{"id":"https://openalex.org/W2251962302","doi":"https://doi.org/10.18653/v1/w15-3714","title":"Integrating Query Performance Prediction in Term Scoring for Diachronic Thesaurus","display_name":"Integrating Query Performance Prediction in Term Scoring for Diachronic Thesaurus","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W2251962302","doi":"https://doi.org/10.18653/v1/w15-3714","mag":"2251962302"},"language":"en","primary_location":{"id":"doi:10.18653/v1/w15-3714","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w15-3714","pdf_url":"https://www.aclweb.org/anthology/W15-3714.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings\u00a0of\u00a0the\u00a09th\u00a0SIGHUM\u00a0Workshop\u00a0on\u00a0Language\u00a0Technology\u00a0for\u00a0Cultural\u00a0Heritage,\u00a0Social\u00a0Sciences,\u00a0and\u00a0Humanities\u00a0(LaTeCH)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/W15-3714.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048937508","display_name":"Chaya Liebeskind","orcid":"https://orcid.org/0000-0003-0476-3796"},"institutions":[{"id":"https://openalex.org/I13955877","display_name":"Bar-Ilan University","ror":"https://ror.org/03kgsv495","country_code":"IL","type":"education","lineage":["https://openalex.org/I13955877"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Chaya Liebeskind","raw_affiliation_strings":["Department of Computer Science Bar-Ilan University Ramat-Gan, Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science Bar-Ilan University Ramat-Gan, Israel","institution_ids":["https://openalex.org/I13955877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033006575","display_name":"Ido Dagan","orcid":"https://orcid.org/0000-0003-3415-3374"},"institutions":[{"id":"https://openalex.org/I13955877","display_name":"Bar-Ilan University","ror":"https://ror.org/03kgsv495","country_code":"IL","type":"education","lineage":["https://openalex.org/I13955877"]}],"countries":["IL"],"is_corresponding":true,"raw_author_name":"Ido Dagan","raw_affiliation_strings":["Department of Computer Science Bar-Ilan University Ramat-Gan, Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science Bar-Ilan University Ramat-Gan, Israel","institution_ids":["https://openalex.org/I13955877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5033006575"],"corresponding_institution_ids":["https://openalex.org/I13955877"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.12519265,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"89","last_page":"94"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","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"}},"topics":[{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","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/T10181","display_name":"Natural Language Processing Techniques","score":0.9987999796867371,"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":0.996399998664856,"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/thesaurus","display_name":"Thesaurus","score":0.881600022315979},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7686887979507446},{"id":"https://openalex.org/keywords/terminology","display_name":"Terminology","score":0.7413473129272461},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6596471071243286},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.578056275844574},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5579574704170227},{"id":"https://openalex.org/keywords/query-expansion","display_name":"Query expansion","score":0.4581529200077057},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4554668068885803},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44482335448265076},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.16881760954856873}],"concepts":[{"id":"https://openalex.org/C2778698081","wikidata":"https://www.wikidata.org/wiki/Q179797","display_name":"Thesaurus","level":2,"score":0.881600022315979},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7686887979507446},{"id":"https://openalex.org/C547195049","wikidata":"https://www.wikidata.org/wiki/Q1725664","display_name":"Terminology","level":2,"score":0.7413473129272461},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6596471071243286},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.578056275844574},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5579574704170227},{"id":"https://openalex.org/C99016210","wikidata":"https://www.wikidata.org/wiki/Q5488129","display_name":"Query expansion","level":2,"score":0.4581529200077057},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4554668068885803},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44482335448265076},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.16881760954856873},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/w15-3714","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w15-3714","pdf_url":"https://www.aclweb.org/anthology/W15-3714.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings\u00a0of\u00a0the\u00a09th\u00a0SIGHUM\u00a0Workshop\u00a0on\u00a0Language\u00a0Technology\u00a0for\u00a0Cultural\u00a0Heritage,\u00a0Social\u00a0Sciences,\u00a0and\u00a0Humanities\u00a0(LaTeCH)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/w15-3714","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w15-3714","pdf_url":"https://www.aclweb.org/anthology/W15-3714.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings\u00a0of\u00a0the\u00a09th\u00a0SIGHUM\u00a0Workshop\u00a0on\u00a0Language\u00a0Technology\u00a0for\u00a0Cultural\u00a0Heritage,\u00a0Social\u00a0Sciences,\u00a0and\u00a0Humanities\u00a0(LaTeCH)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.7200000286102295}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2251962302.pdf","grobid_xml":"https://content.openalex.org/works/W2251962302.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W7868932","https://openalex.org/W17193775","https://openalex.org/W19293941","https://openalex.org/W60112634","https://openalex.org/W70652293","https://openalex.org/W230988620","https://openalex.org/W290746788","https://openalex.org/W1525414974","https://openalex.org/W1529346362","https://openalex.org/W1554728883","https://openalex.org/W1574901103","https://openalex.org/W1577798322","https://openalex.org/W1608396526","https://openalex.org/W1684268954","https://openalex.org/W1965119565","https://openalex.org/W1977018355","https://openalex.org/W1994401877","https://openalex.org/W2033868778","https://openalex.org/W2068902033","https://openalex.org/W2079168273","https://openalex.org/W2084413241","https://openalex.org/W2087818911","https://openalex.org/W2095697172","https://openalex.org/W2116237179","https://openalex.org/W2234028104","https://openalex.org/W2250395394","https://openalex.org/W2251444459","https://openalex.org/W2538688051","https://openalex.org/W2564184859","https://openalex.org/W2621280964","https://openalex.org/W3138850522","https://openalex.org/W4231752194","https://openalex.org/W4237623536"],"related_works":["https://openalex.org/W2350593162","https://openalex.org/W2390350206","https://openalex.org/W1969477129","https://openalex.org/W2921208823","https://openalex.org/W2353483812","https://openalex.org/W2131808775","https://openalex.org/W2130038259","https://openalex.org/W2360756181","https://openalex.org/W3164630567","https://openalex.org/W2399119034"],"abstract_inverted_index":{"A":[0],"diachronic":[1,41,96],"thesaurus":[2,93],"is":[3],"a":[4,31,39,45,92,95],"lexical":[5],"resource":[6],"that":[7],"aims":[8],"to":[9],"map":[10],"between":[11],"modern":[12,35,68],"terms":[13,18,37,70],"and":[14,59],"their":[15,77],"semantically":[16],"related":[17,55,73],"in":[19],"earlier":[20],"periods.":[21],"In":[22],"this":[23],"paper,":[24],"we":[25],"investigate":[26],"the":[27,85],"task":[28],"of":[29,33,88],"collecting":[30],"list":[32],"relevant":[34],"target":[36],"for":[38,91,94],"domain-specific":[40],"thesaurus.":[42],"We":[43,83],"propose":[44],"supervised":[46],"learning":[47],"scheme,":[48],"which":[49],"integrates":[50],"features":[51],"from":[52],"two":[53],"closely":[54],"fields:":[56],"Terminology":[57],"Extraction":[58],"Query":[60],"Performance":[61],"Prediction":[62],"(QPP).":[63],"Our":[64],"method":[65,90],"further":[66],"expands":[67],"candidate":[69],"with":[71,80],"ancient":[72],"terms,":[74],"before":[75],"assessing":[76],"corpus":[78],"relevancy":[79],"QPP":[81],"measures.":[82],"evaluate":[84],"empirical":[86],"benefit":[87],"our":[89],"Jewish":[97],"corpus.":[98]},"counts_by_year":[{"year":2020,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
