{"id":"https://openalex.org/W4206463706","doi":"https://doi.org/10.1109/ic-nidc54101.2021.9660484","title":"Domain Adaptation for Medical Semantic Textual Similarity","display_name":"Domain Adaptation for Medical Semantic Textual Similarity","publication_year":2021,"publication_date":"2021-11-17","ids":{"openalex":"https://openalex.org/W4206463706","doi":"https://doi.org/10.1109/ic-nidc54101.2021.9660484"},"language":"en","primary_location":{"id":"doi:10.1109/ic-nidc54101.2021.9660484","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ic-nidc54101.2021.9660484","pdf_url":null,"source":{"id":"https://openalex.org/S4363608589","display_name":"2021 7th IEEE International Conference on Network Intelligence and Digital Content (IC-NIDC)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 7th IEEE International Conference on Network Intelligence and Digital Content (IC-NIDC)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5084279065","display_name":"Jimeng Sun","orcid":"https://orcid.org/0000-0003-1512-6426"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jimeng Sun","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100391315","display_name":"Si Li","orcid":"https://orcid.org/0000-0001-9823-3870"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Si Li","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20843073,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"319","last_page":"323"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9955000281333923,"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":0.9847999811172485,"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":0.8553838729858398},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.7313305735588074},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6330769062042236},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6274176836013794},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.6226719617843628},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5911378860473633},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.5826278924942017},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5584069490432739},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5496460199356079},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.5251590609550476},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4350096881389618},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4270772337913513},{"id":"https://openalex.org/keywords/domain-knowledge","display_name":"Domain knowledge","score":0.42575329542160034},{"id":"https://openalex.org/keywords/medical-diagnosis","display_name":"Medical diagnosis","score":0.4130098223686218},{"id":"https://openalex.org/keywords/meaning","display_name":"Meaning (existential)","score":0.41200539469718933},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33263230323791504},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3287922739982605},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.17303025722503662},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.10053062438964844}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8553838729858398},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.7313305735588074},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6330769062042236},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6274176836013794},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.6226719617843628},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5911378860473633},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.5826278924942017},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5584069490432739},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5496460199356079},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.5251590609550476},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4350096881389618},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4270772337913513},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.42575329542160034},{"id":"https://openalex.org/C534262118","wikidata":"https://www.wikidata.org/wiki/Q177719","display_name":"Medical diagnosis","level":2,"score":0.4130098223686218},{"id":"https://openalex.org/C2780876879","wikidata":"https://www.wikidata.org/wiki/Q3054749","display_name":"Meaning (existential)","level":2,"score":0.41200539469718933},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33263230323791504},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3287922739982605},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.17303025722503662},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.10053062438964844},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","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/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"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/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"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/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:10.1109/ic-nidc54101.2021.9660484","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ic-nidc54101.2021.9660484","pdf_url":null,"source":{"id":"https://openalex.org/S4363608589","display_name":"2021 7th IEEE International Conference on Network Intelligence and Digital Content (IC-NIDC)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 7th IEEE International Conference on Network Intelligence and Digital Content (IC-NIDC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.7200000286102295,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G8858434837","display_name":null,"funder_award_id":"61702047","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1565327149","https://openalex.org/W1821462560","https://openalex.org/W2134797427","https://openalex.org/W2159291411","https://openalex.org/W2164943005","https://openalex.org/W2294370754","https://openalex.org/W2373570000","https://openalex.org/W2413794162","https://openalex.org/W2469060249","https://openalex.org/W2523246573","https://openalex.org/W2531207078","https://openalex.org/W2611029872","https://openalex.org/W2876111955","https://openalex.org/W2938830017","https://openalex.org/W2963209464","https://openalex.org/W2963270153","https://openalex.org/W2965373594","https://openalex.org/W2969574947","https://openalex.org/W2984469754","https://openalex.org/W2997636389","https://openalex.org/W3021397474","https://openalex.org/W3035357591","https://openalex.org/W3035431747","https://openalex.org/W3080360467","https://openalex.org/W3093895424","https://openalex.org/W3098308883","https://openalex.org/W4294170691","https://openalex.org/W4301368689","https://openalex.org/W4385245566","https://openalex.org/W6633949838","https://openalex.org/W6638523607","https://openalex.org/W6679909955","https://openalex.org/W6682691769","https://openalex.org/W6683633756","https://openalex.org/W6736907568","https://openalex.org/W6739901393","https://openalex.org/W6753143414","https://openalex.org/W6767284482","https://openalex.org/W6773694339"],"related_works":["https://openalex.org/W2383111961","https://openalex.org/W2365952365","https://openalex.org/W2352448290","https://openalex.org/W2380820513","https://openalex.org/W2913146933","https://openalex.org/W2372385138","https://openalex.org/W4296359239","https://openalex.org/W2043093291","https://openalex.org/W2101155126","https://openalex.org/W2363545964"],"abstract_inverted_index":{"Semantic":[0],"textual":[1],"similarity":[2],"is":[3,26],"a":[4,13,46],"common":[5],"task":[6],"to":[7,34,49,56],"determine":[8],"whether":[9],"two":[10],"sentences":[11],"in":[12],"pair":[14],"own":[15],"the":[16,20,23,57,64,69,86],"same":[17],"meaning.":[18],"In":[19,41],"medical":[21,58],"domain,":[22],"annotated":[24],"data":[25],"limited":[27],"and":[28,62],"sparse,":[29],"which":[30],"brings":[31],"great":[32],"difficulty":[33],"obtain":[35],"accurate":[36],"semantic":[37],"information":[38],"from":[39,53],"it.":[40],"this":[42],"paper,":[43],"we":[44,66],"propose":[45],"two-stream":[47],"model":[48,71],"adapt":[50],"knowledge":[51,73],"learned":[52],"other":[54],"domains":[55],"domain.":[59],"To":[60],"optimize":[61],"reduce":[63],"computation,":[65],"further":[67],"compress":[68],"proposed":[70,80],"by":[72],"distillation.":[74],"Experimental":[75],"results":[76],"show":[77],"that":[78],"our":[79],"method":[81],"achieves":[82],"better":[83],"performance":[84],"than":[85],"baseline":[87],"methods.":[88]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}