{"id":"https://openalex.org/W3034699210","doi":"https://doi.org/10.1145/3397271.3401287","title":"A Study of Methods for the Generation of Domain-Aware Word Embeddings","display_name":"A Study of Methods for the Generation of Domain-Aware Word Embeddings","publication_year":2020,"publication_date":"2020-07-25","ids":{"openalex":"https://openalex.org/W3034699210","doi":"https://doi.org/10.1145/3397271.3401287","mag":"3034699210"},"language":"en","primary_location":{"id":"doi:10.1145/3397271.3401287","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3397271.3401287","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"type":"article","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/A5006755170","display_name":"Dominic Seyler","orcid":null},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dominic Seyler","raw_affiliation_strings":["University of Illinois at Urbana-Champaign, Urbana, IL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign, Urbana, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028518494","display_name":"ChengXiang Zhai","orcid":"https://orcid.org/0000-0002-6434-3702"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"ChengXiang Zhai","raw_affiliation_strings":["University of Illinois at Urbana-Champaign, Urbana, IL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign, Urbana, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2708,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.63522067,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1609","last_page":"1612"},"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":0.9998000264167786,"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/T10260","display_name":"Software Engineering Research","score":0.9911999702453613,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.8086730241775513},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.7496981024742126},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.7414058446884155},{"id":"https://openalex.org/keywords/concatenation","display_name":"Concatenation (mathematics)","score":0.7344287633895874},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6277974843978882},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6149311065673828},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.5789936184883118},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5646768808364868},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5470110774040222},{"id":"https://openalex.org/keywords/word-embedding","display_name":"Word embedding","score":0.4450996220111847},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3315125107765198},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12295553088188171},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.10169601440429688},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.08792424201965332}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8086730241775513},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.7496981024742126},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.7414058446884155},{"id":"https://openalex.org/C87619178","wikidata":"https://www.wikidata.org/wiki/Q126002","display_name":"Concatenation (mathematics)","level":2,"score":0.7344287633895874},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6277974843978882},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6149311065673828},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.5789936184883118},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5646768808364868},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5470110774040222},{"id":"https://openalex.org/C2777462759","wikidata":"https://www.wikidata.org/wiki/Q18395344","display_name":"Word embedding","level":3,"score":0.4450996220111847},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3315125107765198},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12295553088188171},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.10169601440429688},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.08792424201965332},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3397271.3401287","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3397271.3401287","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.46000000834465027}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1503259811","https://openalex.org/W1832693441","https://openalex.org/W2153579005","https://openalex.org/W2250539671","https://openalex.org/W2251771443","https://openalex.org/W2572064709","https://openalex.org/W2741608233","https://openalex.org/W2767350339","https://openalex.org/W2805641541","https://openalex.org/W2962739339","https://openalex.org/W2963341956","https://openalex.org/W2998704965","https://openalex.org/W4285719527","https://openalex.org/W6680532216"],"related_works":["https://openalex.org/W947140380","https://openalex.org/W4286432911","https://openalex.org/W4230884544","https://openalex.org/W4245453790","https://openalex.org/W3194985222","https://openalex.org/W3216571906","https://openalex.org/W4214830338","https://openalex.org/W2518587255","https://openalex.org/W4287599800","https://openalex.org/W4385432812"],"abstract_inverted_index":{"Word":[0],"embeddings":[1,14,39,57],"are":[2,20,87,93,103],"essential":[3],"components":[4],"for":[5,53,89],"many":[6],"text":[7,18,64,74],"data":[8],"applications.":[9],"In":[10,46],"most":[11],"work,":[12],"\"out-of-the-box\"":[13],"trained":[15],"on":[16,59],"general":[17,61,94],"corpora":[19],"used,":[21],"but":[22],"they":[23,92],"can":[24,117],"be":[25,97],"less":[26],"effective":[27],"when":[28],"applied":[29,98],"to":[30,35,96,99,106],"domain-specific":[31,63,90],"settings.":[32],"Thus,":[33],"how":[34],"create":[36],"\"domain-aware\"":[37],"word":[38,56],"is":[40],"an":[41],"interesting":[42],"open":[43],"research":[44],"question.":[45],"this":[47],"paper,":[48],"we":[49],"study":[50],"three":[51,115],"methods":[52,116],"creating":[54],"domain-aware":[55],"based":[58],"both":[60],"and":[62,76,102],"corpora,":[65],"including":[66],"concatenation":[67],"of":[68,73,78],"embedding":[69,80],"vectors,":[70],"weighted":[71],"fusion":[72],"data,":[75],"interpolation":[77,122],"aligned":[79],"vectors.":[81],"Even":[82],"though":[83],"the":[84,121],"investigated":[85],"strategies":[86],"tailored":[88],"tasks,":[91],"enough":[95],"any":[100],"domain":[101],"not":[104],"specific":[105],"a":[107],"single":[108],"task.":[109],"Experimental":[110],"results":[111],"show":[112],"that":[113],"all":[114],"work":[118],"well,":[119],"however,":[120],"method":[123],"consistently":[124],"works":[125],"best.":[126]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}