{"id":"https://openalex.org/W2089130131","doi":"https://doi.org/10.1145/1390334.1390370","title":"A study of learning a merge model for multilingual information retrieval","display_name":"A study of learning a merge model for multilingual information retrieval","publication_year":2008,"publication_date":"2008-07-20","ids":{"openalex":"https://openalex.org/W2089130131","doi":"https://doi.org/10.1145/1390334.1390370","mag":"2089130131"},"language":"en","primary_location":{"id":"doi:10.1145/1390334.1390370","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1390334.1390370","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st 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/A5076203419","display_name":"Ming-Feng Tsai","orcid":"https://orcid.org/0000-0002-3358-8176"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Ming-Feng Tsai","raw_affiliation_strings":["National Taiwan University, Taipei, Taiwan Roc","National Taiwan University, Taipei, Taiwan, ROC"],"affiliations":[{"raw_affiliation_string":"National Taiwan University, Taipei, Taiwan Roc","institution_ids":["https://openalex.org/I16733864"]},{"raw_affiliation_string":"National Taiwan University, Taipei, Taiwan, ROC","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100384201","display_name":"Yuting Wang","orcid":"https://orcid.org/0000-0002-1562-2764"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yu-Ting Wang","raw_affiliation_strings":["National Taiwan University, Taipei, Taiwan Roc","National Taiwan University, Taipei, Taiwan, ROC"],"affiliations":[{"raw_affiliation_string":"National Taiwan University, Taipei, Taiwan Roc","institution_ids":["https://openalex.org/I16733864"]},{"raw_affiliation_string":"National Taiwan University, Taipei, Taiwan, ROC","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000334344","display_name":"Hsin\u2010Hsi Chen","orcid":"https://orcid.org/0000-0001-9757-9423"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hsin-Hsi Chen","raw_affiliation_strings":["National Taiwan University, Taipei, Taiwan Roc","National Taiwan University, Taipei, Taiwan, ROC"],"affiliations":[{"raw_affiliation_string":"National Taiwan University, Taipei, Taiwan Roc","institution_ids":["https://openalex.org/I16733864"]},{"raw_affiliation_string":"National Taiwan University, Taipei, Taiwan, ROC","institution_ids":["https://openalex.org/I16733864"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5076203419"],"corresponding_institution_ids":["https://openalex.org/I16733864"],"apc_list":null,"apc_paid":null,"fwci":6.1235,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.96066865,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"195","last_page":"202"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9983000159263611,"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"}},"topics":[{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9983000159263611,"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"}},{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.9947999715805054,"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"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9926999807357788,"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":0.8374868631362915},{"id":"https://openalex.org/keywords/merge","display_name":"Merge (version control)","score":0.7804453372955322},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5343344211578369},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.45957469940185547},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4432508945465088},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4013300836086273}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8374868631362915},{"id":"https://openalex.org/C197129107","wikidata":"https://www.wikidata.org/wiki/Q1921621","display_name":"Merge (version control)","level":2,"score":0.7804453372955322},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5343344211578369},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.45957469940185547},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4432508945465088},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4013300836086273}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1390334.1390370","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1390334.1390370","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.379.6837","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.379.6837","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://nlg.csie.ntu.edu.tw/conference_papers/sigir2008.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.6299999952316284}],"awards":[],"funders":[{"id":"https://openalex.org/F4320323900","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1490022694","https://openalex.org/W1571421201","https://openalex.org/W1995485440","https://openalex.org/W2014415866","https://openalex.org/W2035127985","https://openalex.org/W2037320173","https://openalex.org/W2047221353","https://openalex.org/W2057755782","https://openalex.org/W2108862644","https://openalex.org/W2118295805","https://openalex.org/W2138790992","https://openalex.org/W2143331230","https://openalex.org/W2152577431","https://openalex.org/W2159829500","https://openalex.org/W2162830513","https://openalex.org/W2186872665","https://openalex.org/W2738227713","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4286629047","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4313488044","https://openalex.org/W3209574120","https://openalex.org/W4312192474"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,23,60,74,80,124],"learning":[4,18],"approach":[5],"for":[6,83,92,123],"the":[7,17,31,48,54,69,93,109,130,135,163,166,181],"merging":[8,33,117,128,132,136,152,182],"process":[9],"in":[10,100],"multilingual":[11],"information":[12,97,185],"retrieval":[13,98],"(MLIR).":[14],"To":[15],"conduct":[16],"approach,":[19],"we":[20,51],"also":[21,120],"present":[22],"large":[24],"number":[25],"of":[26,95,111,158],"features":[27,36],"that":[28,146,179],"may":[29],"influence":[30,180],"MLIR":[32,84,194],"process;":[34,183],"these":[35],"are":[37,105,119],"mainly":[38],"extracted":[39],"from":[40],"three":[41,89],"levels:":[42],"query,":[43],"document,":[44],"and":[45,103,134,191],"translation.":[46],"After":[47],"feature":[49],"extraction,":[50],"then":[52],"use":[53,73],"FRank":[55],"ranking":[56,76],"algorithm":[57,77],"to":[58,63,72,78,107,162],"construct":[59,79],"merge":[61,81,167],"model;":[62],"our":[64,87,112,147,172],"knowledge,":[65],"this":[66,184],"practice":[67],"is":[68],"first":[70],"attempt":[71],"learning-based":[75],"model":[82,168],"merging.":[85,195],"In":[86,160],"experiments,":[88],"test":[90],"collections":[91],"task":[94],"crosslingual":[96],"(CLIR)":[99],"NTCIR3,":[101],"4,":[102],"5":[104],"employed":[106],"assess":[108],"performance":[110],"proposed":[113],"method;":[114],"moreover,":[115],"several":[116],"methods":[118],"carried":[121],"out":[122],"comparison,":[125],"including":[126],"traditional":[127],"methods,":[129],"2-step":[131],"strategy,":[133],"method":[137,148,173],"based":[138],"on":[139,154],"logistic":[140],"regression.":[141],"The":[142],"experimental":[143],"results":[144],"show":[145],"can":[149,174],"significantly":[150],"improve":[151],"quality":[153],"two":[155],"different":[156],"types":[157],"datasets.":[159],"addition":[161],"effectiveness,":[164],"through":[165],"generated":[169],"by":[170],"FRank,":[171],"further":[175],"identify":[176],"key":[177],"factors":[178],"might":[186],"provide":[187],"us":[188],"more":[189],"insight":[190],"understanding":[192],"into":[193]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
