{"id":"https://openalex.org/W2988932445","doi":"https://doi.org/10.18653/v1/d19-5703","title":"VSP at PharmaCoNER 2019: Recognition of Pharmacological Substances, Compounds and Proteins with Recurrent Neural Networks in Spanish Clinical Cases","display_name":"VSP at PharmaCoNER 2019: Recognition of Pharmacological Substances, Compounds and Proteins with Recurrent Neural Networks in Spanish Clinical Cases","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2988932445","doi":"https://doi.org/10.18653/v1/d19-5703","mag":"2988932445"},"language":"en","primary_location":{"id":"doi:10.18653/v1/d19-5703","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-5703","pdf_url":"https://www.aclweb.org/anthology/D19-5703.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/D19-5703.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5065663251","display_name":"V\u00edctor Su\u00e1rez-Paniagua","orcid":"https://orcid.org/0000-0002-6036-5322"},"institutions":[{"id":"https://openalex.org/I50357001","display_name":"Universidad Carlos III de Madrid","ror":"https://ror.org/03ths8210","country_code":"ES","type":"education","lineage":["https://openalex.org/I50357001"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"V\u00edctor Su\u00e1rez-Paniagua","raw_affiliation_strings":["Computer Science Department, Carlos III University of Madrid. Legan\u00e9s 28911, Madrid, Spain"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, Carlos III University of Madrid. Legan\u00e9s 28911, Madrid, Spain","institution_ids":["https://openalex.org/I50357001"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5065663251"],"corresponding_institution_ids":["https://openalex.org/I50357001"],"apc_list":null,"apc_paid":null,"fwci":0.14,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.58449115,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":null,"issue":null,"first_page":"16","last_page":"20"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9984999895095825,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9984999895095825,"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/T10028","display_name":"Topic Modeling","score":0.9966999888420105,"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":0.9962999820709229,"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":0.7944125533103943},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.6572460532188416},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6449984908103943},{"id":"https://openalex.org/keywords/conditional-random-field","display_name":"Conditional random field","score":0.6346635818481445},{"id":"https://openalex.org/keywords/named-entity-recognition","display_name":"Named-entity recognition","score":0.609939455986023},{"id":"https://openalex.org/keywords/word-embedding","display_name":"Word embedding","score":0.6093030571937561},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5598043203353882},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.5564080476760864},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5528056621551514},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.5239322781562805},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5201483368873596},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4742901921272278},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.4722663164138794},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.46218645572662354},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4597594439983368},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.4455931484699249},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3727682828903198},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.3289128541946411}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7944125533103943},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.6572460532188416},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6449984908103943},{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.6346635818481445},{"id":"https://openalex.org/C2779135771","wikidata":"https://www.wikidata.org/wiki/Q403574","display_name":"Named-entity recognition","level":3,"score":0.609939455986023},{"id":"https://openalex.org/C2777462759","wikidata":"https://www.wikidata.org/wiki/Q18395344","display_name":"Word embedding","level":3,"score":0.6093030571937561},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5598043203353882},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.5564080476760864},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5528056621551514},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.5239322781562805},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5201483368873596},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4742901921272278},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.4722663164138794},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.46218645572662354},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4597594439983368},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.4455931484699249},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3727682828903198},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.3289128541946411},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/d19-5703","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-5703","pdf_url":"https://www.aclweb.org/anthology/D19-5703.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/d19-5703","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-5703","pdf_url":"https://www.aclweb.org/anthology/D19-5703.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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2988932445.pdf","grobid_xml":"https://content.openalex.org/works/W2988932445.grobid-xml"},"referenced_works_count":14,"referenced_works":["https://openalex.org/W1832693441","https://openalex.org/W2004763266","https://openalex.org/W2064675550","https://openalex.org/W2145870108","https://openalex.org/W2147880316","https://openalex.org/W2153579005","https://openalex.org/W2157331557","https://openalex.org/W2160987310","https://openalex.org/W2296283641","https://openalex.org/W2734608416","https://openalex.org/W2775645290","https://openalex.org/W2963738950","https://openalex.org/W2963956191","https://openalex.org/W4294170691"],"related_works":["https://openalex.org/W4250494529","https://openalex.org/W1964783010","https://openalex.org/W2399696375","https://openalex.org/W45206245","https://openalex.org/W2211396092","https://openalex.org/W4305041692","https://openalex.org/W2078793151","https://openalex.org/W2061834489","https://openalex.org/W2751906762","https://openalex.org/W3088215229"],"abstract_inverted_index":{"This":[0,172],"paper":[1],"presents":[2,174],"the":[3,6,10,14,28,41,44,54,58,84,90,96,102,108,120,124,134,143,158,161,167],"participation":[4],"of":[5,23,32,43,47,57,83,98,123,137,142,151,160],"VSP":[7],"team":[8],"for":[9,27,53,80,157],"PharmaCoNER":[11],"Tracks":[12],"from":[13],"BioNLP":[15],"Open":[16],"Shared":[17],"Task":[18],"2019.":[19],"The":[20,61,92,146],"system":[21,147],"consists":[22],"a":[24,77,128,149,178],"neural":[25,62],"model":[26],"Named":[29,162],"Entity":[30,163],"Recognition":[31,164],"drugs,":[33],"medications":[34],"and":[35,40,101,153,166],"chemical":[36],"entities":[37],"in":[38,86,116,140,155],"Spanish":[39,45],"use":[42],"Edition":[46],"SNOMED":[48],"CT":[49],"term":[50],"search":[51],"engine":[52],"concept":[55],"normalization":[56],"recognized":[59],"mentions.":[60],"network":[63],"is":[64,105],"implemented":[65],"with":[66,72,112,177],"two":[67],"bidirectional":[68],"Recurrent":[69],"Neural":[70],"Networks":[71],"LSTM":[73],"cells":[74],"that":[75],"creates":[76],"feature":[78,121],"vector":[79,104,122,135],"each":[81,99,138],"word":[82,100,114,139,184],"sentences":[85],"order":[87,117],"to":[88,107,118],"classify":[89],"entities.":[91],"first":[93],"layer":[94,110,132],"uses":[95],"characters":[97],"resulting":[103],"aggregated":[106],"second":[109],"together":[111],"its":[113],"embedding":[115],"create":[119],"word.":[125],"In":[126],"addition,":[127],"Conditional":[129],"Random":[130],"Field":[131],"classifies":[133],"representation":[136],"one":[141],"mention":[144],"types.":[145],"obtains":[148],"performance":[150],"76.29%,":[152],"60.34%":[154],"F1":[156],"classification":[159],"task":[165],"Concept":[168],"indexing":[169],"task,":[170],"respectively.":[171],"method":[173],"good":[175],"results":[176],"basic":[179],"approach":[180],"without":[181],"using":[182],"pretrained":[183],"embeddings":[185],"or":[186],"any":[187],"hand-crafted":[188],"features.":[189]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
