{"id":"https://openalex.org/W3194672979","doi":"https://doi.org/10.1186/s13326-021-00248-y","title":"Syntax-based transfer learning for the task of biomedical relation extraction","display_name":"Syntax-based transfer learning for the task of biomedical relation extraction","publication_year":2021,"publication_date":"2021-08-18","ids":{"openalex":"https://openalex.org/W3194672979","doi":"https://doi.org/10.1186/s13326-021-00248-y","mag":"3194672979","pmid":"https://pubmed.ncbi.nlm.nih.gov/34407869"},"language":"en","primary_location":{"id":"doi:10.1186/s13326-021-00248-y","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13326-021-00248-y","pdf_url":"https://jbiomedsem.biomedcentral.com/track/pdf/10.1186/s13326-021-00248-y","source":{"id":"https://openalex.org/S172276550","display_name":"Journal of Biomedical Semantics","issn_l":"2041-1480","issn":["2041-1480"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Biomedical Semantics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://jbiomedsem.biomedcentral.com/track/pdf/10.1186/s13326-021-00248-y","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5034466727","display_name":"Jo\u00ebl Legrand","orcid":"https://orcid.org/0000-0002-6508-7421"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]},{"id":"https://openalex.org/I4210121838","display_name":"Laboratoire Lorrain de Recherche en Informatique et ses Applications","ror":"https://ror.org/02vnf0c38","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I277688954","https://openalex.org/I4210107720","https://openalex.org/I4210121838","https://openalex.org/I4210159245","https://openalex.org/I90183372"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Jo\u00ebl Legrand","raw_affiliation_strings":["Universit\u00e9 de Lorraine, CNRS, Inria, LORIA, Nancy, 54000, France. joel.legrand@inria.fr","ORPAILLEUR - Knowledge  representation, reasonning (France)","SYNALP - Natural Language Processing : representations, inference and semantics (France)"],"raw_orcid":"https://orcid.org/0000-0002-6508-7421","affiliations":[{"raw_affiliation_string":"Universit\u00e9 de Lorraine, CNRS, Inria, LORIA, Nancy, 54000, France. joel.legrand@inria.fr","institution_ids":["https://openalex.org/I4210121838","https://openalex.org/I1326498283","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"ORPAILLEUR - Knowledge  representation, reasonning (France)","institution_ids":[]},{"raw_affiliation_string":"SYNALP - Natural Language Processing : representations, inference and semantics (France)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063951580","display_name":"Yannick Toussaint","orcid":null},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210121838","display_name":"Laboratoire Lorrain de Recherche en Informatique et ses Applications","ror":"https://ror.org/02vnf0c38","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I277688954","https://openalex.org/I4210107720","https://openalex.org/I4210121838","https://openalex.org/I4210159245","https://openalex.org/I90183372"]},{"id":"https://openalex.org/I90183372","display_name":"Universit\u00e9 de Lorraine","ror":"https://ror.org/04vfs2w97","country_code":"FR","type":"education","lineage":["https://openalex.org/I90183372"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Yannick Toussaint","raw_affiliation_strings":["Universit\u00e9 de Lorraine, CNRS, Inria, LORIA, Nancy, 54000, France","ORPAILLEUR - Knowledge  representation, reasonning (France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit\u00e9 de Lorraine, CNRS, Inria, LORIA, Nancy, 54000, France","institution_ids":["https://openalex.org/I90183372","https://openalex.org/I4210121838","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"ORPAILLEUR - Knowledge  representation, reasonning (France)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066869710","display_name":"Chedy Ra\u00efssi","orcid":"https://orcid.org/0000-0002-6100-7519"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210121838","display_name":"Laboratoire Lorrain de Recherche en Informatique et ses Applications","ror":"https://ror.org/02vnf0c38","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I277688954","https://openalex.org/I4210107720","https://openalex.org/I4210121838","https://openalex.org/I4210159245","https://openalex.org/I90183372"]},{"id":"https://openalex.org/I90183372","display_name":"Universit\u00e9 de Lorraine","ror":"https://ror.org/04vfs2w97","country_code":"FR","type":"education","lineage":["https://openalex.org/I90183372"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Chedy Ra\u00efssi","raw_affiliation_strings":["Universit\u00e9 de Lorraine, CNRS, Inria, LORIA, Nancy, 54000, France","ORPAILLEUR - Knowledge  representation, reasonning (France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit\u00e9 de Lorraine, CNRS, Inria, LORIA, Nancy, 54000, France","institution_ids":["https://openalex.org/I90183372","https://openalex.org/I4210121838","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"ORPAILLEUR - Knowledge  representation, reasonning (France)","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082641159","display_name":"Adrien Coulet","orcid":"https://orcid.org/0000-0002-1466-062X"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210121838","display_name":"Laboratoire Lorrain de Recherche en Informatique et ses Applications","ror":"https://ror.org/02vnf0c38","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I277688954","https://openalex.org/I4210107720","https://openalex.org/I4210121838","https://openalex.org/I4210159245","https://openalex.org/I90183372"]},{"id":"https://openalex.org/I4210137306","display_name":"Stanford Medicine","ror":"https://ror.org/03mtd9a03","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210137306","https://openalex.org/I97018004"]},{"id":"https://openalex.org/I90183372","display_name":"Universit\u00e9 de Lorraine","ror":"https://ror.org/04vfs2w97","country_code":"FR","type":"education","lineage":["https://openalex.org/I90183372"]},{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["FR","US"],"is_corresponding":false,"raw_author_name":"Adrien Coulet","raw_affiliation_strings":["Stanford University, Stanford Center for Biomedical Informatics Research, Stanford, CA, USA","Universit\u00e9 de Lorraine, CNRS, Inria, LORIA, Nancy, 54000, France","ORPAILLEUR - Knowledge  representation, reasonning (France)","BMIR - Stanford Center for BioMedical Informatics Research (Medical School Office Building, Room X-215 251 Campus Drive Stanford, CA 94305-5479 - United States)","HeKA - Health data- and model- driven Knowledge Acquisition (15 Rue de l\u2019\u00c9cole de M\u00e9decine\r\n75006 Paris - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stanford University, Stanford Center for Biomedical Informatics Research, Stanford, CA, USA","institution_ids":["https://openalex.org/I97018004"]},{"raw_affiliation_string":"Universit\u00e9 de Lorraine, CNRS, Inria, LORIA, Nancy, 54000, France","institution_ids":["https://openalex.org/I90183372","https://openalex.org/I4210121838","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"ORPAILLEUR - Knowledge  representation, reasonning (France)","institution_ids":[]},{"raw_affiliation_string":"BMIR - Stanford Center for BioMedical Informatics Research (Medical School Office Building, Room X-215 251 Campus Drive Stanford, CA 94305-5479 - United States)","institution_ids":["https://openalex.org/I4210137306"]},{"raw_affiliation_string":"HeKA - Health data- and model- driven Knowledge Acquisition (15 Rue de l\u2019\u00c9cole de M\u00e9decine\r\n75006 Paris - France)","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5034466727"],"corresponding_institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I4210121838"],"apc_list":{"value":1190,"currency":"GBP","value_usd":1459},"apc_paid":{"value":1190,"currency":"GBP","value_usd":1459},"fwci":0.7329,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.69259151,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"12","issue":"1","first_page":"16","last_page":"16"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.45829999446868896,"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"}},"topics":[{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.45829999446868896,"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/T10028","display_name":"Topic Modeling","score":0.326200008392334,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.05400000140070915,"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/computer-science","display_name":"Computer science","score":0.8880379796028137},{"id":"https://openalex.org/keywords/relationship-extraction","display_name":"Relationship extraction","score":0.858688473701477},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.7047732472419739},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6528405547142029},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.6162662506103516},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6138366460800171},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5962409973144531},{"id":"https://openalex.org/keywords/syntax","display_name":"Syntax","score":0.5952637195587158},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5850527286529541},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.5436061024665833},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.5203930139541626},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.48784494400024414},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37018561363220215},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.14545679092407227}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8880379796028137},{"id":"https://openalex.org/C153604712","wikidata":"https://www.wikidata.org/wiki/Q7310755","display_name":"Relationship extraction","level":3,"score":0.858688473701477},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.7047732472419739},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6528405547142029},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.6162662506103516},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6138366460800171},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5962409973144531},{"id":"https://openalex.org/C60048249","wikidata":"https://www.wikidata.org/wiki/Q37437","display_name":"Syntax","level":2,"score":0.5952637195587158},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5850527286529541},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.5436061024665833},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.5203930139541626},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.48784494400024414},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37018561363220215},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.14545679092407227},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009323","descriptor_name":"Natural Language Processing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009323","descriptor_name":"Natural Language Processing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009323","descriptor_name":"Natural Language Processing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":5,"locations":[{"id":"doi:10.1186/s13326-021-00248-y","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13326-021-00248-y","pdf_url":"https://jbiomedsem.biomedcentral.com/track/pdf/10.1186/s13326-021-00248-y","source":{"id":"https://openalex.org/S172276550","display_name":"Journal of Biomedical Semantics","issn_l":"2041-1480","issn":["2041-1480"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Biomedical Semantics","raw_type":"journal-article"},{"id":"pmid:34407869","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34407869","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of biomedical semantics","raw_type":null},{"id":"pmh:oai:HAL:hal-03330823v1","is_oa":false,"landing_page_url":"https://inria.hal.science/hal-03330823","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Biomedical Semantics, 2021, 12 (1), &#x27E8;10.1186/s13326-021-00248-y&#x27E9;","raw_type":"Journal articles"},{"id":"pmh:oai:doaj.org/article:a2b21ad6ad8345ec8f0b65b1b53382f0","is_oa":true,"landing_page_url":"https://doaj.org/article/a2b21ad6ad8345ec8f0b65b1b53382f0","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Biomedical Semantics, Vol 12, Iss 1, Pp 1-11 (2021)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:8371836","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8371836","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"J Biomed Semantics","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1186/s13326-021-00248-y","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13326-021-00248-y","pdf_url":"https://jbiomedsem.biomedcentral.com/track/pdf/10.1186/s13326-021-00248-y","source":{"id":"https://openalex.org/S172276550","display_name":"Journal of Biomedical Semantics","issn_l":"2041-1480","issn":["2041-1480"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Biomedical Semantics","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7200000286102295,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G3776455082","display_name":null,"funder_award_id":"ANR-15-CE23-0028","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"}],"funders":[{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3194672979.pdf","grobid_xml":"https://content.openalex.org/works/W3194672979.grobid-xml"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W1499253590","https://openalex.org/W1500902855","https://openalex.org/W1506806321","https://openalex.org/W1551842868","https://openalex.org/W1832693441","https://openalex.org/W1919803322","https://openalex.org/W1928841877","https://openalex.org/W1994616650","https://openalex.org/W2052217781","https://openalex.org/W2081621443","https://openalex.org/W2095705004","https://openalex.org/W2104094955","https://openalex.org/W2104518905","https://openalex.org/W2107598941","https://openalex.org/W2107611725","https://openalex.org/W2113536712","https://openalex.org/W2127147316","https://openalex.org/W2133280805","https://openalex.org/W2136437513","https://openalex.org/W2138627627","https://openalex.org/W2138768461","https://openalex.org/W2148437670","https://openalex.org/W2149019993","https://openalex.org/W2158899491","https://openalex.org/W2170189740","https://openalex.org/W2250521169","https://openalex.org/W2250646484","https://openalex.org/W2395579298","https://openalex.org/W2560748602","https://openalex.org/W2562220579","https://openalex.org/W2598789561","https://openalex.org/W2604990811","https://openalex.org/W2615071493","https://openalex.org/W2759083144","https://openalex.org/W2766417776","https://openalex.org/W2773963565","https://openalex.org/W2774772126","https://openalex.org/W2887672952","https://openalex.org/W2895715183","https://openalex.org/W2913340405","https://openalex.org/W2963171262","https://openalex.org/W2963355447","https://openalex.org/W2964078775","https://openalex.org/W2964125718","https://openalex.org/W2964167098","https://openalex.org/W3104713542","https://openalex.org/W6679915538","https://openalex.org/W6683738474"],"related_works":["https://openalex.org/W2994720652","https://openalex.org/W2352298027","https://openalex.org/W4319940250","https://openalex.org/W842810586","https://openalex.org/W2092919065","https://openalex.org/W4236762297","https://openalex.org/W3138801416","https://openalex.org/W3095487414","https://openalex.org/W2369351710","https://openalex.org/W2594363579"],"abstract_inverted_index":{"BACKGROUND:":[0],"Transfer":[1],"learning":[2,7,54,87,157,176],"aims":[3],"at":[4],"enhancing":[5],"machine":[6],"performance":[8],"on":[9,123],"a":[10,19,30,42,179],"problem":[11],"by":[12,113],"reusing":[13,34],"labeled":[14],"data":[15,36,139],"originally":[16],"designed":[17],"for":[18,29,70,76,88,132,135,158,188],"related,":[20],"but":[21,41,74],"distinct":[22,43],"problem.":[23],"In":[24,80],"particular,":[25],"domain":[26,111,211],"adaptation":[27,112],"consists":[28],"specific":[31],"task,":[32],"in":[33,55,155,169,203,209],"training":[35],"developedfor":[37],"the":[38,50,71,89,98,104,118,121,148,163,170,173,198,207],"same":[39],"task":[40,90],"domain.":[44],"This":[45],"is":[46],"particularly":[47],"relevant":[48],"to":[49,165,182,212],"applications":[51],"of":[52,91,106,120,147],"deep":[53],"Natural":[56],"Language":[57],"Processing,":[58],"because":[59],"they":[60],"usually":[61],"require":[62],"large":[63],"annotated":[64,138],"corpora":[65,168],"that":[66,150,200,215],"may":[67,153],"not":[68],"exist":[69,75],"targeted":[72],"domain,":[73,172],"side":[77],"domains.":[78],"RESULTS:":[79],"this":[81,210],"paper,":[82],"we":[83,143],"experiment":[84],"with":[85,110,191],"transfer":[86,156,175,204],"relation":[92,126,159,185],"extraction":[93,127,186],"from":[94],"biomedical":[95,125,171],"texts,":[96],"using":[97],"TreeLSTM":[99,107],"model.":[100],"We":[101],"empirically":[102],"show":[103],"impact":[105],"alone":[108],"and":[109,129],"obtaining":[114],"better":[115],"performances":[116,131,187],"than":[117],"state":[119],"art":[122],"two":[124,133],"tasks":[128],"equal":[130],"others,":[134],"which":[136],"little":[137],"are":[140],"available.":[141],"Furthermore,":[142],"propose":[144],"an":[145],"analysis":[146,196],"role":[149],"syntactic":[151,217],"features":[152],"play":[154],"extraction.":[160],"CONCLUSION:":[161],"Given":[162],"difficulty":[164],"manually":[166],"annotate":[167],"proposed":[174],"method":[177],"offers":[178],"promising":[180],"alternative":[181],"achieve":[183],"good":[184],"domains":[189],"associated":[190],"scarce":[192],"resources.":[193],"Also,":[194],"our":[195],"illustrates":[197],"importance":[199,208],"syntax":[201],"plays":[202],"learning,":[205],"underlying":[206],"privilege":[213],"approaches":[214],"embed":[216],"features.":[218]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":5}],"updated_date":"2026-05-07T13:39:58.223016","created_date":"2025-10-10T00:00:00"}
