{"id":"https://openalex.org/W1977609859","doi":"https://doi.org/10.1145/1076034.1076176","title":"Noun sense induction using web search results","display_name":"Noun sense induction using web search results","publication_year":2005,"publication_date":"2005-08-15","ids":{"openalex":"https://openalex.org/W1977609859","doi":"https://doi.org/10.1145/1076034.1076176","mag":"1977609859"},"language":"en","primary_location":{"id":"doi:10.1145/1076034.1076176","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1076034.1076176","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th annual 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/A5007765880","display_name":"Goldee Udani","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Goldee Udani","raw_affiliation_strings":["StreamSage Inc., Washington, DC"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"StreamSage Inc., Washington, DC","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006765506","display_name":"Shachi Dave","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shachi Dave","raw_affiliation_strings":["StreamSage Inc., Washington, DC"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"StreamSage Inc., Washington, DC","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035387736","display_name":"Anthony R. Davis","orcid":"https://orcid.org/0000-0003-2873-9555"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Anthony Davis","raw_affiliation_strings":["StreamSage Inc., Washington, DC"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"StreamSage Inc., Washington, DC","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009756712","display_name":"Tim Sibley","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tim Sibley","raw_affiliation_strings":["StreamSage Inc., Washington, DC"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"StreamSage Inc., Washington, DC","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.2972,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.89115025,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"657","last_page":"658"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","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/T10181","display_name":"Natural Language Processing Techniques","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/T10028","display_name":"Topic Modeling","score":0.9993000030517578,"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/T12031","display_name":"Speech and dialogue systems","score":0.9944000244140625,"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":0.791479229927063},{"id":"https://openalex.org/keywords/noun","display_name":"Noun","score":0.6833012104034424},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6709828972816467},{"id":"https://openalex.org/keywords/word-sense-disambiguation","display_name":"Word-sense disambiguation","score":0.5444392561912537},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5396180152893066},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5325749516487122},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.49271515011787415},{"id":"https://openalex.org/keywords/part-of-speech","display_name":"Part of speech","score":0.42392444610595703},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4115191400051117},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1135779619216919},{"id":"https://openalex.org/keywords/wordnet","display_name":"WordNet","score":0.11026915907859802}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.791479229927063},{"id":"https://openalex.org/C121934690","wikidata":"https://www.wikidata.org/wiki/Q1084","display_name":"Noun","level":2,"score":0.6833012104034424},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6709828972816467},{"id":"https://openalex.org/C51646954","wikidata":"https://www.wikidata.org/wiki/Q48522","display_name":"Word-sense disambiguation","level":3,"score":0.5444392561912537},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5396180152893066},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5325749516487122},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.49271515011787415},{"id":"https://openalex.org/C123406163","wikidata":"https://www.wikidata.org/wiki/Q82042","display_name":"Part of speech","level":2,"score":0.42392444610595703},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4115191400051117},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1135779619216919},{"id":"https://openalex.org/C157659113","wikidata":"https://www.wikidata.org/wiki/Q533822","display_name":"WordNet","level":2,"score":0.11026915907859802},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1076034.1076176","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1076034.1076176","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th annual 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","score":0.8500000238418579,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W169045877","https://openalex.org/W2101210369","https://openalex.org/W2130337399","https://openalex.org/W2612384978","https://openalex.org/W2997914541"],"related_works":["https://openalex.org/W2188275805","https://openalex.org/W2904069821","https://openalex.org/W2117805747","https://openalex.org/W3087778885","https://openalex.org/W2305197319","https://openalex.org/W2359986910","https://openalex.org/W1920940326","https://openalex.org/W3092520036","https://openalex.org/W3094081749","https://openalex.org/W4386146983"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"an":[3],"algorithm":[4,18],"for":[5],"unsupervised":[6],"noun":[7],"sense":[8],"induction,":[9],"based":[10],"on":[11,33],"clustering":[12],"of":[13,70],"Web":[14],"search":[15],"results.":[16],"The":[17],"does":[19,64],"not":[20,54,65],"utilize":[21],"labeled":[22],"training":[23],"instances":[24],"or":[25,58],"any":[26],"other":[27,45,59],"external":[28],"knowledge":[29],"source.":[30],"Preliminary":[31],"results":[32],"a":[34],"small":[35],"dataset":[36],"show":[37],"that":[38,67],"this":[39],"technique":[40],"provides":[41],"two":[42],"advantages":[43],"over":[44],"techniques":[46],"in":[47,56,75],"the":[48,68],"literature:":[49],"it":[50,63],"detects":[51],"real-world":[52],"senses":[53,72],"found":[55],"dictionaries":[57],"lexical":[60],"resources,":[61],"and":[62],"require":[66],"number":[69],"word":[71],"be":[73],"specified":[74],"advance.":[76]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}