{"id":"https://openalex.org/W2103522185","doi":"https://doi.org/10.1145/1008992.1009039","title":"An effective approach to document retrieval via utilizing WordNet and recognizing phrases","display_name":"An effective approach to document retrieval via utilizing WordNet and recognizing phrases","publication_year":2004,"publication_date":"2004-07-25","ids":{"openalex":"https://openalex.org/W2103522185","doi":"https://doi.org/10.1145/1008992.1009039","mag":"2103522185"},"language":"en","primary_location":{"id":"doi:10.1145/1008992.1009039","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1008992.1009039","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100319073","display_name":"Shuang Liu","orcid":"https://orcid.org/0000-0001-8766-7235"},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shuang Liu","raw_affiliation_strings":["University of Illinois at Chicago, Chicago, IL"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Illinois at Chicago, Chicago, IL","institution_ids":["https://openalex.org/I39422238"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100453028","display_name":"Fang Liu","orcid":"https://orcid.org/0000-0001-8753-3878"},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fang Liu","raw_affiliation_strings":["University of Illinois at Chicago, Chicago, IL"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Illinois at Chicago, Chicago, IL","institution_ids":["https://openalex.org/I39422238"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109181755","display_name":"Clement Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Clement Yu","raw_affiliation_strings":["University of Illinois at Chicago, Chicago, IL"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Illinois at Chicago, Chicago, IL","institution_ids":["https://openalex.org/I39422238"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101960531","display_name":"Weiyi Meng","orcid":"https://orcid.org/0000-0002-7246-2058"},"institutions":[{"id":"https://openalex.org/I123946342","display_name":"Binghamton University","ror":"https://ror.org/008rmbt77","country_code":"US","type":"education","lineage":["https://openalex.org/I123946342"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Weiyi Meng","raw_affiliation_strings":["Binghamton University, Binghamton, NY","Binghamton University , Binghamton, NY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Binghamton University, Binghamton, NY","institution_ids":["https://openalex.org/I123946342"]},{"raw_affiliation_string":"Binghamton University , Binghamton, NY","institution_ids":["https://openalex.org/I123946342"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":10.3641,"has_fulltext":false,"cited_by_count":238,"citation_normalized_percentile":{"value":0.98936581,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"266","last_page":"272"},"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":0.9991000294685364,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.996999979019165,"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":0.8427777290344238},{"id":"https://openalex.org/keywords/wordnet","display_name":"WordNet","score":0.8382304906845093},{"id":"https://openalex.org/keywords/phrase","display_name":"Phrase","score":0.7090179920196533},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6660654544830322},{"id":"https://openalex.org/keywords/noun-phrase","display_name":"Noun phrase","score":0.6601017713546753},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5911927819252014},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5824156403541565},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.5044978857040405},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.4315495491027832},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.4300045371055603},{"id":"https://openalex.org/keywords/noun","display_name":"Noun","score":0.27004575729370117},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.11874115467071533},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.09326612949371338}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8427777290344238},{"id":"https://openalex.org/C157659113","wikidata":"https://www.wikidata.org/wiki/Q533822","display_name":"WordNet","level":2,"score":0.8382304906845093},{"id":"https://openalex.org/C2776224158","wikidata":"https://www.wikidata.org/wiki/Q187931","display_name":"Phrase","level":2,"score":0.7090179920196533},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6660654544830322},{"id":"https://openalex.org/C153962237","wikidata":"https://www.wikidata.org/wiki/Q1401131","display_name":"Noun phrase","level":3,"score":0.6601017713546753},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5911927819252014},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5824156403541565},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.5044978857040405},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.4315495491027832},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.4300045371055603},{"id":"https://openalex.org/C121934690","wikidata":"https://www.wikidata.org/wiki/Q1084","display_name":"Noun","level":2,"score":0.27004575729370117},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.11874115467071533},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.09326612949371338},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/1008992.1009039","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1008992.1009039","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.117.1254","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.117.1254","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.uic.edu/~sliu/p096-liu.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.94.959","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.94.959","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.binghamton.edu/~meng/pub.d/p266-liu.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.5699999928474426}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W11171803","https://openalex.org/W20893098","https://openalex.org/W29496115","https://openalex.org/W68836090","https://openalex.org/W69295931","https://openalex.org/W642396912","https://openalex.org/W1507711745","https://openalex.org/W1523307303","https://openalex.org/W1552716626","https://openalex.org/W1561908597","https://openalex.org/W1587004086","https://openalex.org/W1600572248","https://openalex.org/W1660390307","https://openalex.org/W1666605052","https://openalex.org/W1971220772","https://openalex.org/W1979459060","https://openalex.org/W1987996059","https://openalex.org/W2000672666","https://openalex.org/W2038721957","https://openalex.org/W2043909051","https://openalex.org/W2069185229","https://openalex.org/W2069564398","https://openalex.org/W2097802284","https://openalex.org/W2102381086","https://openalex.org/W2105106523","https://openalex.org/W2105157020","https://openalex.org/W2105588112","https://openalex.org/W2110189854","https://openalex.org/W2117705842","https://openalex.org/W2125055259","https://openalex.org/W2127128140","https://openalex.org/W2140354722","https://openalex.org/W2153927559","https://openalex.org/W2161893466","https://openalex.org/W2172192355","https://openalex.org/W2539468319","https://openalex.org/W4231856373","https://openalex.org/W4235505822","https://openalex.org/W4256361765"],"related_works":["https://openalex.org/W2900382651","https://openalex.org/W1981879262","https://openalex.org/W2363417484","https://openalex.org/W4225863708","https://openalex.org/W1480103567","https://openalex.org/W1599970036","https://openalex.org/W1849827364","https://openalex.org/W2786299737","https://openalex.org/W115324854","https://openalex.org/W4211187494"],"abstract_inverted_index":{"Noun":[0],"phrases":[1,16,47,75],"in":[2,29,66],"queries":[3],"are":[4,32,48,51,58,71,110],"identified":[5],"and":[6,17,50,106,127,139],"classified":[7],"into":[8],"four":[9],"types:":[10],"proper":[11],"names,":[12],"dictionary":[13],"phrases,":[14],"simple":[15],"complex":[18],"phrases.":[19],"A":[20],"document":[21],"has":[22],"a":[23,34,37,54,69,77,94],"phrase":[24,31],"if":[25],"all":[26],"content":[27],"words":[28,102,109],"the":[30,91,116,131,135],"within":[33],"window":[35,41],"of":[36,46,87,93],"certain":[38],"size.":[39],"The":[40],"sizes":[42],"for":[43,112,142],"different":[44,49],"types":[45],"determined":[52],"using":[53,148],"decision":[55],"tree.":[56],"Phrases":[57],"more":[59],"important":[60],"than":[61],"individual":[62],"terms.":[63,89],"Consequently,":[64],"documents":[65],"response":[67],"to":[68,83,115],"query":[70,88,95],"ranked":[72],"with":[73],"matching":[74],"given":[76],"higher":[78],"priority.":[79],"We":[80],"utilize":[81],"WordNet":[82],"disambiguate":[84],"word":[85],"senses":[86],"Whenever":[90],"sense":[92],"term":[96],"is":[97],"determined,":[98],"its":[99,104,107],"synonyms,":[100],"hyponyms,":[101],"from":[103],"definition":[105],"compound":[108],"considered":[111],"possible":[113],"additions":[114],"query.":[117],"Experimental":[118],"results":[119,133],"show":[120],"that":[121],"our":[122],"approach":[123],"yields":[124],"between":[125],"23%":[126],"31%":[128],"improvements":[129],"over":[130],"best-known":[132],"on":[134],"TREC":[136],"9,":[137],"10":[138],"12":[140],"collections":[141],"short":[143],"(title":[144],"only)":[145],"queries,":[146],"without":[147],"Web":[149],"data.":[150]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":10},{"year":2017,"cited_by_count":13},{"year":2016,"cited_by_count":10},{"year":2015,"cited_by_count":13},{"year":2014,"cited_by_count":7},{"year":2013,"cited_by_count":12},{"year":2012,"cited_by_count":20}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}