{"id":"https://openalex.org/W2092656548","doi":"https://doi.org/10.1145/1148170.1148237","title":"Mining dependency relations for query expansion in passage retrieval","display_name":"Mining dependency relations for query expansion in passage retrieval","publication_year":2006,"publication_date":"2006-08-06","ids":{"openalex":"https://openalex.org/W2092656548","doi":"https://doi.org/10.1145/1148170.1148237","mag":"2092656548"},"language":"en","primary_location":{"id":"doi:10.1145/1148170.1148237","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1148170.1148237","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th 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/A5039770254","display_name":"Renxu Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Renxu Sun","raw_affiliation_strings":["National University of Singapore"],"affiliations":[{"raw_affiliation_string":"National University of Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067540424","display_name":"Chai-Huat Ong","orcid":null},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Chai-Huat Ong","raw_affiliation_strings":["National University of Singapore"],"affiliations":[{"raw_affiliation_string":"National University of Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089404640","display_name":"Tat\u2010Seng Chua","orcid":"https://orcid.org/0000-0001-6097-7807"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Tat-Seng Chua","raw_affiliation_strings":["National University of Singapore"],"affiliations":[{"raw_affiliation_string":"National University of Singapore","institution_ids":["https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5039770254"],"corresponding_institution_ids":["https://openalex.org/I165932596"],"apc_list":null,"apc_paid":null,"fwci":8.3737,"has_fulltext":false,"cited_by_count":52,"citation_normalized_percentile":{"value":0.97403963,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"382","last_page":"389"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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/T10181","display_name":"Natural Language Processing Techniques","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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9958000183105469,"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/query-expansion","display_name":"Query expansion","score":0.9004977941513062},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8036843538284302},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.6906055212020874},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.6678547859191895},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6276519298553467},{"id":"https://openalex.org/keywords/query-optimization","display_name":"Query optimization","score":0.5719904899597168},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5693817734718323},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5582790374755859},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.545994758605957},{"id":"https://openalex.org/keywords/sargable","display_name":"Sargable","score":0.4781935214996338},{"id":"https://openalex.org/keywords/query-language","display_name":"Query language","score":0.44647303223609924},{"id":"https://openalex.org/keywords/web-search-query","display_name":"Web search query","score":0.3987720012664795},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3346620798110962},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3146553039550781},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.25546425580978394}],"concepts":[{"id":"https://openalex.org/C99016210","wikidata":"https://www.wikidata.org/wiki/Q5488129","display_name":"Query expansion","level":2,"score":0.9004977941513062},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8036843538284302},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.6906055212020874},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.6678547859191895},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6276519298553467},{"id":"https://openalex.org/C157692150","wikidata":"https://www.wikidata.org/wiki/Q2919848","display_name":"Query optimization","level":2,"score":0.5719904899597168},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5693817734718323},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5582790374755859},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.545994758605957},{"id":"https://openalex.org/C192939062","wikidata":"https://www.wikidata.org/wiki/Q104840822","display_name":"Sargable","level":4,"score":0.4781935214996338},{"id":"https://openalex.org/C192028432","wikidata":"https://www.wikidata.org/wiki/Q845739","display_name":"Query language","level":2,"score":0.44647303223609924},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.3987720012664795},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3346620798110962},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3146553039550781},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.25546425580978394},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/1148170.1148237","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1148170.1148237","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval","raw_type":"proceedings-article"},{"id":"pmh:oai:scholarbank.nus.edu.sg:10635/41623","is_oa":false,"landing_page_url":"http://scholarbank.nus.edu.sg/handle/10635/41623","pdf_url":null,"source":{"id":"https://openalex.org/S7407052290","display_name":"National University of Singapore","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Scopus","raw_type":"Conference Paper"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.108.7905","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.108.7905","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://lms.comp.nus.edu.sg/papers/Papers/text/sigir06-sunrenxu.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.5799999833106995}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W73274768","https://openalex.org/W73633278","https://openalex.org/W288580133","https://openalex.org/W348133106","https://openalex.org/W1506013151","https://openalex.org/W1515865104","https://openalex.org/W1554385128","https://openalex.org/W1605510967","https://openalex.org/W1979459060","https://openalex.org/W1980515494","https://openalex.org/W1992113527","https://openalex.org/W2077428231","https://openalex.org/W2102046030","https://openalex.org/W2126034021","https://openalex.org/W2135514656","https://openalex.org/W2136583886","https://openalex.org/W2158890594","https://openalex.org/W2168432402","https://openalex.org/W2568598316","https://openalex.org/W2623071438","https://openalex.org/W4231856373"],"related_works":["https://openalex.org/W2096359267","https://openalex.org/W3125756434","https://openalex.org/W2572349046","https://openalex.org/W2392799717","https://openalex.org/W2146885082","https://openalex.org/W2026738364","https://openalex.org/W2017989738","https://openalex.org/W2186703450","https://openalex.org/W2017328855","https://openalex.org/W4381740310"],"abstract_inverted_index":{"Classical":[0],"query":[1,37,78,95,157],"expansion":[2,96,158,182,194],"techniques":[3,97,115],"such":[4,46],"as":[5],"the":[6,36,43,61,80,120,134,137,161,165,187],"local":[7],"context":[8],"analysis":[9,65,104],"(LCA)":[10],"make":[11,99],"use":[12,44,100],"of":[13,45,63,101,122,136,175],"term":[14,181],"co-occurrence":[15],"statistics":[16],"to":[17,54,105,118],"incorporate":[18],"additional":[19],"contextual":[20,28,107],"terms":[21,29,38,108,174],"for":[22,66,85],"enhancing":[23],"passage":[24,71,128,146],"retrieval.":[25,72],"However,":[26,73],"relevant":[27],"do":[30],"not":[31,83],"always":[32],"cooccur":[33],"frequently":[34],"with":[35,140,184],"and":[39,109,125,150],"vice":[40],"versa.":[41],"Hence":[42],"methods":[47],"often":[48],"brings":[49],"in":[50,70,142,173],"noise,":[51],"which":[52],"leads":[53],"reduced":[55],"precision.":[56],"Previous":[57],"studies":[58],"have":[59],"demonstrated":[60],"importance":[62],"relationship":[64],"natural":[67],"language":[68],"queries":[69],"they":[74],"found":[75],"that":[76,98,172],"without":[77,155],"expansion,":[79],"performance":[81,121,135],"is":[82],"satisfactory":[84],"short":[86],"queries.":[87],"In":[88],"this":[89],"paper,":[90],"we":[91],"present":[92],"two":[93],"novel":[94],"dependency":[102],"relation":[103,126,152,179,193],"extract":[106],"relations":[110],"from":[111,164],"external":[112],"corpuses.":[113],"The":[114,169],"are":[116],"used":[117],"enhance":[119],"density":[123,144],"based":[124,127,145,153,180],"retrieval":[129,147],"frameworks":[130],"respectively.":[131],"We":[132],"compare":[133],"resulting":[138],"systems":[139],"LCA":[141,188],"a":[143,151],"system":[148,154],"(DBS)":[149],"any":[156],"(RBS)":[159],"using":[160],"factoid":[162],"questions":[163],"TREC-12":[166],"QA":[167],"task.":[168],"results":[170],"show":[171],"MRR":[176],"scores,":[177],"our":[178,192],"method":[183,195],"DBS":[185],"outperforms":[186,196],"by":[189,198],"9.81%,":[190],"while":[191],"RBS":[197],"17.49%.":[199]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2015,"cited_by_count":6},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":5}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}