{"id":"https://openalex.org/W2946571662","doi":"https://doi.org/10.1109/access.2019.2913694","title":"Incorporating Domain Knowledge into Natural Language Inference on Clinical Texts","display_name":"Incorporating Domain Knowledge into Natural Language Inference on Clinical Texts","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2946571662","doi":"https://doi.org/10.1109/access.2019.2913694","mag":"2946571662"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2913694","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2913694","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08701433.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08701433.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101836278","display_name":"Mingming Lu","orcid":"https://orcid.org/0000-0002-4762-1280"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mingming Lu","raw_affiliation_strings":["Department of Computer Science and Technology, Tongji University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-4762-1280","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091831237","display_name":"Yu Fang","orcid":"https://orcid.org/0000-0003-1176-3225"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Fang","raw_affiliation_strings":["Department of Computer Science and Technology, Tongji University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062288839","display_name":"Fengqi Yan","orcid":null},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengqi Yan","raw_affiliation_strings":["Department of Computer Science and Technology, Tongji University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026237130","display_name":"Maozhen Li","orcid":"https://orcid.org/0000-0002-0820-5487"},"institutions":[{"id":"https://openalex.org/I59433898","display_name":"Brunel University of London","ror":"https://ror.org/00dn4t376","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I59433898"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Maozhen Li","raw_affiliation_strings":["Department of Electronic and Computer Engineering, Brunel University London, UB8 3PH, Uxbridge, U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic and Computer Engineering, Brunel University London, UB8 3PH, Uxbridge, U.K","institution_ids":["https://openalex.org/I59433898"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101836278"],"corresponding_institution_ids":["https://openalex.org/I116953780"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.0325,"has_fulltext":true,"cited_by_count":22,"citation_normalized_percentile":{"value":0.89983985,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"7","issue":null,"first_page":"57623","last_page":"57632"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9991999864578247,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9986000061035156,"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":0.8385051488876343},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.7985560894012451},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.7329095005989075},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6797744035720825},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6718867421150208},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.6268045902252197},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.5634828209877014},{"id":"https://openalex.org/keywords/domain-knowledge","display_name":"Domain knowledge","score":0.4979379177093506},{"id":"https://openalex.org/keywords/logical-consequence","display_name":"Logical consequence","score":0.47012579441070557},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.12248343229293823},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06974330544471741}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8385051488876343},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7985560894012451},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.7329095005989075},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6797744035720825},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6718867421150208},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6268045902252197},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.5634828209877014},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.4979379177093506},{"id":"https://openalex.org/C134752490","wikidata":"https://www.wikidata.org/wiki/Q374182","display_name":"Logical consequence","level":2,"score":0.47012579441070557},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.12248343229293823},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06974330544471741},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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":4,"locations":[{"id":"doi:10.1109/access.2019.2913694","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2913694","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08701433.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:bura.brunel.ac.uk:2438/18552","is_oa":true,"landing_page_url":"https://orcid.org/0000-0002-4762-1280","pdf_url":null,"source":{"id":"https://openalex.org/S4306401473","display_name":"Brunel University Research Archive (BURA) (Brunel University London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I59433898","host_organization_name":"Brunel University of London","host_organization_lineage":["https://openalex.org/I59433898"],"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":null,"raw_type":"Article"},{"id":"pmh:oai:doaj.org/article:b1bd8bdb1ee54b7caf7f43abdb75e9fc","is_oa":true,"landing_page_url":"https://doaj.org/article/b1bd8bdb1ee54b7caf7f43abdb75e9fc","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":"IEEE Access, Vol 7, Pp 57623-57632 (2019)","raw_type":"article"},{"id":"pmh:oai:v-lib-bura1.brunel.ac.uk:2438/18552","is_oa":false,"landing_page_url":"http://bura.brunel.ac.uk/handle/2438/18552","pdf_url":null,"source":{"id":"https://openalex.org/S4306401473","display_name":"Brunel University Research Archive (BURA) (Brunel University London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I59433898","host_organization_name":"Brunel University of London","host_organization_lineage":["https://openalex.org/I59433898"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2913694","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2913694","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08701433.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.8100000023841858,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G348953987","display_name":null,"funder_award_id":"22120180117","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2946571662.pdf","grobid_xml":"https://content.openalex.org/works/W2946571662.grobid-xml"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W1503259811","https://openalex.org/W1522301498","https://openalex.org/W1840435438","https://openalex.org/W1981208470","https://openalex.org/W2064675550","https://openalex.org/W2122402213","https://openalex.org/W2127589108","https://openalex.org/W2130158090","https://openalex.org/W2133564696","https://openalex.org/W2156387975","https://openalex.org/W2159583324","https://openalex.org/W2250539671","https://openalex.org/W2396881363","https://openalex.org/W2464186148","https://openalex.org/W2493916176","https://openalex.org/W2608787653","https://openalex.org/W2621404689","https://openalex.org/W2798416089","https://openalex.org/W2808633496","https://openalex.org/W2888120268","https://openalex.org/W2951595529","https://openalex.org/W2951807227","https://openalex.org/W2962729168","https://openalex.org/W2962765866","https://openalex.org/W2963077723","https://openalex.org/W2963241825","https://openalex.org/W2963542836","https://openalex.org/W2963846996","https://openalex.org/W2963918774","https://openalex.org/W2964189376","https://openalex.org/W2964308564","https://openalex.org/W3099023595","https://openalex.org/W6638836233","https://openalex.org/W6679344019","https://openalex.org/W6682889407","https://openalex.org/W6712503630","https://openalex.org/W6744649695","https://openalex.org/W6750626944","https://openalex.org/W6752515616"],"related_works":["https://openalex.org/W2980673234","https://openalex.org/W2487444950","https://openalex.org/W2250460949","https://openalex.org/W41089150","https://openalex.org/W2784994561","https://openalex.org/W1583422155","https://openalex.org/W1649619740","https://openalex.org/W3213252596","https://openalex.org/W1534006406","https://openalex.org/W2165071883"],"abstract_inverted_index":{"Making":[0],"inference":[1,57,87],"on":[2,82,154],"clinical":[3,32],"texts":[4,33],"is":[5,24,63],"a":[6,39,64,75,113,149],"task":[7,23],"which":[8,55,90],"has":[9],"not":[10],"been":[11],"fully":[12],"studied.":[13],"With":[14],"the":[15,51,83,93,106,144,155,159],"newly":[16],"released,":[17],"expert":[18],"annotated":[19],"MedNLI":[20,156],"dataset,":[21],"this":[22,68,71,109],"being":[25],"boosted.":[26],"Compared":[27],"with":[28,112],"open":[29],"domain":[30],"data,":[31],"present":[34],"unique":[35],"linguistic":[36],"phenomena,":[37],"e.g.,":[38],"large":[40],"number":[41],"of":[42,108,152],"medical":[43,53,78,96,110],"terms":[44],"and":[45,124,147],"abbreviations,":[46],"different":[47],"written":[48],"forms":[49],"for":[50,98],"same":[52],"concept,":[54],"make":[56],"much":[58],"harder.":[59],"Incorporating":[60],"domain-specific":[61,121],"knowledge":[62,160],"way":[65],"to":[66,119,138,166],"eliminate":[67],"problem,":[69],"in":[70],"paper,":[72],"we":[73],"assemble":[74],"new":[76],"incorporating":[77],"concept":[79,97,111],"definitions":[80],"module":[81],"classic":[84],"enhanced":[85,161],"sequential":[86],"model":[88,142],"(ESIM),":[89],"first":[91],"extracts":[92],"most":[94],"relevant":[95],"each":[99],"word,":[100],"if":[101],"it":[102],"exists,":[103],"then":[104],"encodes":[105],"definition":[107,122,127],"bidirectional":[114],"long":[115],"short-term":[116],"network":[117],"(BiLSTM)":[118],"obtain":[120],"representations,":[123],"attends":[125],"these":[126],"representations":[128,163],"over":[129],"vanilla":[130],"word":[131,162],"embeddings.":[132],"The":[133],"empirical":[134],"evaluations":[135],"are":[136],"conducted":[137],"demonstrate":[139],"that":[140],"our":[141],"improves":[143],"prediction":[145],"performance":[146],"achieves":[148],"high":[150],"level":[151],"accuracy":[153],"dataset.":[157],"Specifically,":[158],"contribute":[164],"significantly":[165],"entailment":[167],"class.":[168]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":3}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
