{"id":"https://openalex.org/W2250290716","doi":"https://doi.org/10.3115/v1/s14-1006","title":"Exploring ESA to Improve Word Relatedness","display_name":"Exploring ESA to Improve Word Relatedness","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2250290716","doi":"https://doi.org/10.3115/v1/s14-1006","mag":"2250290716"},"language":"en","primary_location":{"id":"doi:10.3115/v1/s14-1006","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/s14-1006","pdf_url":"https://aclanthology.org/S14-1006.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 of the Third Joint Conference on Lexical and Computational Semantics (*SEM 2014)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/S14-1006.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021132180","display_name":"Nitish Aggarwal","orcid":"https://orcid.org/0000-0001-7675-4122"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nitish Aggarwal","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008768410","display_name":"Kartik Asooja","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kartik Asooja","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5025406029","display_name":"Paul Buitelaar","orcid":"https://orcid.org/0000-0001-7238-9842"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Paul Buitelaar","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8271,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.74919475,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"51","last_page":"56"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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/T10028","display_name":"Topic Modeling","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/T10181","display_name":"Natural Language Processing Techniques","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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9987000226974487,"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":0.819437563419342},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.7449885606765747},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.6252700686454773},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.5899752378463745},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5789132118225098},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5640044212341309},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.49122875928878784},{"id":"https://openalex.org/keywords/explicit-semantic-analysis","display_name":"Explicit semantic analysis","score":0.4583200514316559},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.45438703894615173},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.44254499673843384},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.43879765272140503},{"id":"https://openalex.org/keywords/natural-language-understanding","display_name":"Natural language understanding","score":0.41647377610206604},{"id":"https://openalex.org/keywords/semantic-computing","display_name":"Semantic computing","score":0.3848186731338501},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.23221153020858765},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.18507298827171326},{"id":"https://openalex.org/keywords/semantic-technology","display_name":"Semantic technology","score":0.15468338131904602},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07442021369934082}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.819437563419342},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.7449885606765747},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.6252700686454773},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.5899752378463745},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5789132118225098},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5640044212341309},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.49122875928878784},{"id":"https://openalex.org/C173862523","wikidata":"https://www.wikidata.org/wiki/Q5421270","display_name":"Explicit semantic analysis","level":5,"score":0.4583200514316559},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.45438703894615173},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.44254499673843384},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.43879765272140503},{"id":"https://openalex.org/C2779439875","wikidata":"https://www.wikidata.org/wiki/Q1078276","display_name":"Natural language understanding","level":3,"score":0.41647377610206604},{"id":"https://openalex.org/C511149849","wikidata":"https://www.wikidata.org/wiki/Q7449051","display_name":"Semantic computing","level":3,"score":0.3848186731338501},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.23221153020858765},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.18507298827171326},{"id":"https://openalex.org/C6881194","wikidata":"https://www.wikidata.org/wiki/Q7449091","display_name":"Semantic technology","level":4,"score":0.15468338131904602},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07442021369934082},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3115/v1/s14-1006","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/s14-1006","pdf_url":"https://aclanthology.org/S14-1006.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 of the Third Joint Conference on Lexical and Computational Semantics (*SEM 2014)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.3115/v1/s14-1006","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/s14-1006","pdf_url":"https://aclanthology.org/S14-1006.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 of the Third Joint Conference on Lexical and Computational Semantics (*SEM 2014)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.8399999737739563,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W2250290716.pdf"},"referenced_works_count":14,"referenced_works":["https://openalex.org/W1788602","https://openalex.org/W31838995","https://openalex.org/W39617701","https://openalex.org/W145425800","https://openalex.org/W1519862397","https://openalex.org/W1794117188","https://openalex.org/W2004360803","https://openalex.org/W2067438047","https://openalex.org/W2120779048","https://openalex.org/W2162890210","https://openalex.org/W2171548427","https://openalex.org/W2251861449","https://openalex.org/W2394716307","https://openalex.org/W2882319491"],"related_works":["https://openalex.org/W2103835134","https://openalex.org/W1965623300","https://openalex.org/W2359259132","https://openalex.org/W3134365128","https://openalex.org/W3016822073","https://openalex.org/W2774861092","https://openalex.org/W2807098362","https://openalex.org/W2156467700","https://openalex.org/W2114077504","https://openalex.org/W4387489691"],"abstract_inverted_index":{"Explicit":[0],"Semantic":[1],"Analysis":[2],"(ESA)":[3],"is":[4],"an":[5,110],"approach":[6,50,111],"to":[7,112],"calculate":[8],"the":[9,20,35,49,59,64,76,91,114,123],"semantic":[10,92,116],"relatedness":[11,93,117],"between":[12],"two":[13],"words":[14,120,124],"or":[15],"natural":[16,38],"language":[17,39],"texts":[18],"with":[19,125],"help":[21],"of":[22,37,48,78,82,97],"concepts":[23],"grounded":[24],"in":[25,34,58,85],"human":[26],"cognition.":[27],"ESA":[28,87,115],"usage":[29],"has":[30],"received":[31],"much":[32],"attention":[33],"field":[36],"processing,":[40],"information":[41],"retrieval":[42],"and":[43,61,102,133],"text":[44,65,98],"analysis,":[45],"however,":[46],"performance":[47],"depends":[51],"on":[52,63],"several":[53],"parameters":[54],"that":[55],"are":[56],"included":[57],"model,":[60,88],"also":[62],"data":[66],"type":[67],"used":[68],"for":[69,89,94,119],"evaluation.":[70],"In":[71],"this":[72],"paper,":[73],"we":[74,107],"investigate":[75],"behavior":[77],"using":[79],"different":[80,95],"number":[81],"Wikipedia":[83,134],"articles":[84],"building":[86],"calculating":[90],"types":[96],"pairs:":[99],"word-word,":[100],"phrasephrase":[101],"document-document.":[103],"With":[104],"our":[105],"findings,":[106],"further":[108],"propose":[109],"improve":[113],"scores":[118],"by":[121],"enriching":[122],"their":[126],"explicit":[127],"context":[128],"such":[129],"as":[130],"synonyms,":[131],"glosses":[132],"definitions.":[135]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}