{"id":"https://openalex.org/W2626667877","doi":"https://doi.org/10.18653/v1/k17-1029","title":"Neural Domain Adaptation for Biomedical Question Answering","display_name":"Neural Domain Adaptation for Biomedical Question Answering","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2626667877","doi":"https://doi.org/10.18653/v1/k17-1029","mag":"2626667877"},"language":"en","primary_location":{"id":"doi:10.18653/v1/k17-1029","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/k17-1029","pdf_url":"https://www.aclweb.org/anthology/K17-1029.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 21st Conference on Computational Natural Language\n          Learning (CoNLL 2017)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/K17-1029.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048834095","display_name":"Georg Wiese","orcid":null},"institutions":[{"id":"https://openalex.org/I143288331","display_name":"Hasso Plattner Institute","ror":"https://ror.org/058rn5r42","country_code":"DE","type":"facility","lineage":["https://openalex.org/I143288331","https://openalex.org/I176453806"]},{"id":"https://openalex.org/I33256026","display_name":"German Research Centre for Artificial Intelligence","ror":"https://ror.org/01ayc5b57","country_code":"DE","type":"funder","lineage":["https://openalex.org/I33256026"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Georg Wiese","raw_affiliation_strings":["Hasso Plattner Institute, August Bebel Strasse 88, Potsdam 14482 Germany","Language Technology Lab, DFKI, Alt-Moabit 91c, Berlin, Germany","Hasso Plattner Institute, Potsdam, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hasso Plattner Institute, August Bebel Strasse 88, Potsdam 14482 Germany","institution_ids":["https://openalex.org/I143288331"]},{"raw_affiliation_string":"Language Technology Lab, DFKI, Alt-Moabit 91c, Berlin, Germany","institution_ids":["https://openalex.org/I33256026"]},{"raw_affiliation_string":"Hasso Plattner Institute, Potsdam, Germany","institution_ids":["https://openalex.org/I143288331"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038019602","display_name":"Dirk Weissenborn","orcid":null},"institutions":[{"id":"https://openalex.org/I33256026","display_name":"German Research Centre for Artificial Intelligence","ror":"https://ror.org/01ayc5b57","country_code":"DE","type":"funder","lineage":["https://openalex.org/I33256026"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Dirk Weissenborn","raw_affiliation_strings":["Language Technology Lab, DFKI, Alt-Moabit 91c, Berlin, Germany","German Research Centre for Artificial Intelligence, Kaiserslautern, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Language Technology Lab, DFKI, Alt-Moabit 91c, Berlin, Germany","institution_ids":["https://openalex.org/I33256026"]},{"raw_affiliation_string":"German Research Centre for Artificial Intelligence, Kaiserslautern, Germany","institution_ids":["https://openalex.org/I33256026"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024881923","display_name":"Mariana Neves","orcid":"https://orcid.org/0000-0002-6488-2394"},"institutions":[{"id":"https://openalex.org/I143288331","display_name":"Hasso Plattner Institute","ror":"https://ror.org/058rn5r42","country_code":"DE","type":"facility","lineage":["https://openalex.org/I143288331","https://openalex.org/I176453806"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Mariana Neves","raw_affiliation_strings":["Hasso Plattner Institute, August Bebel Strasse 88, Potsdam 14482 Germany","Hasso Plattner Institute, Potsdam, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hasso Plattner Institute, August Bebel Strasse 88, Potsdam 14482 Germany","institution_ids":["https://openalex.org/I143288331"]},{"raw_affiliation_string":"Hasso Plattner Institute, Potsdam, Germany","institution_ids":["https://openalex.org/I143288331"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":27,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"281","last_page":"289"},"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":0.992900013923645,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.98580002784729,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.873445987701416},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.8597307801246643},{"id":"https://openalex.org/keywords/biomedicine","display_name":"Biomedicine","score":0.6672940254211426},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6539109945297241},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.633270263671875},{"id":"https://openalex.org/keywords/open-domain","display_name":"Open domain","score":0.6071742177009583},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.5973672866821289},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.5673547387123108},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.5326998233795166},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.5264252424240112},{"id":"https://openalex.org/keywords/biomedical-text-mining","display_name":"Biomedical text mining","score":0.49696972966194153},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.4805648624897003},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.47028684616088867},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4281645119190216},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4210226535797119},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.38905271887779236},{"id":"https://openalex.org/keywords/text-mining","display_name":"Text mining","score":0.23259326815605164},{"id":"https://openalex.org/keywords/bioinformatics","display_name":"Bioinformatics","score":0.08907407522201538}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.873445987701416},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.8597307801246643},{"id":"https://openalex.org/C66782513","wikidata":"https://www.wikidata.org/wiki/Q864601","display_name":"Biomedicine","level":2,"score":0.6672940254211426},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6539109945297241},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.633270263671875},{"id":"https://openalex.org/C2993776861","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Open domain","level":3,"score":0.6071742177009583},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.5973672866821289},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5673547387123108},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.5326998233795166},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.5264252424240112},{"id":"https://openalex.org/C165141518","wikidata":"https://www.wikidata.org/wiki/Q4915126","display_name":"Biomedical text mining","level":3,"score":0.49696972966194153},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.4805648624897003},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.47028684616088867},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4281645119190216},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4210226535797119},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.38905271887779236},{"id":"https://openalex.org/C71472368","wikidata":"https://www.wikidata.org/wiki/Q676880","display_name":"Text mining","level":2,"score":0.23259326815605164},{"id":"https://openalex.org/C60644358","wikidata":"https://www.wikidata.org/wiki/Q128570","display_name":"Bioinformatics","level":1,"score":0.08907407522201538},{"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.18653/v1/k17-1029","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/k17-1029","pdf_url":"https://www.aclweb.org/anthology/K17-1029.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 21st Conference on Computational Natural Language\n          Learning (CoNLL 2017)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1706.03610","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1706.03610","pdf_url":"https://arxiv.org/pdf/1706.03610","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},{"id":"mag:2626667877","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1706.03610.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1706.03610","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1706.03610","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.18653/v1/k17-1029","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/k17-1029","pdf_url":"https://www.aclweb.org/anthology/K17-1029.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 21st Conference on Computational Natural Language\n          Learning (CoNLL 2017)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.5899999737739563,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G5353008385","display_name":null,"funder_award_id":"01IS12050","funder_id":"https://openalex.org/F4320321114","funder_display_name":"Bundesministerium f\u00fcr Bildung und Forschung"}],"funders":[{"id":"https://openalex.org/F4320321114","display_name":"Bundesministerium f\u00fcr Bildung und Forschung","ror":"https://ror.org/04pz7b180"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2626667877.pdf","grobid_xml":"https://content.openalex.org/works/W2626667877.grobid-xml"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W22861983","https://openalex.org/W1522301498","https://openalex.org/W1731081199","https://openalex.org/W1981208470","https://openalex.org/W2086511124","https://openalex.org/W2163302275","https://openalex.org/W2271840356","https://openalex.org/W2426267443","https://openalex.org/W2427527485","https://openalex.org/W2510358553","https://openalex.org/W2516930406","https://openalex.org/W2552027021","https://openalex.org/W2560647685","https://openalex.org/W2949821452","https://openalex.org/W2950133940","https://openalex.org/W2950748123","https://openalex.org/W2951815760","https://openalex.org/W2953127297","https://openalex.org/W2964059111"],"related_works":["https://openalex.org/W2963341956","https://openalex.org/W2427527485","https://openalex.org/W2965373594","https://openalex.org/W2963403868","https://openalex.org/W2250539671","https://openalex.org/W3163333714","https://openalex.org/W2740036065","https://openalex.org/W1980949147","https://openalex.org/W2951815760","https://openalex.org/W2911489562","https://openalex.org/W2787560479","https://openalex.org/W162616406","https://openalex.org/W2765752452","https://openalex.org/W2735827947","https://openalex.org/W2962716475","https://openalex.org/W2890961898","https://openalex.org/W2941424089","https://openalex.org/W2887103446","https://openalex.org/W2978990807","https://openalex.org/W3105698638"],"abstract_inverted_index":{"Factoid":[0],"question":[1],"answering":[2],"(QA)":[3],"has":[4],"recently":[5],"benefited":[6],"from":[7,65],"the":[8,69],"development":[9],"of":[10],"deep":[11],"learning":[12],"(DL)":[13],"systems.":[14],"Neural":[15],"network":[16],"models":[17],"outperform":[18],"traditional":[19],"approaches":[20],"in":[21,47],"domains":[22],"where":[23],"large":[24],"datasets":[25,55],"exist,":[26],"such":[27,51],"as":[28,52],"SQuAD":[29],"(":[30],"100,":[31],"000":[32],"questions)":[33],"for":[34,72],"Wikipedia":[35],"articles.":[36],"However,":[37],"these":[38],"systems":[39],"have":[40],"not":[41],"yet":[42],"been":[43],"applied":[44],"to":[45,60],"QA":[46,74,86],"more":[48],"specific":[49],"domains,":[50],"biomedicine,":[53],"because":[54],"are":[56],"generally":[57],"too":[58],"small":[59],"train":[61],"a":[62],"DL":[63],"system":[64],"scratch.":[66],"For":[67],"example,":[68],"BioASQ":[70],"dataset":[71],"biomedical":[73],"comprises":[75],"less":[76],"then":[77],"900":[78],"factoid":[79],"(single":[80],"answer)":[81],"and":[82],"list":[83],"(multiple":[84],"answers)":[85],"instances.":[87]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}