{"id":"https://openalex.org/W2970035587","doi":"https://doi.org/10.18653/v1/w19-5057","title":"LasigeBioTM at MEDIQA 2019: Biomedical Question Answering using Bidirectional Transformers and Named Entity Recognition","display_name":"LasigeBioTM at MEDIQA 2019: Biomedical Question Answering using Bidirectional Transformers and Named Entity Recognition","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2970035587","doi":"https://doi.org/10.18653/v1/w19-5057","mag":"2970035587"},"language":"en","primary_location":{"id":"doi:10.18653/v1/w19-5057","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w19-5057","pdf_url":"https://www.aclweb.org/anthology/W19-5057.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 18th BioNLP Workshop and Shared Task","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/W19-5057.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5024583659","display_name":"Andr\u00e9 Lam\u00farias","orcid":"https://orcid.org/0000-0001-7965-6536"},"institutions":[{"id":"https://openalex.org/I141596103","display_name":"University of Lisbon","ror":"https://ror.org/01c27hj86","country_code":"PT","type":"education","lineage":["https://openalex.org/I141596103"]}],"countries":["PT"],"is_corresponding":true,"raw_author_name":"Andre Lamurias","raw_affiliation_strings":["Faculdade de Cincias, Universidade de Lisboa, Portugal","Faculdade de Ci\u00eancias, Universidade de Lisboa, Portugal"],"affiliations":[{"raw_affiliation_string":"Faculdade de Cincias, Universidade de Lisboa, Portugal","institution_ids":["https://openalex.org/I141596103"]},{"raw_affiliation_string":"Faculdade de Ci\u00eancias, Universidade de Lisboa, Portugal","institution_ids":["https://openalex.org/I141596103"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014333753","display_name":"Francisco M. Couto","orcid":"https://orcid.org/0000-0003-0627-1496"},"institutions":[{"id":"https://openalex.org/I141596103","display_name":"University of Lisbon","ror":"https://ror.org/01c27hj86","country_code":"PT","type":"education","lineage":["https://openalex.org/I141596103"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Francisco M Couto","raw_affiliation_strings":["Faculdade de Cincias, Universidade de Lisboa, Portugal","Faculdade de Ci\u00eancias, Universidade de Lisboa, Portugal"],"affiliations":[{"raw_affiliation_string":"Faculdade de Cincias, Universidade de Lisboa, Portugal","institution_ids":["https://openalex.org/I141596103"]},{"raw_affiliation_string":"Faculdade de Ci\u00eancias, Universidade de Lisboa, Portugal","institution_ids":["https://openalex.org/I141596103"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5024583659"],"corresponding_institution_ids":["https://openalex.org/I141596103"],"apc_list":null,"apc_paid":null,"fwci":1.6802,"has_fulltext":true,"cited_by_count":18,"citation_normalized_percentile":{"value":0.88391171,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"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":0.9975000023841858,"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/T13629","display_name":"Text Readability and Simplification","score":0.9715999960899353,"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/question-answering","display_name":"Question answering","score":0.8371050357818604},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8160786628723145},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5628117918968201},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5599455237388611},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5321319103240967},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5257701873779297},{"id":"https://openalex.org/keywords/named-entity-recognition","display_name":"Named-entity recognition","score":0.4823117256164551},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.445788711309433},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4393089711666107}],"concepts":[{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.8371050357818604},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8160786628723145},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5628117918968201},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5599455237388611},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5321319103240967},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5257701873779297},{"id":"https://openalex.org/C2779135771","wikidata":"https://www.wikidata.org/wiki/Q403574","display_name":"Named-entity recognition","level":3,"score":0.4823117256164551},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.445788711309433},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4393089711666107},{"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/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"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/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/w19-5057","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w19-5057","pdf_url":"https://www.aclweb.org/anthology/W19-5057.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 18th BioNLP Workshop and Shared Task","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/w19-5057","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w19-5057","pdf_url":"https://www.aclweb.org/anthology/W19-5057.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 18th BioNLP Workshop and Shared Task","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.6100000143051147,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2970035587.pdf","grobid_xml":"https://content.openalex.org/works/W2970035587.grobid-xml"},"referenced_works_count":11,"referenced_works":["https://openalex.org/W1964162497","https://openalex.org/W2115748294","https://openalex.org/W2807280045","https://openalex.org/W2896457183","https://openalex.org/W2903305690","https://openalex.org/W2911489562","https://openalex.org/W2963341956","https://openalex.org/W2963403868","https://openalex.org/W2963748441","https://openalex.org/W2970986790","https://openalex.org/W3140009346"],"related_works":["https://openalex.org/W173870552","https://openalex.org/W2167202928","https://openalex.org/W2604144356","https://openalex.org/W4381058564","https://openalex.org/W3115058362","https://openalex.org/W2964413124","https://openalex.org/W4206178588","https://openalex.org/W4287635093","https://openalex.org/W3094491777","https://openalex.org/W3214715529"],"abstract_inverted_index":{"Biomedical":[0],"Question":[1,74],"Answering":[2],"(QA)":[3],"aims":[4],"at":[5,64],"providing":[6],"automated":[7],"answers":[8],"to":[9,26,44,67,84],"user":[10],"questions,":[11],"regarding":[12],"a":[13],"variety":[14],"of":[15,41,52,58],"biomedical":[16,34,59,85],"topics.":[17],"For":[18],"example,":[19],"these":[20,46],"questions":[21],"may":[22],"ask":[23],"for":[24],"related":[25],"diseases,":[27],"drugs,":[28],"symptoms,":[29],"or":[30],"medical":[31],"procedures.":[32],"Automated":[33],"QA":[35],"systems":[36],"could":[37],"improve":[38],"the":[39],"retrieval":[40],"information":[42],"necessary":[43],"answer":[45],"questions.":[47],"The":[48],"MEDIQA":[49],"challenge":[50,62],"consisted":[51],"three":[53],"tasks":[54],"concerning":[55],"various":[56],"aspects":[57],"QA.":[60,86],"This":[61],"aimed":[63],"advancing":[65],"approaches":[66,83],"Natural":[68],"Language":[69],"Inference":[70],"(NLI)":[71],"and":[72],"Recognizing":[73],"Entailment":[75],"(RQE),":[76],"which":[77],"would":[78],"then":[79],"result":[80],"in":[81],"enhanced":[82]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
