{"id":"https://openalex.org/W2753432199","doi":"https://doi.org/10.18653/v1/s17-2164","title":"LABDA at SemEval-2017 Task 10: Extracting Keyphrases from Scientific Publications by combining the BANNER tool and the UMLS Semantic Network","display_name":"LABDA at SemEval-2017 Task 10: Extracting Keyphrases from Scientific Publications by combining the BANNER tool and the UMLS Semantic Network","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2753432199","doi":"https://doi.org/10.18653/v1/s17-2164","mag":"2753432199"},"language":"en","primary_location":{"id":"doi:10.18653/v1/s17-2164","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s17-2164","pdf_url":"https://www.aclweb.org/anthology/S17-2164.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 11th International Workshop on Semantic Evaluation\n          (SemEval-2017)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/S17-2164.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5079791321","display_name":"Isabel Segura-B\u00e9dmar","orcid":"https://orcid.org/0000-0002-7810-2360"},"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":"Isabel Segura-Bedmar","raw_affiliation_strings":["Computer Science Department, Universidad Carlos III of Madrid Avd. Universidad, 30, Legans, 28911, Madrid, Spain","Computer Science Department, Universidad Carlos III of Madrid Avd. Universidad, 30, Legan\u00e9s, 28911, Madrid, Spain"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, Universidad Carlos III of Madrid Avd. Universidad, 30, Legans, 28911, Madrid, Spain","institution_ids":["https://openalex.org/I50357001"]},{"raw_affiliation_string":"Computer Science Department, Universidad Carlos III of Madrid Avd. Universidad, 30, Legan\u00e9s, 28911, Madrid, Spain","institution_ids":["https://openalex.org/I50357001"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058065349","display_name":"Cristobal Col\u00f3n-Ru\u00edz","orcid":"https://orcid.org/0000-0002-9167-809X"},"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":false,"raw_author_name":"Crist\u00f3bal Col\u00f3n-Ruiz","raw_affiliation_strings":["Computer Science Department, Universidad Carlos III of Madrid Avd. Universidad, 30, Legan\u00e9s, 28911, Madrid, Spain"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, Universidad Carlos III of Madrid Avd. Universidad, 30, Legan\u00e9s, 28911, Madrid, Spain","institution_ids":["https://openalex.org/I50357001"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009969418","display_name":"Paloma Mart\u0131\u0301nez","orcid":"https://orcid.org/0000-0003-3013-3771"},"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":false,"raw_author_name":"Paloma Mart\u00ednez","raw_affiliation_strings":["Computer Science Department, Universidad Carlos III of Madrid Avd. Universidad, 30, Legan\u00e9s, 28911, Madrid, Spain"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, Universidad Carlos III of Madrid Avd. Universidad, 30, Legan\u00e9s, 28911, Madrid, Spain","institution_ids":["https://openalex.org/I50357001"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5079791321"],"corresponding_institution_ids":["https://openalex.org/I50357001"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.13056902,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"947","last_page":"950"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","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/T13083","display_name":"Advanced Text Analysis Techniques","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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9660000205039978,"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"}},{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9294999837875366,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/computer-science","display_name":"Computer science","score":0.8998582363128662},{"id":"https://openalex.org/keywords/unified-medical-language-system","display_name":"Unified Medical Language System","score":0.7667020559310913},{"id":"https://openalex.org/keywords/semeval","display_name":"SemEval","score":0.7522252202033997},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6368492841720581},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.62382972240448},{"id":"https://openalex.org/keywords/banner","display_name":"Banner","score":0.6001494526863098},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5972404479980469},{"id":"https://openalex.org/keywords/conditional-random-field","display_name":"Conditional random field","score":0.5748446583747864},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5570740699768066},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5484708547592163},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5188530683517456},{"id":"https://openalex.org/keywords/semantic-feature","display_name":"Semantic feature","score":0.5107197761535645},{"id":"https://openalex.org/keywords/named-entity-recognition","display_name":"Named-entity recognition","score":0.4966297745704651},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.42699068784713745},{"id":"https://openalex.org/keywords/syntax","display_name":"Syntax","score":0.4125974178314209},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4122482240200043},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.10790768265724182},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.06577223539352417}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8998582363128662},{"id":"https://openalex.org/C69505689","wikidata":"https://www.wikidata.org/wiki/Q455338","display_name":"Unified Medical Language System","level":2,"score":0.7667020559310913},{"id":"https://openalex.org/C44572571","wikidata":"https://www.wikidata.org/wiki/Q7448970","display_name":"SemEval","level":3,"score":0.7522252202033997},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6368492841720581},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.62382972240448},{"id":"https://openalex.org/C157572991","wikidata":"https://www.wikidata.org/wiki/Q806880","display_name":"Banner","level":2,"score":0.6001494526863098},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5972404479980469},{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.5748446583747864},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5570740699768066},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5484708547592163},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5188530683517456},{"id":"https://openalex.org/C2781122975","wikidata":"https://www.wikidata.org/wiki/Q16928266","display_name":"Semantic feature","level":2,"score":0.5107197761535645},{"id":"https://openalex.org/C2779135771","wikidata":"https://www.wikidata.org/wiki/Q403574","display_name":"Named-entity recognition","level":3,"score":0.4966297745704651},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.42699068784713745},{"id":"https://openalex.org/C60048249","wikidata":"https://www.wikidata.org/wiki/Q37437","display_name":"Syntax","level":2,"score":0.4125974178314209},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4122482240200043},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.10790768265724182},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.06577223539352417},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/s17-2164","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s17-2164","pdf_url":"https://www.aclweb.org/anthology/S17-2164.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 11th International Workshop on Semantic Evaluation\n          (SemEval-2017)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/s17-2164","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s17-2164","pdf_url":"https://www.aclweb.org/anthology/S17-2164.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 11th International Workshop on Semantic Evaluation\n          (SemEval-2017)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.75}],"awards":[{"id":"https://openalex.org/G1099872950","display_name":null,"funder_award_id":"TIN2014-52665-C2-2-R","funder_id":"https://openalex.org/F4320321837","funder_display_name":"Ministerio de Econom\u00eda y Competitividad"}],"funders":[{"id":"https://openalex.org/F4320321837","display_name":"Ministerio de Econom\u00eda y Competitividad","ror":"https://ror.org/034900433"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2753432199.pdf","grobid_xml":"https://content.openalex.org/works/W2753432199.grobid-xml"},"referenced_works_count":5,"referenced_works":["https://openalex.org/W141694252","https://openalex.org/W2107005506","https://openalex.org/W2145870108","https://openalex.org/W2608018997","https://openalex.org/W2962903510"],"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],"paper":[1],"describes":[2],"the":[3,7,18,30,36,58,66,76,80,118,125,138,144],"system":[4,131,146],"presented":[5],"by":[6,117],"LABDA":[8],"group":[9],"at":[10],"SemEval":[11],"2017":[12],"Task":[13],"10":[14],"ScienceIE,":[15],"specifically":[16],"for":[17,93],"subtasks":[19],"of":[20,24,32,108],"identification":[21],"and":[22,52,70,79,156],"classification":[23],"keyphrases":[25],"from":[26],"scientific":[27],"articles.":[28],"For":[29],"task":[31],"identification,":[33],"we":[34,64,89],"use":[35],"BANNER":[37,119],"tool,":[38],"a":[39,72,91,98,102,151],"named":[40],"entity":[41],"recognition":[42],"system,":[43],"which":[44],"is":[45,104,111],"based":[46],"on":[47,85,124],"conditional":[48,139],"random":[49,140],"fields":[50,141],"(CRF)":[51],"has":[53],"obtained":[54],"successful":[55],"results":[56,123],"in":[57,106],"biomedical":[59],"domain.":[60],"To":[61],"classify":[62,157],"keyphrases,":[63],"study":[65],"UMLS":[67,81],"semantic":[68,82,87],"network":[69],"propose":[71],"possible":[73],"linking":[74],"between":[75],"keyphrase":[77,95],"types":[78],"groups.":[83],"Based":[84],"this":[86],"linking,":[88],"create":[90],"dictionary":[92],"each":[94],"type.":[96],"Then,":[97],"feature":[99,114],"indicating":[100],"if":[101],"token":[103],"found":[105],"one":[107],"these":[109],"dictionaries":[110],"incorporated":[112],"to":[113,134,154],"set":[115],"used":[116,149],"tool.":[120],"The":[121],"final":[122],"test":[126],"dataset":[127],"show":[128],"that":[129],"our":[130],"still":[132],"needs":[133],"be":[135,148],"improved,":[136],"but":[137],"and,":[142],"consequently,":[143],"BAN-NER":[145],"can":[147],"as":[150],"first":[152],"approximation":[153],"identify":[155],"keyphrases.":[158]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}