{"id":"https://openalex.org/W2988294541","doi":"https://doi.org/10.18653/v1/d19-5716","title":"A Multi-Task Learning Framework for Extracting Bacteria Biotope Information","display_name":"A Multi-Task Learning Framework for Extracting Bacteria Biotope Information","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2988294541","doi":"https://doi.org/10.18653/v1/d19-5716","mag":"2988294541"},"language":"en","primary_location":{"id":"doi:10.18653/v1/d19-5716","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-5716","pdf_url":"https://www.aclweb.org/anthology/D19-5716.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 5th Workshop on BioNLP Open Shared Tasks","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/D19-5716.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100360407","display_name":"Qi Zhang","orcid":"https://orcid.org/0000-0003-0947-4942"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qi Zhang","raw_affiliation_strings":["Zhejiang University,"],"affiliations":[{"raw_affiliation_string":"Zhejiang University,","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100664416","display_name":"Chao Liu","orcid":"https://orcid.org/0000-0003-0696-3943"},"institutions":[{"id":"https://openalex.org/I4210086143","display_name":"Alibaba Group (Cayman Islands)","ror":"https://ror.org/00mnrxf72","country_code":"KY","type":"company","lineage":["https://openalex.org/I4210086143","https://openalex.org/I45928872"]}],"countries":["KY"],"is_corresponding":false,"raw_author_name":"Chao Liu","raw_affiliation_strings":["Alibaba DAMO Academy"],"affiliations":[{"raw_affiliation_string":"Alibaba DAMO Academy","institution_ids":["https://openalex.org/I4210086143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101793087","display_name":"Ying Chi","orcid":"https://orcid.org/0000-0002-3020-7892"},"institutions":[{"id":"https://openalex.org/I4210086143","display_name":"Alibaba Group (Cayman Islands)","ror":"https://ror.org/00mnrxf72","country_code":"KY","type":"company","lineage":["https://openalex.org/I4210086143","https://openalex.org/I45928872"]}],"countries":["KY"],"is_corresponding":false,"raw_author_name":"Ying Chi","raw_affiliation_strings":["Alibaba DAMO Academy"],"affiliations":[{"raw_affiliation_string":"Alibaba DAMO Academy","institution_ids":["https://openalex.org/I4210086143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101763148","display_name":"Xuansong Xie","orcid":"https://orcid.org/0000-0002-3671-799X"},"institutions":[{"id":"https://openalex.org/I4210086143","display_name":"Alibaba Group (Cayman Islands)","ror":"https://ror.org/00mnrxf72","country_code":"KY","type":"company","lineage":["https://openalex.org/I4210086143","https://openalex.org/I45928872"]}],"countries":["KY"],"is_corresponding":false,"raw_author_name":"Xuansong Xie","raw_affiliation_strings":["Alibaba DAMO Academy"],"affiliations":[{"raw_affiliation_string":"Alibaba DAMO Academy","institution_ids":["https://openalex.org/I4210086143"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024965898","display_name":"Xian\u2010Sheng Hua","orcid":"https://orcid.org/0000-0002-8232-5049"},"institutions":[{"id":"https://openalex.org/I4210086143","display_name":"Alibaba Group (Cayman Islands)","ror":"https://ror.org/00mnrxf72","country_code":"KY","type":"company","lineage":["https://openalex.org/I4210086143","https://openalex.org/I45928872"]}],"countries":["KY"],"is_corresponding":false,"raw_author_name":"Xiansheng Hua","raw_affiliation_strings":["Alibaba DAMO Academy"],"affiliations":[{"raw_affiliation_string":"Alibaba DAMO Academy","institution_ids":["https://openalex.org/I4210086143"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100360407"],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":1.2601,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.85495566,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"105","last_page":"109"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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/T10181","display_name":"Natural Language Processing Techniques","score":0.9986000061035156,"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7945573329925537},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6476830840110779},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.645616888999939},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.6428555846214294},{"id":"https://openalex.org/keywords/relationship-extraction","display_name":"Relationship extraction","score":0.6089165806770325},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5992954969406128},{"id":"https://openalex.org/keywords/biotope","display_name":"Biotope","score":0.5969793200492859},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5745987296104431},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5666902661323547},{"id":"https://openalex.org/keywords/named-entity-recognition","display_name":"Named-entity recognition","score":0.5302535891532898},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.5215342044830322},{"id":"https://openalex.org/keywords/biomedical-text-mining","display_name":"Biomedical text mining","score":0.4903114140033722},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.45506781339645386},{"id":"https://openalex.org/keywords/text-mining","display_name":"Text mining","score":0.0787457525730133}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7945573329925537},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6476830840110779},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.645616888999939},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.6428555846214294},{"id":"https://openalex.org/C153604712","wikidata":"https://www.wikidata.org/wiki/Q7310755","display_name":"Relationship extraction","level":3,"score":0.6089165806770325},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5992954969406128},{"id":"https://openalex.org/C112149622","wikidata":"https://www.wikidata.org/wiki/Q175208","display_name":"Biotope","level":3,"score":0.5969793200492859},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5745987296104431},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5666902661323547},{"id":"https://openalex.org/C2779135771","wikidata":"https://www.wikidata.org/wiki/Q403574","display_name":"Named-entity recognition","level":3,"score":0.5302535891532898},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.5215342044830322},{"id":"https://openalex.org/C165141518","wikidata":"https://www.wikidata.org/wiki/Q4915126","display_name":"Biomedical text mining","level":3,"score":0.4903114140033722},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.45506781339645386},{"id":"https://openalex.org/C71472368","wikidata":"https://www.wikidata.org/wiki/Q676880","display_name":"Text mining","level":2,"score":0.0787457525730133},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C185933670","wikidata":"https://www.wikidata.org/wiki/Q52105","display_name":"Habitat","level":2,"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/d19-5716","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-5716","pdf_url":"https://www.aclweb.org/anthology/D19-5716.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 5th Workshop on BioNLP Open Shared Tasks","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/d19-5716","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-5716","pdf_url":"https://www.aclweb.org/anthology/D19-5716.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 5th Workshop on BioNLP Open Shared Tasks","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.7300000190734863,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2988294541.pdf","grobid_xml":"https://content.openalex.org/works/W2988294541.grobid-xml"},"referenced_works_count":9,"referenced_works":["https://openalex.org/W1604644367","https://openalex.org/W2153579005","https://openalex.org/W2798734500","https://openalex.org/W2799125718","https://openalex.org/W2808142148","https://openalex.org/W2896457183","https://openalex.org/W2963403868","https://openalex.org/W4294170691","https://openalex.org/W4385245566"],"related_works":["https://openalex.org/W2134429551","https://openalex.org/W3004288456","https://openalex.org/W2064314529","https://openalex.org/W3095980030","https://openalex.org/W2017675085","https://openalex.org/W4396918568","https://openalex.org/W2548624545","https://openalex.org/W4286980122","https://openalex.org/W3198510869","https://openalex.org/W4379379356"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3],"novel":[4],"transfer":[5],"multi-task":[6],"learning":[7],"method":[8,82],"for":[9],"Bacteria":[10,99],"Biotope":[11,100],"rel+ner":[12,101],"task":[13],"at":[14],"BioNLP-OST":[15],"2019.":[16],"To":[17],"alleviate":[18],"the":[19,54,66,84,98],"data":[20],"deficiency":[21],"problem":[22],"in":[23,97],"domain-specific":[24],"information":[25],"extraction,":[26],"we":[27,52],"use":[28],"BERT(Devlin":[29],"et":[30],"al.,":[31],"2018)":[32],"(Bidirectional":[33],"Encoder":[34],"Representations":[35],"from":[36],"Transformers)":[37],"and":[38,45,58,73,95],"pre-train":[39],"it":[40],"using":[41],"mask":[42],"language":[43],"models":[44],"next":[46],"sentence":[47],"prediction":[48],"In":[49],"fine-tuning":[50],"stage,":[51],"fine-tune":[53],"relation":[55],"extraction":[56],"layer":[57,61],"mention":[59],"recognition":[60],"designed":[62],"by":[63],"us":[64],"on":[65,87],"top":[67],"of":[68],"BERT":[69],"to":[70],"extract":[71],"mentions":[72],"relations":[74],"simultaneously.":[75],"The":[76],"evaluation":[77],"results":[78],"show":[79],"that":[80],"our":[81],"achieves":[83],"best":[85],"performance":[86],"all":[88],"metrics":[89],"(including":[90],"slot":[91],"error":[92],"rate,":[93],"precision":[94],"recall)":[96],"subtask.":[102]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
