":"https://orcid.org/0000-0002-2111-7617"},"institutions":[{"id":"https://openalex.org/I103163165","display_name":"Florida State University","ror":"https://ror.org/05g3dte14","country_code":"US","type":"education","lineage":["https://openalex.org/I103163165"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiawei Zhang","raw_affiliation_strings":["IFM Lab, Department of Computer Science, Florida State University, Tallahassee FL, USA"],"affiliations":[{"raw_affiliation_string":"IFM Lab, Department of Computer Science, Florida State University, Tallahassee FL, USA","institution_ids":["https://openalex.org/I103163165"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034823980","display_name":"Jing Ma","orcid":"https://orcid.org/0000-0002-7464-8331"},"institutions":[{"id":"https://openalex.org/I141568987","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131","country_code":"HK","type":"education","lineage":["https://openalex.org/I141568987"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Jing Ma","raw_affiliation_strings":["Department of Computer Science, Hong Kong Baptist University, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Hong Kong Baptist University, Hong Kong, China","institution_ids":["https://openalex.org/I141568987"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029392006","display_name":"Yi Chang","orcid":"https://orcid.org/0000-0003-2697-8093"},"institutions":[{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"funder","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I4210164189","display_name":"Jilin International Studies University","ror":"https://ror.org/05mvcw862","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210164189"]},{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Chang","raw_affiliation_strings":["International Center of Future Science, Jilin University, Changchun, China","Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, China","School of Artificial Intelligence, Jilin University, Changchun, China"],"affiliations":[{"raw_affiliation_string":"International Center of Future Science, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I4210164189","https://openalex.org/I194450716"]},{"raw_affiliation_string":"Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, China","institution_ids":["https://openalex.org/I1327237609"]},{"raw_affiliation_string":"School of Artificial Intelligence, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5051367545"],"corresponding_institution_ids":["https://openalex.org/I1327237609","https://openalex.org/I194450716","https://openalex.org/I4210134929"],"apc_list":null,"apc_paid":null,"fwci":1.9884,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.89068875,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"3594","last_page":"3600"},"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":0.9997000098228455,"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":0.9807999730110168,"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":0.8438409566879272},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7027418613433838},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.690016508102417},{"id":"https://openalex.org/keywords/named-entity-recognition","display_name":"Named-entity recognition","score":0.68268221616745},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6066921353340149},{"id":"https://openalex.org/keywords/word-embedding","display_name":"Word embedding","score":0.6020949482917786},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.5957158207893372},{"id":"https://openalex.org/keywords/character","display_name":"Character (mathematics)","score":0.5853701233863831},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5586768984794617},{"id":"https://openalex.org/keywords/sequence-labeling","display_name":"Sequence labeling","score":0.5526151657104492},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.505256712436676},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4726913273334503},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.4380873739719391},{"id":"https://openalex.org/keywords/entity-linking","display_name":"Entity linking","score":0.4353156089782715},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.1549329161643982},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.1010512113571167}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8438409566879272},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7027418613433838},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.690016508102417},{"id":"https://openalex.org/C2779135771","wikidata":"https://www.wikidata.org/wiki/Q403574","display_name":"Named-entity recognition","level":3,"score":0.68268221616745},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6066921353340149},{"id":"https://openalex.org/C2777462759","wikidata":"https://www.wikidata.org/wiki/Q18395344","display_name":"Word embedding","level":3,"score":0.6020949482917786},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.5957158207893372},{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.5853701233863831},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5586768984794617},{"id":"https://openalex.org/C35639132","wikidata":"https://www.wikidata.org/wiki/Q7452468","display_name":"Sequence labeling","level":3,"score":0.5526151657104492},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.505256712436676},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4726913273334503},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.4380873739719391},{"id":"https://openalex.org/C96711827","wikidata":"https://www.wikidata.org/wiki/Q17012245","display_name":"Entity linking","level":3,"score":0.4353156089782715},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.1549329161643982},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.1010512113571167},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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:10.24963/ijcai.2020/497","is_oa":false,"landing_page_url":"https://doi.org/10.24963/ijcai.2020/497","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.5799999833106995}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1938755728","https://openalex.org/W1940872118","https://openalex.org/W2047782770","https://openalex.org/W2133564696","https://openalex.org/W2144578941","https://openalex.org/W2169099542","https://openalex.org/W2194775991","https://openalex.org/W2250539671","https://openalex.org/W2295030615","https://openalex.org/W2296283641","https://openalex.org/W2528773445","https://openalex.org/W2559281960","https://openalex.org/W2574163994","https://openalex.org/W2756381707","https://openalex.org/W2805715057","https://openalex.org/W2880875857","https://openalex.org/W2951559648","https://openalex.org/W2952087486","https://openalex.org/W2952230511","https://openalex.org/W2962676330","https://openalex.org/W2962902328","https://openalex.org/W2962941447","https://openalex.org/W2963403868","https://openalex.org/W2963625095","https://openalex.org/W2963718112","https://openalex.org/W2963971244","https://openalex.org/W2964308564","https://openalex.org/W2970771982","https://openalex.org/W2971019153","https://openalex.org/W3105491236","https://openalex.org/W4385245566"],"related_works":["https://openalex.org/W2995533411","https://openalex.org/W2988804282","https://openalex.org/W2952732525","https://openalex.org/W2405038964","https://openalex.org/W2100724275","https://openalex.org/W1889584887","https://openalex.org/W1607093392","https://openalex.org/W4384642434","https://openalex.org/W3137145434","https://openalex.org/W2949267551"],"abstract_inverted_index":{"Named":[0],"entity":[1],"recognition":[2,28],"(NER)":[3],"is":[4,89],"a":[5,79,127,148],"fundamental":[6],"task":[7],"in":[8],"the":[9,93,111,131],"natural":[10],"language":[11],"processing":[12],"(NLP)":[13],"area.":[14],"Recently,":[15],"representation":[16],"learning":[17],"methods":[18],"(e.g.,":[19,50],"character":[20],"embedding":[21],"and":[22,47,118],"word":[23],"embedding)":[24],"have":[25],"achieved":[26],"promising":[27],"results.":[29],"However,":[30],"existing":[31],"models":[32],"only":[33],"consider":[34],"partial":[35],"features":[36,63,95],"derived":[37],"from":[38,58,71,96],"words":[39],"or":[40],"characters":[41],"while":[42],"failing":[43],"to":[44,91,99,108],"integrate":[45],"semantic":[46],"syntactic":[48],"information":[49],"capitalization,":[51],"inter-word":[52],"relations,":[53],"keywords,":[54],"lexical":[55],"phrases,":[56],"etc.)":[57],"multi-level":[59,62,84,94],"perspectives.":[60],"Intuitively,":[61],"can":[64],"be":[65],"helpful":[66],"when":[67],"recognizing":[68],"named":[69],"entities":[70],"complex":[72],"sentences.":[73],"In":[74],"this":[75],"study,":[76],"we":[77],"propose":[78],"novel":[80],"framework":[81],"called":[82],"attention-based":[83],"feature":[85],"fusion":[86],"(AMFF),":[87],"which":[88,122],"used":[90],"capture":[92,110],"different":[97],"perspectives":[98],"improve":[100],"NER.":[101],"Our":[102],"model":[103,146],"consists":[104],"of":[105,150],"four":[106,139],"components":[107],"respectively":[109],"local":[112,116],"character-level,":[113,115],"global":[114,119],"word-level,":[117],"word-level":[120],"features,":[121],"are":[123],"then":[124],"fed":[125],"into":[126],"BiLSTM-CRF":[128],"network":[129],"for":[130],"final":[132],"sequence":[133],"labeling.":[134],"Extensive":[135],"experimental":[136],"results":[137],"on":[138],"benchmark":[140],"datasets":[141],"show":[142],"that":[143],"our":[144],"proposed":[145],"outperforms":[147],"set":[149],"state-of-the-art":[151],"baselines.":[152]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":8}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
