{"id":"https://openalex.org/W2897471207","doi":"https://doi.org/10.1145/3269206.3269277","title":"Using Word Embeddings for Information Retrieval","display_name":"Using Word Embeddings for Information Retrieval","publication_year":2018,"publication_date":"2018-10-17","ids":{"openalex":"https://openalex.org/W2897471207","doi":"https://doi.org/10.1145/3269206.3269277","mag":"2897471207"},"language":"en","primary_location":{"id":"doi:10.1145/3269206.3269277","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3269206.3269277","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM International Conference on Information and Knowledge Management","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/A5000936680","display_name":"Dwaipayan Roy","orcid":"https://orcid.org/0000-0002-5962-5983"},"institutions":[{"id":"https://openalex.org/I6498739","display_name":"Indian Statistical Institute","ror":"https://ror.org/00q2w1j53","country_code":"IN","type":"education","lineage":["https://openalex.org/I6498739"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Dwaipayan Roy","raw_affiliation_strings":["Indian Statistical Institute, Kolkata, India"],"affiliations":[{"raw_affiliation_string":"Indian Statistical Institute, Kolkata, India","institution_ids":["https://openalex.org/I6498739"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082339849","display_name":"Debasis Ganguly","orcid":"https://orcid.org/0000-0003-0050-7138"},"institutions":[{"id":"https://openalex.org/I4210145784","display_name":"IBM Research - Ireland","ror":"https://ror.org/04jnxr720","country_code":"IE","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210145784"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Debasis Ganguly","raw_affiliation_strings":["IBM Research, Dublin, Ireland, Dublin, Ireland"],"affiliations":[{"raw_affiliation_string":"IBM Research, Dublin, Ireland, Dublin, Ireland","institution_ids":["https://openalex.org/I4210145784"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022961965","display_name":"Sumit Bhatia","orcid":"https://orcid.org/0000-0002-8146-4100"},"institutions":[{"id":"https://openalex.org/I4210103279","display_name":"IBM Research - India","ror":"https://ror.org/014wt7r80","country_code":"IN","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210103279","https://openalex.org/I4210114115"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sumit Bhatia","raw_affiliation_strings":["IBM Research, Delhi, India, Delhi, India"],"affiliations":[{"raw_affiliation_string":"IBM Research, Delhi, India, Delhi, India","institution_ids":["https://openalex.org/I4210103279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085995102","display_name":"Srikanta Bedathur","orcid":"https://orcid.org/0000-0002-3949-2175"},"institutions":[{"id":"https://openalex.org/I68891433","display_name":"Indian Institute of Technology Delhi","ror":"https://ror.org/049tgcd06","country_code":"IN","type":"education","lineage":["https://openalex.org/I68891433"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Srikanta Bedathur","raw_affiliation_strings":["Indian Institute of Technology, Delhi, Delhi, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology, Delhi, Delhi, India","institution_ids":["https://openalex.org/I68891433"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052357764","display_name":"Mandar Mitra","orcid":"https://orcid.org/0009-0007-8026-3220"},"institutions":[{"id":"https://openalex.org/I6498739","display_name":"Indian Statistical Institute","ror":"https://ror.org/00q2w1j53","country_code":"IN","type":"education","lineage":["https://openalex.org/I6498739"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Mandar Mitra","raw_affiliation_strings":["Indian Statistical Institute, Kolkata, Kolkata, India"],"affiliations":[{"raw_affiliation_string":"Indian Statistical Institute, Kolkata, Kolkata, India","institution_ids":["https://openalex.org/I6498739"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5000936680"],"corresponding_institution_ids":["https://openalex.org/I6498739"],"apc_list":null,"apc_paid":null,"fwci":2.769,"has_fulltext":false,"cited_by_count":40,"citation_normalized_percentile":{"value":0.9256648,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1835","last_page":"1838"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":1.0,"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":1.0,"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":0.9997000098228455,"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9977999925613403,"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":0.8243798017501831},{"id":"https://openalex.org/keywords/word2vec","display_name":"Word2vec","score":0.8152185678482056},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.6724407076835632},{"id":"https://openalex.org/keywords/vocabulary","display_name":"Vocabulary","score":0.637047290802002},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.623367428779602},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5779171586036682},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.542737603187561},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5417472124099731},{"id":"https://openalex.org/keywords/word-embedding","display_name":"Word embedding","score":0.47739261388778687},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.466207355260849},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4553738534450531},{"id":"https://openalex.org/keywords/query-expansion","display_name":"Query expansion","score":0.4382406771183014},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.3700893521308899},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07791063189506531}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8243798017501831},{"id":"https://openalex.org/C2776461190","wikidata":"https://www.wikidata.org/wiki/Q22673982","display_name":"Word2vec","level":3,"score":0.8152185678482056},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.6724407076835632},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.637047290802002},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.623367428779602},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5779171586036682},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.542737603187561},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5417472124099731},{"id":"https://openalex.org/C2777462759","wikidata":"https://www.wikidata.org/wiki/Q18395344","display_name":"Word embedding","level":3,"score":0.47739261388778687},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.466207355260849},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4553738534450531},{"id":"https://openalex.org/C99016210","wikidata":"https://www.wikidata.org/wiki/Q5488129","display_name":"Query expansion","level":2,"score":0.4382406771183014},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.3700893521308899},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07791063189506531},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3269206.3269277","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3269206.3269277","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1973289172","https://openalex.org/W2031794629","https://openalex.org/W2045865594","https://openalex.org/W2055981215","https://openalex.org/W2270593706","https://openalex.org/W2405884322","https://openalex.org/W2466445867","https://openalex.org/W2493916176","https://openalex.org/W2515351093","https://openalex.org/W2516925101","https://openalex.org/W2536015822","https://openalex.org/W2536575021","https://openalex.org/W2539671052"],"related_works":["https://openalex.org/W2946409105","https://openalex.org/W3152932816","https://openalex.org/W2985392712","https://openalex.org/W4388996947","https://openalex.org/W2798009317","https://openalex.org/W4382201653","https://openalex.org/W3203949288","https://openalex.org/W3133567596","https://openalex.org/W4312127319","https://openalex.org/W2998070955"],"abstract_inverted_index":{"Neural":[0],"word":[1,53,101],"embedding":[2],"approaches,":[3],"due":[4],"to":[5,8,45,60,114],"their":[6,56],"ability":[7],"capture":[9],"semantic":[10],"meanings":[11],"of":[12,19,52,67,81,98,100,118],"vocabulary":[13],"terms,":[14],"have":[15,26],"recently":[16],"gained":[17],"attention":[18],"the":[20,50,65,74,79,116],"information":[21],"retrieval":[22,34,87],"(IR)":[23],"community":[24],"and":[25,55,77,91,107],"shown":[27],"promising":[28],"results":[29],"in":[30],"improving":[31],"ad":[32,85],"hoc":[33,86],"performance.":[35],"It":[36],"has":[37],"been":[38],"observed":[39],"that":[40],"these":[41,119],"approaches":[42],"are":[43],"sensitive":[44],"various":[46],"choices":[47],"made":[48],"during":[49],"learning":[51],"embeddings":[54,109],"usage,":[57],"often":[58],"leading":[59],"poor":[61],"reproducibility.":[62],"We":[63,94],"study":[64],"effect":[66],"varying":[68],"following":[69],"two":[70],"parameters,":[71],"viz.,":[72],"i)":[73],"term":[75],"normalization":[76],"ii)":[78],"choice":[80],"training":[82],"collection,":[83],"on":[84,121],"performance":[88],"with":[89],"word2vec":[90],"fastText":[92],"embeddings.":[93],"present":[95],"quantitative":[96],"estimates":[97],"similarity":[99],"vectors":[102],"obtained":[103],"under":[104],"different":[105],"settings,":[106],"use":[108],"based":[110],"query":[111],"expansion":[112],"task":[113],"understand":[115],"effects":[117],"parameters":[120],"IR":[122],"effectiveness.":[123]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}