{"id":"https://openalex.org/W4293024028","doi":"https://doi.org/10.1145/3487553.3524703","title":"Biomedical Word Sense Disambiguation with Contextualized Representation Learning","display_name":"Biomedical Word Sense Disambiguation with Contextualized Representation Learning","publication_year":2022,"publication_date":"2022-04-25","ids":{"openalex":"https://openalex.org/W4293024028","doi":"https://doi.org/10.1145/3487553.3524703"},"language":"en","primary_location":{"id":"doi:10.1145/3487553.3524703","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3487553.3524703","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3487553.3524703","source":{"id":"https://openalex.org/S4363608846","display_name":"Companion Proceedings of the Web Conference 2022","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":"Companion Proceedings of the Web Conference 2022","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3487553.3524703","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038448885","display_name":"Mozhgan Saeidi","orcid":"https://orcid.org/0000-0002-1736-0737"},"institutions":[{"id":"https://openalex.org/I129902397","display_name":"Dalhousie University","ror":"https://ror.org/01e6qks80","country_code":"CA","type":"education","lineage":["https://openalex.org/I129902397"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Mozhgan Saeidi","raw_affiliation_strings":["Computer Science, Dalhousie university, Canada"],"affiliations":[{"raw_affiliation_string":"Computer Science, Dalhousie university, Canada","institution_ids":["https://openalex.org/I129902397"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013989913","display_name":"Evangelos Milios","orcid":"https://orcid.org/0000-0001-5549-4675"},"institutions":[{"id":"https://openalex.org/I129902397","display_name":"Dalhousie University","ror":"https://ror.org/01e6qks80","country_code":"CA","type":"education","lineage":["https://openalex.org/I129902397"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Evangelos Milios","raw_affiliation_strings":["Computer Science, Dalhousie University, Canada"],"affiliations":[{"raw_affiliation_string":"Computer Science, Dalhousie University, Canada","institution_ids":["https://openalex.org/I129902397"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019738080","display_name":"Norbert Zeh","orcid":"https://orcid.org/0000-0002-0562-1629"},"institutions":[{"id":"https://openalex.org/I129902397","display_name":"Dalhousie University","ror":"https://ror.org/01e6qks80","country_code":"CA","type":"education","lineage":["https://openalex.org/I129902397"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Norbert Zeh","raw_affiliation_strings":["Computer Science, Dalhousie University, Canada"],"affiliations":[{"raw_affiliation_string":"Computer Science, Dalhousie University, Canada","institution_ids":["https://openalex.org/I129902397"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5038448885"],"corresponding_institution_ids":["https://openalex.org/I129902397"],"apc_list":null,"apc_paid":null,"fwci":0.1039,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.27833441,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"843","last_page":"848"},"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":0.9998999834060669,"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":0.9976999759674072,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8167761564254761},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.7986658215522766},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.710454523563385},{"id":"https://openalex.org/keywords/semeval","display_name":"SemEval","score":0.6524144411087036},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.6070566177368164},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5889816880226135},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.5841602087020874},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5839512348175049},{"id":"https://openalex.org/keywords/novelty","display_name":"Novelty","score":0.5187563896179199},{"id":"https://openalex.org/keywords/meaning","display_name":"Meaning (existential)","score":0.4768199324607849},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.3700468838214874},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.26213106513023376}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8167761564254761},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.7986658215522766},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.710454523563385},{"id":"https://openalex.org/C44572571","wikidata":"https://www.wikidata.org/wiki/Q7448970","display_name":"SemEval","level":3,"score":0.6524144411087036},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.6070566177368164},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5889816880226135},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.5841602087020874},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5839512348175049},{"id":"https://openalex.org/C2778738651","wikidata":"https://www.wikidata.org/wiki/Q16546687","display_name":"Novelty","level":2,"score":0.5187563896179199},{"id":"https://openalex.org/C2780876879","wikidata":"https://www.wikidata.org/wiki/Q3054749","display_name":"Meaning (existential)","level":2,"score":0.4768199324607849},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.3700468838214874},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.26213106513023376},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C27206212","wikidata":"https://www.wikidata.org/wiki/Q34178","display_name":"Theology","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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3487553.3524703","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3487553.3524703","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3487553.3524703","source":{"id":"https://openalex.org/S4363608846","display_name":"Companion Proceedings of the Web Conference 2022","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":"Companion Proceedings of the Web Conference 2022","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3487553.3524703","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3487553.3524703","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3487553.3524703","source":{"id":"https://openalex.org/S4363608846","display_name":"Companion Proceedings of the Web Conference 2022","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":"Companion Proceedings of the Web Conference 2022","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4293024028.pdf","grobid_xml":"https://content.openalex.org/works/W4293024028.grobid-xml"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W1614298861","https://openalex.org/W1755289444","https://openalex.org/W1977182536","https://openalex.org/W2102381086","https://openalex.org/W2127289991","https://openalex.org/W2141617099","https://openalex.org/W2159719802","https://openalex.org/W2251537235","https://openalex.org/W2466190630","https://openalex.org/W2507974895","https://openalex.org/W2518202280","https://openalex.org/W2549835527","https://openalex.org/W2757205734","https://openalex.org/W2888282873","https://openalex.org/W2888329843","https://openalex.org/W2896457183","https://openalex.org/W2948771346","https://openalex.org/W2949320918","https://openalex.org/W2950050806","https://openalex.org/W2962739339","https://openalex.org/W2963850840","https://openalex.org/W2971016963","https://openalex.org/W2997292130","https://openalex.org/W3098275893","https://openalex.org/W3101094968","https://openalex.org/W3115037692","https://openalex.org/W3118485687","https://openalex.org/W3146681443","https://openalex.org/W3156333129","https://openalex.org/W3160757516","https://openalex.org/W3176268775","https://openalex.org/W3196887708","https://openalex.org/W4288245695","https://openalex.org/W4288314082","https://openalex.org/W4288332178","https://openalex.org/W4289671153","https://openalex.org/W4289671624","https://openalex.org/W6748634344","https://openalex.org/W6767594909"],"related_works":["https://openalex.org/W2381242807","https://openalex.org/W3126131230","https://openalex.org/W2347541121","https://openalex.org/W2080951048","https://openalex.org/W4288804799","https://openalex.org/W3032237421","https://openalex.org/W2390346111","https://openalex.org/W3011883280","https://openalex.org/W2369082698","https://openalex.org/W2188275805"],"abstract_inverted_index":{"Representation":[0],"learning":[1,90],"is":[2,130],"an":[3],"important":[4],"component":[5],"in":[6,28,57,121,127,143,184],"solving":[7],"most":[8],"Natural":[9],"Language":[10],"Processing":[11],"(NLP)":[12],"problems,":[13],"including":[14],"Word":[15],"Sense":[16],"Disambiguation":[17],"(WSD).":[18],"The":[19,125],"WSD":[20,40],"task":[21],"tries":[22],"to":[23,147,158,162],"find":[24],"the":[25,48,51,54,58,67,70,79,82,87,99,122,131,134,138,179],"best":[26,44],"meaning":[27,45,164],"a":[29,33,113,144,155,167],"knowledge":[30,83,135],"base":[31,116,136],"for":[32],"word":[34,56,63,151,156],"with":[35,175],"multiple":[36],"meanings":[37],"(ambiguous":[38],"word).":[39],"methods":[41,177],"choose":[42],"this":[43,109],"based":[46],"on":[47,98],"context,":[49],"i.e.,":[50],"words":[52],"around":[53],"ambiguous":[55],"input":[59],"text":[60,102,187],"document.":[61],"Thus,":[62],"representations":[64],"may":[65],"improve":[66],"effectiveness":[68,180],"of":[69,86,133,149,181,186],"disambiguation":[71],"models":[72],"if":[73],"they":[74,94],"carry":[75],"useful":[76],"information":[77],"from":[78],"context":[80],"and":[81,103,137],"base.":[84],"Most":[85],"current":[88],"representation":[89,119,129,141],"approaches":[91],"are":[92,95,104],"that":[93,148],"mostly":[96],"trained":[97],"general":[100],"English":[101],"not":[105],"domain":[106],"specified.":[107],"In":[108],"paper,":[110],"we":[111],"present":[112],"novel":[114],"contextual-knowledge":[115],"aware":[117],"sense":[118],"method":[120,183],"biomedical":[123],"domain.":[124],"novelty":[126],"our":[128,173,182],"integration":[132],"context.":[139],"This":[140],"lies":[142],"space":[145],"comparable":[146],"contextualized":[150],"vectors,":[152],"thus":[153],"allowing":[154],"occurrence":[157],"be":[159],"easily":[160],"linked":[161],"its":[163],"by":[165],"applying":[166],"simple":[168],"nearest":[169],"neighbor":[170],"approach.":[171],"Comparing":[172],"approach":[174],"state-of-the-art":[176],"shows":[178],"terms":[185],"coherence.":[188]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}