{"id":"https://openalex.org/W3202859983","doi":"https://doi.org/10.1145/3472634.3472667","title":"Chinese NER Using ALBERT and Multi-word Information","display_name":"Chinese NER Using ALBERT and Multi-word Information","publication_year":2021,"publication_date":"2021-07-30","ids":{"openalex":"https://openalex.org/W3202859983","doi":"https://doi.org/10.1145/3472634.3472667","mag":"3202859983"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1145/3472634.3472667","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5055964666","display_name":"Hanchen Xu","orcid":"https://orcid.org/0000-0003-2335-5421"},"institutions":[{"id":"https://openalex.org/I34949971","display_name":"University of Jinan","ror":"https://ror.org/02mjz6f26","country_code":"CN","type":"funder","lineage":["https://openalex.org/I34949971"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanchen Xu","raw_affiliation_strings":["University of Jinan, China"],"affiliations":[{"raw_affiliation_string":"University of Jinan, China","institution_ids":["https://openalex.org/I34949971"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044246017","display_name":"Zhenxiang Chen","orcid":"https://orcid.org/0000-0001-9730-768X"},"institutions":[{"id":"https://openalex.org/I34949971","display_name":"University of Jinan","ror":"https://ror.org/02mjz6f26","country_code":"CN","type":"funder","lineage":["https://openalex.org/I34949971"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenxiang Chen","raw_affiliation_strings":["University of Jinan, China"],"affiliations":[{"raw_affiliation_string":"University of Jinan, China","institution_ids":["https://openalex.org/I34949971"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100406237","display_name":"Shanshan Wang","orcid":"https://orcid.org/0000-0002-0575-6523"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"funder","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shanshan Wang","raw_affiliation_strings":["Shandong University, China"],"affiliations":[{"raw_affiliation_string":"Shandong University, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070296163","display_name":"Xiaoqing Jiang","orcid":"https://orcid.org/0000-0002-6132-4805"},"institutions":[{"id":"https://openalex.org/I34949971","display_name":"University of Jinan","ror":"https://ror.org/02mjz6f26","country_code":"CN","type":"funder","lineage":["https://openalex.org/I34949971"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoqing Jiang","raw_affiliation_strings":["University of Jinan, China"],"affiliations":[{"raw_affiliation_string":"University of Jinan, China","institution_ids":["https://openalex.org/I34949971"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.222,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.404238,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":66,"max":71},"biblio":{"volume":null,"issue":null,"first_page":"141","last_page":"145"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9999,"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":0.9999,"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":0.9995,"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":0.9892,"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/representation","display_name":"Representation","score":0.55775946},{"id":"https://openalex.org/keywords/named-entity-recognition","display_name":"Named Entity Recognition","score":0.519612},{"id":"https://openalex.org/keywords/word-embedding","display_name":"Word embedding","score":0.5113353}],"concepts":[{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.8488106},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8075708},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.7964091},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.67299587},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.66522217},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.55775946},{"id":"https://openalex.org/C2779135771","wikidata":"https://www.wikidata.org/wiki/Q403574","display_name":"Named-entity recognition","level":3,"score":0.519612},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.519338},{"id":"https://openalex.org/C2777462759","wikidata":"https://www.wikidata.org/wiki/Q18395344","display_name":"Word embedding","level":3,"score":0.5113353},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.41211998},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.19361955},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08058083},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.07254675},{"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},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1145/3472634.3472667","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality education","score":0.75,"id":"https://metadata.un.org/sdg/4"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":8,"referenced_works":["https://openalex.org/W2086165751","https://openalex.org/W2128535227","https://openalex.org/W2158899491","https://openalex.org/W2613831280","https://openalex.org/W2746222821","https://openalex.org/W2962904552","https://openalex.org/W2975059944","https://openalex.org/W2997617958"],"related_works":["https://openalex.org/W947140380","https://openalex.org/W4387517132","https://openalex.org/W4286432911","https://openalex.org/W4245453790","https://openalex.org/W4230884544","https://openalex.org/W4214830338","https://openalex.org/W3216571906","https://openalex.org/W3194985222","https://openalex.org/W2944691285","https://openalex.org/W2518587255"],"abstract_inverted_index":{"Recently,":[0],"many":[1],"Chinese":[2],"Named":[3],"Entity":[4],"Recognition":[5],"(NER)":[6],"problems":[7],"which":[8],"utilize":[9],"the":[10,17,21,25,33,37,47,59,64,70,73,82,92,105,109,120],"character-based":[11,18],"approach":[12,19],"have":[13],"a":[14],"good":[15],"performance,":[16],"becomes":[20],"dominant":[22],"current":[23],"of":[24,49,84,111],"approaches,":[26],"but":[27,58],"there":[28],"are":[29],"two":[30,102],"issues":[31],"in":[32,78,117],"existing":[34,60,121],"models.":[35,123],"Firstly,":[36],"traditional":[38],"character":[39,94],"vector":[40],"representation":[41],"is":[42,76,96,114],"too":[43],"single":[44],"to":[45],"express":[46],"polysemia":[48],"characters.":[50],"Secondly,":[51],"words":[52],"contain":[53],"more":[54],"information":[55,66],"than":[56],"characters,":[57],"models":[61],"cannot":[62],"use":[63],"word":[65],"sufficiently.":[67],"To":[68],"address":[69],"above":[71],"issues,":[72],"AM-BiLSTM":[74],"model":[75,88],"provided":[77],"this":[79],"work.":[80],"With":[81],"introduction":[83],"ALBERT":[85],"pre-training":[86],"language":[87],"and":[89,104],"Multi-word":[90],"Information(MWI),":[91],"enhanced":[93],"embedding":[95],"composed.":[97],"We":[98],"perform":[99],"experiments":[100],"on":[101],"datasets":[103],"results":[106],"demonstrate":[107],"that":[108],"capability":[110],"our":[112],"method":[113],"improved":[115],"outstandingly":[116],"comparison":[118],"with":[119],"NER":[122]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W3202859983","counts_by_year":[{"year":2022,"cited_by_count":2}],"updated_date":"2025-03-28T23:15:22.496745","created_date":"2021-10-11"}