{"id":"https://openalex.org/W2583401368","doi":"https://doi.org/10.1162/tacl_a_00117","title":"Utilizing Temporal Information for Taxonomy Construction","display_name":"Utilizing Temporal Information for Taxonomy Construction","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2583401368","doi":"https://doi.org/10.1162/tacl_a_00117","mag":"2583401368"},"language":"en","primary_location":{"id":"doi:10.1162/tacl_a_00117","is_oa":true,"landing_page_url":"https://doi.org/10.1162/tacl_a_00117","pdf_url":"http://www.mitpressjournals.org/doi/pdf/10.1162/tacl_a_00117","source":{"id":"https://openalex.org/S2729999759","display_name":"Transactions of the Association for Computational Linguistics","issn_l":"2307-387X","issn":["2307-387X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320244","host_organization_name":"Association for Computational Linguistics","host_organization_lineage":["https://openalex.org/P4310320244"],"host_organization_lineage_names":["Association for Computational Linguistics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Transactions of the Association for Computational Linguistics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"http://www.mitpressjournals.org/doi/pdf/10.1162/tacl_a_00117","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5001659855","display_name":"Luu Anh Tuan","orcid":"https://orcid.org/0000-0001-6062-207X"},"institutions":[{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Luu Anh Tuan","raw_affiliation_strings":["Institute for Infocomm Research, Singapore,"],"affiliations":[{"raw_affiliation_string":"Institute for Infocomm Research, Singapore,","institution_ids":["https://openalex.org/I3005327000"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111739946","display_name":"Siu Cheung Hui","orcid":null},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Siu Cheung Hui","raw_affiliation_strings":["School of Computer Engineering, Nanyang Technological University,                         Singapore,","School of Computer Engineering, Nanyang Technological University,\n Singapore,"],"affiliations":[{"raw_affiliation_string":"School of Computer Engineering, Nanyang Technological University,                         Singapore,","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"School of Computer Engineering, Nanyang Technological University,\n Singapore,","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110918847","display_name":"See Kiong Ng","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":"See Kiong Ng","raw_affiliation_strings":["Institute of Data Science, National University of Singapore,"],"affiliations":[{"raw_affiliation_string":"Institute of Data Science, 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/A5001659855","https://openalex.org/A5110918847","https://openalex.org/A5111739946"],"corresponding_institution_ids":["https://openalex.org/I165932596","https://openalex.org/I172675005","https://openalex.org/I3005327000"],"apc_list":null,"apc_paid":null,"fwci":0.1667,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.64855989,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"4","issue":null,"first_page":"551","last_page":"564"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing 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/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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.854671061038971},{"id":"https://openalex.org/keywords/taxonomy","display_name":"Taxonomy (biology)","score":0.7470966577529907},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6595919132232666},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.5129034519195557},{"id":"https://openalex.org/keywords/hierarchy","display_name":"Hierarchy","score":0.5065599679946899},{"id":"https://openalex.org/keywords/timestamp","display_name":"Timestamp","score":0.49396592378616333},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.44562801718711853},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4318612217903137},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.331863671541214},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32866811752319336}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.854671061038971},{"id":"https://openalex.org/C58642233","wikidata":"https://www.wikidata.org/wiki/Q8269924","display_name":"Taxonomy (biology)","level":2,"score":0.7470966577529907},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6595919132232666},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.5129034519195557},{"id":"https://openalex.org/C31170391","wikidata":"https://www.wikidata.org/wiki/Q188619","display_name":"Hierarchy","level":2,"score":0.5065599679946899},{"id":"https://openalex.org/C113954288","wikidata":"https://www.wikidata.org/wiki/Q186885","display_name":"Timestamp","level":2,"score":0.49396592378616333},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.44562801718711853},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4318612217903137},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.331863671541214},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32866811752319336},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C34447519","wikidata":"https://www.wikidata.org/wiki/Q179522","display_name":"Market economy","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1162/tacl_a_00117","is_oa":true,"landing_page_url":"https://doi.org/10.1162/tacl_a_00117","pdf_url":"http://www.mitpressjournals.org/doi/pdf/10.1162/tacl_a_00117","source":{"id":"https://openalex.org/S2729999759","display_name":"Transactions of the Association for Computational Linguistics","issn_l":"2307-387X","issn":["2307-387X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320244","host_organization_name":"Association for Computational Linguistics","host_organization_lineage":["https://openalex.org/P4310320244"],"host_organization_lineage_names":["Association for Computational Linguistics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Transactions of the Association for Computational Linguistics","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:190b7dcbc901451095c9be79881593a5","is_oa":true,"landing_page_url":"https://doaj.org/article/190b7dcbc901451095c9be79881593a5","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Transactions of the Association for Computational Linguistics, Vol 4 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1162/tacl_a_00117","is_oa":true,"landing_page_url":"https://doi.org/10.1162/tacl_a_00117","pdf_url":"http://www.mitpressjournals.org/doi/pdf/10.1162/tacl_a_00117","source":{"id":"https://openalex.org/S2729999759","display_name":"Transactions of the Association for Computational Linguistics","issn_l":"2307-387X","issn":["2307-387X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320244","host_organization_name":"Association for Computational Linguistics","host_organization_lineage":["https://openalex.org/P4310320244"],"host_organization_lineage_names":["Association for Computational Linguistics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Transactions of the Association for Computational Linguistics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2583401368.pdf","grobid_xml":"https://content.openalex.org/works/W2583401368.grobid-xml"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W38703128","https://openalex.org/W132190833","https://openalex.org/W160339868","https://openalex.org/W1480376833","https://openalex.org/W1847921443","https://openalex.org/W1963664539","https://openalex.org/W1986182807","https://openalex.org/W1993691975","https://openalex.org/W1993972354","https://openalex.org/W1995006620","https://openalex.org/W2022088830","https://openalex.org/W2029009258","https://openalex.org/W2038519936","https://openalex.org/W2041590596","https://openalex.org/W2068737686","https://openalex.org/W2081580037","https://openalex.org/W2094728533","https://openalex.org/W2096315187","https://openalex.org/W2097123411","https://openalex.org/W2103666926","https://openalex.org/W2105179799","https://openalex.org/W2132827946","https://openalex.org/W2138605095","https://openalex.org/W2145328028","https://openalex.org/W2251758222","https://openalex.org/W2565948902","https://openalex.org/W4246185962"],"related_works":["https://openalex.org/W2060561905","https://openalex.org/W1417711376","https://openalex.org/W1986883493","https://openalex.org/W2469862403","https://openalex.org/W2166378262","https://openalex.org/W2035891203","https://openalex.org/W4379524643","https://openalex.org/W2367807705","https://openalex.org/W2011027677","https://openalex.org/W3029152356"],"abstract_inverted_index":{"Taxonomies":[0],"play":[1],"an":[2,147],"important":[3],"role":[4],"in":[5,169,177],"many":[6],"applications":[7],"by":[8,120,135],"organizing":[9],"domain":[10,72],"knowledge":[11],"into":[12],"a":[13,52,61,64,71,85],"hierarchy":[14],"of":[15,26,45,67,73,94],"\u2018":[16],"is-a\u2019":[17],"relations":[18,104,138,145],"between":[19],"terms.":[20],"Previous":[21],"work":[22],"on":[23],"automatic":[24],"construction":[25],"taxonomies":[27],"from":[28,63,80,97,139,158],"text":[29],"documents":[30,68,82],"either":[31],"ignored":[32],"temporal":[33,78,92],"information":[34,79,148,175],"or":[35],"used":[36],"fixed":[37],"time":[38,43],"periods":[39],"to":[40,55,89,124,171],"discretize":[41],"the":[42,81,91,95,102,107,117,127,133,155,165,173,178],"series":[44,66],"documents.":[46],"In":[47],"this":[48],"paper,":[49],"we":[50],"propose":[51],"time-aware":[53],"method":[54,76,115,129],"automatically":[56],"construct":[57],"and":[58,83,142,163],"effectively":[59,167],"maintain":[60],"taxonomy":[62,134,157,166],"given":[65],"preclustered":[69],"for":[70,105,160],"interest.":[74],"The":[75],"extracts":[77],"uses":[84],"timestamp":[86],"contribution":[87],"function":[88],"score":[90],"relevance":[93],"evidence":[96],"source":[98],"texts":[99],"when":[100],"identifying":[101],"taxonomic":[103],"constructing":[106],"taxonomy.":[108],"Experimental":[109],"results":[110],"show":[111],"that":[112],"our":[113],"proposed":[114,128],"outperforms":[116],"state-of-the-art":[118],"methods":[119],"increasing":[121],"F-measure":[122],"up":[123],"7%\u201320%.":[125],"Furthermore,":[126],"can":[130],"incrementally":[131],"update":[132,162],"adding":[136],"fresh":[137],"new":[140],"data":[141],"removing":[143],"outdated":[144],"using":[146],"decay":[149],"function.":[150],"It":[151],"thus":[152],"avoids":[153],"rebuilding":[154],"whole":[156],"scratch":[159],"every":[161],"keeps":[164],"up-to-date":[168],"order":[170],"track":[172],"latest":[174],"trends":[176],"rapidly":[179],"evolving":[180],"domain.":[181]},"counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}