{"id":"https://openalex.org/W2251157338","doi":"https://doi.org/10.18653/v1/w15-3820","title":"Evaluating distributed word representations for capturing semantics of biomedical concepts","display_name":"Evaluating distributed word representations for capturing semantics of biomedical concepts","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W2251157338","doi":"https://doi.org/10.18653/v1/w15-3820","mag":"2251157338"},"language":"en","primary_location":{"id":"doi:10.18653/v1/w15-3820","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w15-3820","pdf_url":"https://www.aclweb.org/anthology/W15-3820.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 BioNLP 15","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/W15-3820.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5013150061","display_name":"MUNEEB TH","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"MUNEEB TH","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101857471","display_name":"Sunil Kumar Sahu","orcid":"https://orcid.org/0000-0001-6860-9208"},"institutions":[{"id":"https://openalex.org/I1317621060","display_name":"Indian Institute of Technology Guwahati","ror":"https://ror.org/0022nd079","country_code":"IN","type":"education","lineage":["https://openalex.org/I1317621060"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sunil Sahu","raw_affiliation_strings":["Department of Computer Science and Engineering, Indian Institute of Technology Guwahati, Assam -781039, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Indian Institute of Technology Guwahati, Assam -781039, India","institution_ids":["https://openalex.org/I1317621060"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040626471","display_name":"Ashish Anand","orcid":"https://orcid.org/0000-0002-0024-3358"},"institutions":[{"id":"https://openalex.org/I1317621060","display_name":"Indian Institute of Technology Guwahati","ror":"https://ror.org/0022nd079","country_code":"IN","type":"education","lineage":["https://openalex.org/I1317621060"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ashish Anand","raw_affiliation_strings":["Department of Computer Science and Engineering, Indian Institute of Technology Guwahati, Assam -781039, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Indian Institute of Technology Guwahati, Assam -781039, India","institution_ids":["https://openalex.org/I1317621060"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5013150061"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":18.694,"has_fulltext":true,"cited_by_count":92,"citation_normalized_percentile":{"value":0.99261714,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"158","last_page":"163"},"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":0.9990000128746033,"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":0.9976000189781189,"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":0.7856791019439697},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.72252357006073},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.6358140110969543},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5351638793945312},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41538164019584656},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.30683690309524536},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.2628786265850067}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7856791019439697},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.72252357006073},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.6358140110969543},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5351638793945312},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41538164019584656},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.30683690309524536},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.2628786265850067},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/w15-3820","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w15-3820","pdf_url":"https://www.aclweb.org/anthology/W15-3820.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 BioNLP 15","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/w15-3820","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w15-3820","pdf_url":"https://www.aclweb.org/anthology/W15-3820.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 BioNLP 15","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.7400000095367432,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2251157338.pdf","grobid_xml":"https://content.openalex.org/works/W2251157338.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W202767273","https://openalex.org/W1614298861","https://openalex.org/W1615991656","https://openalex.org/W1652505363","https://openalex.org/W1662133657","https://openalex.org/W1889268436","https://openalex.org/W1945950296","https://openalex.org/W1979185006","https://openalex.org/W1981244178","https://openalex.org/W2084377579","https://openalex.org/W2131462252","https://openalex.org/W2140679639","https://openalex.org/W2153579005","https://openalex.org/W2158139315","https://openalex.org/W2158899491","https://openalex.org/W2171469118","https://openalex.org/W2187089797","https://openalex.org/W2250539671","https://openalex.org/W2251253014","https://openalex.org/W2912225506","https://openalex.org/W2950577311","https://openalex.org/W2952230511","https://openalex.org/W4285719527","https://openalex.org/W4293506311","https://openalex.org/W4294170691"],"related_works":["https://openalex.org/W2360025963","https://openalex.org/W2360785147","https://openalex.org/W2789919619","https://openalex.org/W2293457016","https://openalex.org/W2353329674","https://openalex.org/W2380389143","https://openalex.org/W1551406738","https://openalex.org/W4385571594","https://openalex.org/W2082609543","https://openalex.org/W4385574276"],"abstract_inverted_index":{"Recently":[0],"there":[1],"is":[2,61],"a":[3,77,135],"surge":[4],"in":[5,7,16,39,53,97,108,134],"interest":[6],"learning":[8,37],"vector":[9,21,91],"representations":[10,92],"of":[11,35,45,66,80,86,93,100,132,139,155],"words":[12,96,146],"using":[13],"huge":[14],"corpus":[15,99],"unsupervised":[17],"manner.":[18],"Such":[19],"word":[20,26,69,118],"representations,":[22],"also":[23],"known":[24],"as":[25],"embedding,":[27],"have":[28],"been":[29,50],"shown":[30],"to":[31,62,125,162,173],"improve":[32],"the":[33,64,98,114],"performance":[34,65],"machine":[36],"models":[38,157],"several":[40],"NLP":[41],"tasks.":[42],"However":[43],"efficiency":[44],"such":[46],"representation":[47],"has":[48],"not":[49],"systematically":[51],"evaluated":[52,121],"biomedical":[54,87,109],"domain.":[55],"In":[56],"this":[57],"work":[58],"our":[59],"aim":[60],"compare":[63],"two":[67,115],"state-of-the-art":[68],"embedding":[70],"methods,":[71],"namely":[72],"word2vec":[73,167],"and":[74,84,129,144,166],"GloVe":[75],"on":[76],"basic":[78],"task":[79],"reflecting":[81],"semantic":[82,127,130,142],"similarity":[83,128],"relatedness":[85,131],"concepts.":[88],"For":[89],"this,":[90],"all":[94],"unique":[95],"more":[101],"than":[102,176],"1":[103],"million":[104],"full-length":[105],"research":[106],"articles":[107],"domain":[110],"are":[111,120],"obtained":[112],"from":[113],"methods.":[116],"These":[117],"vectors":[119],"for":[122],"their":[123,160],"ability":[124,161],"reflect":[126],"word-pairs":[133],"benchmark":[136],"data":[137],"set":[138],"manually":[140],"curated":[141],"similar":[143],"related":[145],"available":[147],"at":[148],"http://":[149],"rxinformatics.umn.edu.":[150],"We":[151],"observe":[152],"that":[153],"parameters":[154],"these":[156],"do":[158],"affect":[159],"capture":[163],"lexicosemantic":[164],"properties":[165],"with":[168],"particular":[169],"language":[170],"modeling":[171],"seems":[172],"perform":[174],"better":[175],"others.":[177]},"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":9},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":13},{"year":2019,"cited_by_count":12},{"year":2018,"cited_by_count":17},{"year":2017,"cited_by_count":12},{"year":2016,"cited_by_count":10},{"year":2015,"cited_by_count":3}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}