{"id":"https://openalex.org/W2140121675","doi":"https://doi.org/10.1145/1277741.1277861","title":"Management of keyword variation with frequency based generation of word forms in IR","display_name":"Management of keyword variation with frequency based generation of word forms in IR","publication_year":2007,"publication_date":"2007-07-23","ids":{"openalex":"https://openalex.org/W2140121675","doi":"https://doi.org/10.1145/1277741.1277861","mag":"2140121675"},"language":"en","primary_location":{"id":"doi:10.1145/1277741.1277861","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1277741.1277861","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th 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/A5014360834","display_name":"Kimmo Kettunen","orcid":"https://orcid.org/0000-0003-2747-1382"},"institutions":[{"id":"https://openalex.org/I166825849","display_name":"Tampere University","ror":"https://ror.org/033003e23","country_code":"FI","type":"education","lineage":["https://openalex.org/I166825849"]},{"id":"https://openalex.org/I4210133110","display_name":"Tampere University","ror":null,"country_code":"FI","type":null,"lineage":["https://openalex.org/I4210133110"]}],"countries":["FI"],"is_corresponding":true,"raw_author_name":"Kimmo Kettunen","raw_affiliation_strings":["University of Tampere, Tampere, Finland","Univ. of Tampere, Tampere, Finland#TAB#"],"affiliations":[{"raw_affiliation_string":"University of Tampere, Tampere, Finland","institution_ids":["https://openalex.org/I166825849","https://openalex.org/I4210133110"]},{"raw_affiliation_string":"Univ. of Tampere, Tampere, Finland#TAB#","institution_ids":["https://openalex.org/I166825849"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5014360834"],"corresponding_institution_ids":["https://openalex.org/I166825849","https://openalex.org/I4210133110"],"apc_list":null,"apc_paid":null,"fwci":0.9385,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.82481839,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"691","last_page":"692"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","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"}},"topics":[{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","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/T10181","display_name":"Natural Language Processing Techniques","score":0.9976999759674072,"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":0.9962999820709229,"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/variation","display_name":"Variation (astronomy)","score":0.873974084854126},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7358826994895935},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.6743389368057251},{"id":"https://openalex.org/keywords/german","display_name":"German","score":0.6496387720108032},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5594169497489929},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5223873257637024},{"id":"https://openalex.org/keywords/word-lists-by-frequency","display_name":"Word lists by frequency","score":0.4998490810394287},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.42509475350379944},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.33488741517066956}],"concepts":[{"id":"https://openalex.org/C2778334786","wikidata":"https://www.wikidata.org/wiki/Q1586270","display_name":"Variation (astronomy)","level":2,"score":0.873974084854126},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7358826994895935},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.6743389368057251},{"id":"https://openalex.org/C154775046","wikidata":"https://www.wikidata.org/wiki/Q188","display_name":"German","level":2,"score":0.6496387720108032},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5594169497489929},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5223873257637024},{"id":"https://openalex.org/C175293574","wikidata":"https://www.wikidata.org/wiki/Q697133","display_name":"Word lists by frequency","level":3,"score":0.4998490810394287},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.42509475350379944},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.33488741517066956},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"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/C44870925","wikidata":"https://www.wikidata.org/wiki/Q37547","display_name":"Astrophysics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1277741.1277861","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1277741.1277861","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th 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":0.6700000166893005,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W576095321","https://openalex.org/W1542487946","https://openalex.org/W1970607377","https://openalex.org/W1996038205","https://openalex.org/W2008579625","https://openalex.org/W2029190513","https://openalex.org/W2115054880","https://openalex.org/W2133656449","https://openalex.org/W2143949926"],"related_works":["https://openalex.org/W2315527029","https://openalex.org/W2127709934","https://openalex.org/W1588516692","https://openalex.org/W1970935140","https://openalex.org/W1512024959","https://openalex.org/W2017557587","https://openalex.org/W2320411771","https://openalex.org/W4240310336","https://openalex.org/W2346578824","https://openalex.org/W1976200646"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3],"new":[4],"management":[5],"method":[6,13,53],"for":[7,36],"morphological":[8,44,72],"variation":[9,45],"of":[10,27,43,71],"keywords.":[11],"The":[12,51],"is":[14,21,34],"called":[15],"FCG,":[16],"Frequent":[17],"Case":[18],"Generation.":[19],"It":[20],"based":[22],"on":[23],"the":[24],"skewed":[25],"distributions":[26],"word":[28],"forms":[29],"in":[30],"natural":[31],"languages":[32,37],"and":[33,65],"suitable":[35],"that":[38],"have":[39],"either":[40],"fair":[41],"amount":[42],"or":[46],"are":[47],"morphologically":[48],"very":[49],"rich.":[50],"proposed":[52],"has":[54],"been":[55],"evaluated":[56],"so":[57],"far":[58],"with":[59],"four":[60],"languages,":[61],"Finnish,":[62],"Swedish,":[63],"German":[64],"Russian,":[66],"which":[67],"show":[68],"varying":[69],"degrees":[70],"complexity.":[73]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}