{"id":"https://openalex.org/W2047810014","doi":"https://doi.org/10.1145/2684822.2685288","title":"Automatic Gloss Finding for a Knowledge Base using Ontological Constraints","display_name":"Automatic Gloss Finding for a Knowledge Base using Ontological Constraints","publication_year":2015,"publication_date":"2015-01-28","ids":{"openalex":"https://openalex.org/W2047810014","doi":"https://doi.org/10.1145/2684822.2685288","mag":"2047810014"},"language":"en","primary_location":{"id":"doi:10.1145/2684822.2685288","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2684822.2685288","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Eighth ACM International Conference on Web Search and Data Mining","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/A5007851620","display_name":"Bhavana Dalvi","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Bhavana Dalvi","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA, USA","Carnegie-Mellon University, Pittsburgh, Pa., USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Carnegie-Mellon University, Pittsburgh, Pa., USA#TAB#","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057700630","display_name":"Einat Minkov","orcid":"https://orcid.org/0000-0001-8421-5209"},"institutions":[{"id":"https://openalex.org/I91203450","display_name":"University of Haifa","ror":"https://ror.org/02f009v59","country_code":"IL","type":"education","lineage":["https://openalex.org/I91203450"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Einat Minkov","raw_affiliation_strings":["University of Haifa, Haifa, Israel",", University of Haifa, Haifa, Israel"],"affiliations":[{"raw_affiliation_string":"University of Haifa, Haifa, Israel","institution_ids":["https://openalex.org/I91203450"]},{"raw_affiliation_string":", University of Haifa, Haifa, Israel","institution_ids":["https://openalex.org/I91203450"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033696194","display_name":"Partha Talukdar","orcid":"https://orcid.org/0000-0001-8825-589X"},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Partha P. Talukdar","raw_affiliation_strings":["Indian Institute of Science (IISc), Bangalore, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Science (IISc), Bangalore, India","institution_ids":["https://openalex.org/I59270414"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051617344","display_name":"William W. Cohen","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"William W. Cohen","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA, USA","Carnegie-Mellon University, Pittsburgh, Pa., USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Carnegie-Mellon University, Pittsburgh, Pa., USA#TAB#","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5007851620"],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":11.1274,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":{"value":0.98321708,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"369","last_page":"378"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","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/T10181","display_name":"Natural Language Processing Techniques","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/T10028","display_name":"Topic Modeling","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/T10215","display_name":"Semantic Web and Ontologies","score":0.9988999962806702,"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":0.8486141562461853},{"id":"https://openalex.org/keywords/gloss","display_name":"Gloss (optics)","score":0.7783702611923218},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5881704092025757},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.5363539457321167},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5013728141784668},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.49741819500923157},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3375719487667084},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.32768890261650085}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8486141562461853},{"id":"https://openalex.org/C143025027","wikidata":"https://www.wikidata.org/wiki/Q900581","display_name":"Gloss (optics)","level":3,"score":0.7783702611923218},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5881704092025757},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.5363539457321167},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5013728141784668},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.49741819500923157},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3375719487667084},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.32768890261650085},{"id":"https://openalex.org/C2781448156","wikidata":"https://www.wikidata.org/wiki/Q1570182","display_name":"Coating","level":2,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1145/2684822.2685288","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2684822.2685288","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Eighth ACM International Conference on Web Search and Data Mining","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.698.8806","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.698.8806","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.cmu.edu/%7Ewcohen/postscript/wsdm-2015.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.699.4552","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.699.4552","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.cmu.edu/%7Ewcohen/postscript/gloss-sub-2014.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.718.3185","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.718.3185","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://talukdar.net/papers/wsdm15_gloss.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.7699999809265137,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W158623153","https://openalex.org/W1512387364","https://openalex.org/W1519776800","https://openalex.org/W1552297528","https://openalex.org/W1565763308","https://openalex.org/W1600623192","https://openalex.org/W1615249902","https://openalex.org/W1731062554","https://openalex.org/W1831916264","https://openalex.org/W1945076080","https://openalex.org/W1971220772","https://openalex.org/W2000411838","https://openalex.org/W2009591769","https://openalex.org/W2022166150","https://openalex.org/W2027081355","https://openalex.org/W2034673321","https://openalex.org/W2038721957","https://openalex.org/W2045495924","https://openalex.org/W2067506377","https://openalex.org/W2081580037","https://openalex.org/W2085337304","https://openalex.org/W2094728533","https://openalex.org/W2097089247","https://openalex.org/W2102524069","https://openalex.org/W2107597196","https://openalex.org/W2109006781","https://openalex.org/W2110881686","https://openalex.org/W2118585731","https://openalex.org/W2119710029","https://openalex.org/W2120779048","https://openalex.org/W2123442489","https://openalex.org/W2127128140","https://openalex.org/W2127289991","https://openalex.org/W2139346960","https://openalex.org/W2145001205","https://openalex.org/W2150034910","https://openalex.org/W2152729429","https://openalex.org/W2159719802","https://openalex.org/W2165596530","https://openalex.org/W2181629536","https://openalex.org/W2250820912","https://openalex.org/W2251958415","https://openalex.org/W2252008934","https://openalex.org/W2436001372","https://openalex.org/W2914569968","https://openalex.org/W3001645704","https://openalex.org/W4235505822","https://openalex.org/W4250763916","https://openalex.org/W6606516649","https://openalex.org/W6685530852"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W2384888906","https://openalex.org/W2144190808","https://openalex.org/W4224009465","https://openalex.org/W2376314740","https://openalex.org/W2366644548","https://openalex.org/W2472885054","https://openalex.org/W2120460904","https://openalex.org/W1518289136"],"abstract_inverted_index":{"While":[0],"there":[1],"has":[2,16],"been":[3,41],"much":[4],"research":[5,178],"on":[6,18,125,158],"automatically":[7,171],"constructing":[8],"structured":[9],"Knowledge":[10],"Bases":[11],"(KBs),":[12],"most":[13],"of":[14,58,99,102,111,162],"it":[15],"focused":[17],"generating":[19],"facts":[20],"to":[21,43,65,135,154,170],"populate":[22],"a":[23,26,87,159],"KB.":[24],"However,":[25,54],"useful":[27,46],"KB":[28],"must":[29],"go":[30],"beyond":[31],"facts.":[32],"For":[33],"example,":[34],"glosses":[35,64],"(short":[36],"natural":[37],"language":[38],"definitions)":[39],"have":[40,183],"found":[42],"be":[44],"very":[45],"in":[47,67,79,145,179,190],"tasks":[48],"such":[49],"as":[50],"Word":[51],"Sense":[52],"Disambiguation.":[53],"the":[55,109,116,185],"important":[56],"problem":[57,94],"Automatic":[59],"Gloss":[60],"Finding,":[61],"i.e.,":[62],"assigning":[63],"entities":[66],"an":[68],"initially":[69],"gloss-free":[70],"KB,":[71],"is":[72,115,133],"relatively":[73],"unexplored.":[74],"We":[75,149],"address":[76],"that":[77,137],"gap":[78],"this":[80,93,120,180,191],"paper.":[81],"In":[82],"particular,":[83],"we":[84,128,182],"propose":[85],"GLOFIN,":[86],"hierarchical":[88],"semi-supervised":[89],"learning":[90],"algorithm":[91],"for":[92,119],"which":[95],"makes":[96],"effective":[97],"use":[98],"limited":[100],"amounts":[101],"supervision":[103,147],"and":[104,187],"available":[105],"ontological":[106],"constraints.":[107],"To":[108,175],"best":[110],"our":[112],"knowledge,":[113],"GLOFIN":[114,138],"first":[117],"system":[118],"task.":[121],"Through":[122],"extensive":[123],"experiments":[124,157],"real-world":[126],"datasets,":[127],"demonstrate":[129,151],"GLOFIN's":[130,152],"effectiveness.":[131],"It":[132],"encouraging":[134],"see":[136],"outperforms":[139],"other":[140],"state-of-the-art":[141],"SSL":[142],"algorithms,":[143],"especially":[144],"low":[146],"settings.":[148],"also":[150],"robustness":[153],"noise":[155],"through":[156],"wide":[160],"variety":[161],"KBs,":[163],"ranging":[164],"from":[165],"user":[166],"contributed":[167],"(e.g.,":[168,173],"Freebase)":[169],"constructed":[172],"NELL).":[174],"facilitate":[176],"further":[177],"area,":[181],"made":[184],"datasets":[186],"code":[188],"used":[189],"paper":[192],"publicly":[193],"available.":[194]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":11},{"year":2015,"cited_by_count":3},{"year":2013,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
