{"id":"https://openalex.org/W2982762284","doi":"https://doi.org/10.1145/3360901.3364412","title":"Identifying Ambiguity in Semantic Resources","display_name":"Identifying Ambiguity in Semantic Resources","publication_year":2019,"publication_date":"2019-09-23","ids":{"openalex":"https://openalex.org/W2982762284","doi":"https://doi.org/10.1145/3360901.3364412","mag":"2982762284"},"language":"en","primary_location":{"id":"doi:10.1145/3360901.3364412","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3360901.3364412","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th International Conference on Knowledge Capture","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/A5044717421","display_name":"Anni Coden","orcid":null},"institutions":[{"id":"https://openalex.org/I4401726965","display_name":"Boston Consulting Group (United States)","ror":"https://ror.org/01526xe10","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726965"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anni Coden","raw_affiliation_strings":["The Boston Consulting Group (BCG), New York, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Boston Consulting Group (BCG), New York, NY, USA","institution_ids":["https://openalex.org/I4401726965"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045091443","display_name":"Anna Lisa Gentile","orcid":"https://orcid.org/0000-0002-6401-4175"},"institutions":[{"id":"https://openalex.org/I4210085935","display_name":"IBM Research - Almaden","ror":"https://ror.org/005w8dd04","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210085935","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anna Lisa Gentile","raw_affiliation_strings":["IBM Research Almaden, San Jose, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research Almaden, San Jose, CA, USA","institution_ids":["https://openalex.org/I4210085935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006397816","display_name":"Daniel Gruhl","orcid":"https://orcid.org/0009-0006-9124-6752"},"institutions":[{"id":"https://openalex.org/I4210085935","display_name":"IBM Research - Almaden","ror":"https://ror.org/005w8dd04","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210085935","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Daniel Gruhl","raw_affiliation_strings":["IBM Research Almaden, San Jose, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research Almaden, San Jose, CA, USA","institution_ids":["https://openalex.org/I4210085935"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108491986","display_name":"Steve Welch","orcid":null},"institutions":[{"id":"https://openalex.org/I4210085935","display_name":"IBM Research - Almaden","ror":"https://ror.org/005w8dd04","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210085935","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Steve Welch","raw_affiliation_strings":["IBM Research Almaden, San Jose, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research Almaden, San Jose, CA, USA","institution_ids":["https://openalex.org/I4210085935"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13488987,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9977999925613403,"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":0.995199978351593,"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":0.8352528810501099},{"id":"https://openalex.org/keywords/ambiguity","display_name":"Ambiguity","score":0.8004115223884583},{"id":"https://openalex.org/keywords/spurious-relationship","display_name":"Spurious relationship","score":0.7349912524223328},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6817114353179932},{"id":"https://openalex.org/keywords/mistake","display_name":"Mistake","score":0.6747980713844299},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6301038265228271},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5860009789466858},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.5584445595741272},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49911069869995117},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.48115575313568115},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.4704897403717041},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.4624865651130676},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.4267072081565857},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.20407629013061523}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8352528810501099},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.8004115223884583},{"id":"https://openalex.org/C97256817","wikidata":"https://www.wikidata.org/wiki/Q1462316","display_name":"Spurious relationship","level":2,"score":0.7349912524223328},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6817114353179932},{"id":"https://openalex.org/C2777179996","wikidata":"https://www.wikidata.org/wiki/Q911222","display_name":"Mistake","level":2,"score":0.6747980713844299},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6301038265228271},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5860009789466858},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.5584445595741272},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49911069869995117},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.48115575313568115},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.4704897403717041},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.4624865651130676},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.4267072081565857},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.20407629013061523},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3360901.3364412","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3360901.3364412","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th International Conference on Knowledge Capture","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.75}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W12553087","https://openalex.org/W295710475","https://openalex.org/W1487358904","https://openalex.org/W1513718494","https://openalex.org/W1521125545","https://openalex.org/W1724588178","https://openalex.org/W1870959433","https://openalex.org/W1977609394","https://openalex.org/W2053039860","https://openalex.org/W2053906594","https://openalex.org/W2067367118","https://openalex.org/W2079641356","https://openalex.org/W2081580037","https://openalex.org/W2099899682","https://openalex.org/W2100581574","https://openalex.org/W2101293500","https://openalex.org/W2101553882","https://openalex.org/W2107598941","https://openalex.org/W2121147707","https://openalex.org/W2150034910","https://openalex.org/W2153579005","https://openalex.org/W2155870214","https://openalex.org/W2156641871","https://openalex.org/W2165596530","https://openalex.org/W2166021673","https://openalex.org/W2166776180","https://openalex.org/W2251135946","https://openalex.org/W2251537235","https://openalex.org/W2329848832","https://openalex.org/W2436001372","https://openalex.org/W2505532336","https://openalex.org/W2511570169","https://openalex.org/W2518202280","https://openalex.org/W2520641200","https://openalex.org/W2741913829","https://openalex.org/W2775871438","https://openalex.org/W2779326814","https://openalex.org/W2962776108","https://openalex.org/W2963639656","https://openalex.org/W2979401726","https://openalex.org/W3154772965","https://openalex.org/W4255198209"],"related_works":["https://openalex.org/W1590719878","https://openalex.org/W4244271513","https://openalex.org/W3113091479","https://openalex.org/W2162899405","https://openalex.org/W2365974527","https://openalex.org/W4306382224","https://openalex.org/W941090075","https://openalex.org/W4226517682","https://openalex.org/W3108263396","https://openalex.org/W2895872277"],"abstract_inverted_index":{"In":[0,91],"many":[1,46],"Information":[2,126],"Extraction":[3,127],"tasks,":[4],"dictionaries":[5,41,56],"and":[6,84,98],"lexica":[7],"are":[8,110],"powerful":[9],"building":[10],"blocks":[11],"for":[12],"sophisticated":[13],"extractions.":[14],"The":[15],"success":[16],"of":[17,31,133],"the":[18,22,81,121,131,134],"Semantic":[19],"Web":[20,149],"in":[21,45,80,105,157],"last":[23],"10":[24],"years":[25],"has":[26],"produced":[27],"an":[28,50,87,154],"unprecedented":[29],"quantity":[30],"available":[32,142],"structured":[33],"data":[34],"that":[35],"can":[36],"be":[37],"leveraged":[38],"to":[39,101,116,123],"produce":[40],"on":[42,140],"countless":[43],"concepts":[44],"domains.":[47],"While":[48],"being":[49],"invaluable":[51],"resource,":[52],"these":[53],"automatically":[54],"built":[55],"may":[57],"contain":[58],"\"problematic\"":[59],"items,":[60],"such":[61],"as":[62,151],"spurious":[63,113],"words,":[64,73],"which":[65,74,109],"have":[66],"been":[67],"included":[68],"by":[69],"mistake,":[70],"or":[71,112],"ambiguous":[72,111],"appear":[75],"with":[76,114,120,136,153],"multiple":[77],"different":[78],"meanings":[79],"target":[82],"corpus":[83,150],"therefore":[85],"necessitating":[86],"expensive":[88],"disambiguation":[89],"task.":[90],"this":[92],"paper,":[93],"we":[94],"propose":[95],"a":[96,106,117,137,146,159],"simple":[97],"effective":[99],"method":[100,135],"identify":[102],"problematic":[103],"terms":[104],"given":[107,118],"dictionary,":[108],"respect":[115],"corpus,":[119],"aim":[122],"facilitate":[124],"subsequent":[125],"tasks.":[128],"We":[129],"prove":[130],"effectiveness":[132],"systematic":[138],"experiment":[139],"publicly":[141],"concept":[143],"dictionaries,":[144],"using":[145],"very":[147],"large":[148],"target,":[152],"average":[155],"precision":[156],"identifying":[158],"problem":[160],"term":[161],"above":[162],"85%.":[163]},"counts_by_year":[],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2025-10-10T00:00:00"}