{"id":"https://openalex.org/W2952112859","doi":"https://doi.org/10.18653/v1/p19-1524","title":"Towards Improving Neural Named Entity Recognition with Gazetteers","display_name":"Towards Improving Neural Named Entity Recognition with Gazetteers","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2952112859","doi":"https://doi.org/10.18653/v1/p19-1524","mag":"2952112859"},"language":"en","primary_location":{"id":"doi:10.18653/v1/p19-1524","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1524","pdf_url":"https://www.aclweb.org/anthology/P19-1524.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 57th Annual Meeting of the Association for Computational Linguistics","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/P19-1524.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5006525553","display_name":"Tianyu Liu","orcid":"https://orcid.org/0000-0002-1147-8427"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]},{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tianyu Liu","raw_affiliation_strings":["Microsoft Research Asia","Peking University"],"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia","institution_ids":["https://openalex.org/I4210113369"]},{"raw_affiliation_string":"Peking University","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054455207","display_name":"Jin-Ge Yao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]},{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin-Ge Yao","raw_affiliation_strings":["Microsoft Research Asia","Peking University"],"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia","institution_ids":["https://openalex.org/I4210113369"]},{"raw_affiliation_string":"Peking University","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090151187","display_name":"Chin-Yew Lin","orcid":"https://orcid.org/0000-0002-0798-6365"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]},{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chin-Yew Lin","raw_affiliation_strings":["Microsoft Research Asia","Peking University"],"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia","institution_ids":["https://openalex.org/I4210113369"]},{"raw_affiliation_string":"Peking University","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5006525553"],"corresponding_institution_ids":["https://openalex.org/I20231570","https://openalex.org/I4210113369"],"apc_list":null,"apc_paid":null,"fwci":10.3613,"has_fulltext":true,"cited_by_count":105,"citation_normalized_percentile":{"value":0.98522621,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"5301","last_page":"5307"},"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":0.9998000264167786,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9354000091552734,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/overfitting","display_name":"Overfitting","score":0.9135960340499878},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7972174882888794},{"id":"https://openalex.org/keywords/named-entity-recognition","display_name":"Named-entity recognition","score":0.6924850344657898},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.57093346118927},{"id":"https://openalex.org/keywords/limiting","display_name":"Limiting","score":0.5267557501792908},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5117037296295166},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.49594101309776306},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.45309901237487793},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4231334924697876},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0893963873386383}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.9135960340499878},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7972174882888794},{"id":"https://openalex.org/C2779135771","wikidata":"https://www.wikidata.org/wiki/Q403574","display_name":"Named-entity recognition","level":3,"score":0.6924850344657898},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.57093346118927},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.5267557501792908},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5117037296295166},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.49594101309776306},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.45309901237487793},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4231334924697876},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0893963873386383},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"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/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"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:10.18653/v1/p19-1524","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1524","pdf_url":"https://www.aclweb.org/anthology/P19-1524.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 57th Annual Meeting of the Association for Computational Linguistics","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/p19-1524","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1524","pdf_url":"https://www.aclweb.org/anthology/P19-1524.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 57th Annual Meeting of the Association for Computational Linguistics","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.550000011920929,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2952112859.pdf","grobid_xml":"https://content.openalex.org/works/W2952112859.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W2004763266","https://openalex.org/W2103076621","https://openalex.org/W2144578941","https://openalex.org/W2147880316","https://openalex.org/W2158188757","https://openalex.org/W2250539671","https://openalex.org/W2251559320","https://openalex.org/W2287914047","https://openalex.org/W2296283641","https://openalex.org/W2474198877","https://openalex.org/W2756381707","https://openalex.org/W2775287156","https://openalex.org/W2806070455","https://openalex.org/W2880875857","https://openalex.org/W2891383691","https://openalex.org/W2891602716","https://openalex.org/W2896457183","https://openalex.org/W2952087486","https://openalex.org/W2962676330","https://openalex.org/W2962739339","https://openalex.org/W2962875366","https://openalex.org/W2962902328","https://openalex.org/W2962906565","https://openalex.org/W2963341956","https://openalex.org/W2963369167","https://openalex.org/W2963625095","https://openalex.org/W2964266863","https://openalex.org/W2964269722","https://openalex.org/W4294635415"],"related_works":["https://openalex.org/W1574414179","https://openalex.org/W4362597605","https://openalex.org/W3009056573","https://openalex.org/W2922073769","https://openalex.org/W4297676672","https://openalex.org/W4281702477","https://openalex.org/W4378510483","https://openalex.org/W4376166922","https://openalex.org/W2490526372","https://openalex.org/W4221142204"],"abstract_inverted_index":{"Most":[0],"of":[1,22,38,52],"the":[2,23,36,41,49,61,86],"recently":[3,87],"proposed":[4,88],"neural":[5,77],"models":[6,42],"for":[7,25],"named":[8],"entity":[9],"recognition":[10],"have":[11],"been":[12],"purely":[13],"data-driven,":[14],"with":[15],"a":[16,82],"strong":[17],"emphasis":[18],"on":[19,85],"getting":[20],"rid":[21],"efforts":[24],"collecting":[26],"external":[27,72],"resources":[28],"or":[29],"designing":[30],"hand-crafted":[31],"features.":[32],"This":[33],"could":[34,74],"increase":[35],"chance":[37],"overfitting":[39],"since":[40],"cannot":[43],"access":[44],"any":[45],"supervision":[46],"signal":[47],"beyond":[48,60],"small":[50],"amount":[51],"annotated":[53,62],"data,":[54],"limiting":[55],"their":[56],"power":[57],"to":[58],"generalize":[59],"entities.":[63],"In":[64],"this":[65],"work,":[66],"we":[67],"show":[68],"that":[69],"properly":[70],"utilizing":[71],"gazetteers":[73],"benefit":[75],"segmental":[76],"NER":[78],"models.":[79],"We":[80],"add":[81],"simple":[83],"module":[84],"hybrid":[89],"semi-Markov":[90],"CRF":[91],"architecture":[92],"and":[93],"observe":[94],"some":[95],"promising":[96],"results.":[97]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":17},{"year":2022,"cited_by_count":18},{"year":2021,"cited_by_count":31},{"year":2020,"cited_by_count":22},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
