{"id":"https://openalex.org/W5745169","doi":"https://doi.org/10.5555/1931390.1931427","title":"Combining linguistic indexes to improve the performances of information retrieval systems: a machine learning based solution","display_name":"Combining linguistic indexes to improve the performances of information retrieval systems: a machine learning based solution","publication_year":2007,"publication_date":"2007-05-30","ids":{"openalex":"https://openalex.org/W5745169","doi":"https://doi.org/10.5555/1931390.1931427","mag":"5745169"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.215.1109","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.215.1109","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"type":"article","indexed_in":[],"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/A5002686446","display_name":"Fabienne Moreau","orcid":null},"institutions":[{"id":"https://openalex.org/I2802519937","display_name":"Institut de Recherche en Informatique et Syst\u00e8mes Al\u00e9atoires","ror":"https://ror.org/00myn0z94","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I205703379","https://openalex.org/I2802204017","https://openalex.org/I2802519937","https://openalex.org/I28221208","https://openalex.org/I4210127572","https://openalex.org/I4210159245","https://openalex.org/I56067802"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Fabienne Moreau","raw_affiliation_strings":["IRISA, Campus universitaire de Beaulieu, Rennes cedex, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IRISA, Campus universitaire de Beaulieu, Rennes cedex, France","institution_ids":["https://openalex.org/I2802519937"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036636249","display_name":"Vincent Claveau","orcid":null},"institutions":[{"id":"https://openalex.org/I2802519937","display_name":"Institut de Recherche en Informatique et Syst\u00e8mes Al\u00e9atoires","ror":"https://ror.org/00myn0z94","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I205703379","https://openalex.org/I2802204017","https://openalex.org/I2802519937","https://openalex.org/I28221208","https://openalex.org/I4210127572","https://openalex.org/I4210159245","https://openalex.org/I56067802"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Vincent Claveau","raw_affiliation_strings":["IRISA, Campus universitaire de Beaulieu, Rennes cedex, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IRISA, Campus universitaire de Beaulieu, Rennes cedex, France","institution_ids":["https://openalex.org/I2802519937"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005508604","display_name":"Pascale S\u00e9billot","orcid":"https://orcid.org/0000-0002-5429-4302"},"institutions":[{"id":"https://openalex.org/I2802519937","display_name":"Institut de Recherche en Informatique et Syst\u00e8mes Al\u00e9atoires","ror":"https://ror.org/00myn0z94","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I205703379","https://openalex.org/I2802204017","https://openalex.org/I2802519937","https://openalex.org/I28221208","https://openalex.org/I4210127572","https://openalex.org/I4210159245","https://openalex.org/I56067802"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Pascale S\u00e9billot","raw_affiliation_strings":["IRISA, Campus universitaire de Beaulieu, Rennes cedex, France"],"raw_orcid":"https://orcid.org/0000-0002-5429-4302","affiliations":[{"raw_affiliation_string":"IRISA, Campus universitaire de Beaulieu, Rennes cedex, France","institution_ids":["https://openalex.org/I2802519937"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I2802519937"],"apc_list":null,"apc_paid":null,"fwci":0.4771,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.73025375,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"369","last_page":"387"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10028","display_name":"Topic Modeling","score":0.9994000196456909,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9966999888420105,"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":0.81602942943573},{"id":"https://openalex.org/keywords/grasp","display_name":"GRASP","score":0.7423511147499084},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6462147235870361},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.611147403717041},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.5848913788795471},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.5354205965995789},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4846973419189453},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.4707983732223511},{"id":"https://openalex.org/keywords/recall","display_name":"Recall","score":0.4650707244873047},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.12364169955253601}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.81602942943573},{"id":"https://openalex.org/C171268870","wikidata":"https://www.wikidata.org/wiki/Q1486676","display_name":"GRASP","level":2,"score":0.7423511147499084},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6462147235870361},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.611147403717041},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.5848913788795471},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.5354205965995789},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4846973419189453},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.4707983732223511},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.4650707244873047},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.12364169955253601},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.215.1109","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.215.1109","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"mag:5745169","is_oa":false,"landing_page_url":"https://perso.univ-rennes2.fr/system/files/users/moreau_f/moreau07c.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7300000190734863,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W11171803","https://openalex.org/W11235290","https://openalex.org/W1528262008","https://openalex.org/W1536026156","https://openalex.org/W1552863221","https://openalex.org/W1598298511","https://openalex.org/W1864657091","https://openalex.org/W1983756188","https://openalex.org/W1988686126","https://openalex.org/W2020237802","https://openalex.org/W2034843061","https://openalex.org/W2038721957","https://openalex.org/W2060494110","https://openalex.org/W2078396654","https://openalex.org/W2079168273","https://openalex.org/W2110189854","https://openalex.org/W2156927361","https://openalex.org/W2170907675","https://openalex.org/W2241676001","https://openalex.org/W2539468319"],"related_works":["https://openalex.org/W1554694706","https://openalex.org/W2100029298","https://openalex.org/W1964241209","https://openalex.org/W1539972817","https://openalex.org/W2084631479","https://openalex.org/W2108729588","https://openalex.org/W2296977009","https://openalex.org/W2898640137","https://openalex.org/W2100806691","https://openalex.org/W2465735182","https://openalex.org/W1895449427","https://openalex.org/W2152733491","https://openalex.org/W171043663","https://openalex.org/W2188714255","https://openalex.org/W3204579446","https://openalex.org/W2911922498","https://openalex.org/W2092565432","https://openalex.org/W2094562508","https://openalex.org/W1582278820","https://openalex.org/W2104016348"],"abstract_inverted_index":{"Taking":[0],"into":[1],"account":[2],"in":[3,59,83],"one":[4],"same":[5],"information":[6,17,58],"retrieval":[7],"system":[8],"several":[9],"linguistic":[10,101],"indexes":[11],"encoding":[12],"morphological,":[13],"syntactic,":[14],"and":[15,33,52,139],"semantic":[16,26],"seems":[18],"a":[19,40,84,87],"good":[20],"idea":[21],"to":[22,35,50,61,79,108],"better":[23,150],"grasp":[24],"the":[25,43,94,109,112,122,130,149],"contents":[27],"of":[28,38,47,111,124],"large":[29],"unstructured":[30],"text":[31],"collections":[32],"thus":[34],"increase":[36],"performances":[37],"such":[39],"system.":[41],"Therefore":[42],"problem":[44],"raised":[45],"is":[46,77],"knowing":[48],"how":[49],"automatically":[51,104],"ef":[53],"ciently":[54],"combine":[55],"those":[56,146],"different":[57,115],"order":[60],"optimize":[62],"their":[63,91],"exploitations.":[64],"To":[65],"this":[66],"end,":[67],"we":[68],"propose":[69],"an":[70],"original":[71],"machine":[72],"learning":[73],"based":[74],"method":[75,127],"that":[76,117,128],"able":[78],"determine":[80],"relevant":[81],"documents":[82],"collection":[85],"for":[86],"given":[88],"query,":[89],"from":[90,98],"positions":[92],"within":[93],"result":[95,131],"lists":[96],"obtained":[97],"each":[99],"individual":[100,151],"index,":[102],"while":[103],"adapting":[105],"its":[106],"behavior":[107],"characteristics":[110],"query.":[113],"The":[114],"experiments":[116],"are":[118],"presented":[119],"here":[120],"prove":[121],"interest":[123],"our":[125],"fusion":[126],"merges":[129],"lists,":[132],"which":[133],"offers":[134],"more":[135,142],"balanced":[136],"precision-recall":[137],"compromises":[138],"consequently":[140],"obtains":[141],"stable":[143],"results":[144],"than":[145],"got":[147],"by":[148],"index.":[152],"1":[153]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}