{"id":"https://openalex.org/W21917888","doi":"https://doi.org/10.1007/978-3-642-35843-2_42","title":"Computing Semantic Similarity Using Large Static Corpora","display_name":"Computing Semantic Similarity Using Large Static Corpora","publication_year":2013,"publication_date":"2013-01-01","ids":{"openalex":"https://openalex.org/W21917888","doi":"https://doi.org/10.1007/978-3-642-35843-2_42","mag":"21917888"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-642-35843-2_42","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-35843-2_42","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5085615248","display_name":"Andr\u00e1s Dob\u00f3","orcid":"https://orcid.org/0000-0002-8640-6073"},"institutions":[{"id":"https://openalex.org/I227486990","display_name":"University of Szeged","ror":"https://ror.org/01pnej532","country_code":"HU","type":"education","lineage":["https://openalex.org/I227486990"]}],"countries":["HU"],"is_corresponding":true,"raw_author_name":"Andr\u00e1s Dob\u00f3","raw_affiliation_strings":["Institute of Informatics, University of Szeged, Szeged, Hungary"],"affiliations":[{"raw_affiliation_string":"Institute of Informatics, University of Szeged, Szeged, Hungary","institution_ids":["https://openalex.org/I227486990"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065289106","display_name":"J\u00e1nos Csirik","orcid":"https://orcid.org/0000-0003-3870-0363"},"institutions":[{"id":"https://openalex.org/I227486990","display_name":"University of Szeged","ror":"https://ror.org/01pnej532","country_code":"HU","type":"education","lineage":["https://openalex.org/I227486990"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"J\u00e1nos Csirik","raw_affiliation_strings":["Institute of Informatics, University of Szeged, Szeged, Hungary"],"affiliations":[{"raw_affiliation_string":"Institute of Informatics, University of Szeged, Szeged, Hungary","institution_ids":["https://openalex.org/I227486990"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5085615248"],"corresponding_institution_ids":["https://openalex.org/I227486990"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.3395,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.56274724,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"491","last_page":"502"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9998000264167786,"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":0.9975000023841858,"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":0.7844728827476501},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.7064163684844971},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6954220533370972},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.6676580905914307},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5933623909950256},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.5605115294456482},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4659636318683624},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4588944911956787},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4428030848503113},{"id":"https://openalex.org/keywords/latent-semantic-analysis","display_name":"Latent semantic analysis","score":0.4286750257015228},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.41652172803878784},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3619905114173889},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.14937254786491394}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7844728827476501},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.7064163684844971},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6954220533370972},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.6676580905914307},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5933623909950256},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.5605115294456482},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4659636318683624},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4588944911956787},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4428030848503113},{"id":"https://openalex.org/C170133592","wikidata":"https://www.wikidata.org/wiki/Q1806883","display_name":"Latent semantic analysis","level":2,"score":0.4286750257015228},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.41652172803878784},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3619905114173889},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.14937254786491394},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-642-35843-2_42","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-35843-2_42","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.7300000190734863}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W745926","https://openalex.org/W634065574","https://openalex.org/W1574901103","https://openalex.org/W1593045043","https://openalex.org/W1647729745","https://openalex.org/W1904641666","https://openalex.org/W1959533457","https://openalex.org/W1960027552","https://openalex.org/W1983578042","https://openalex.org/W2007709031","https://openalex.org/W2102515914","https://openalex.org/W2117805756","https://openalex.org/W2120779048","https://openalex.org/W2133322356","https://openalex.org/W2149660837","https://openalex.org/W2156124259","https://openalex.org/W2161443453","https://openalex.org/W2170682101","https://openalex.org/W2490512831","https://openalex.org/W2525786140","https://openalex.org/W2550286014","https://openalex.org/W2591251260","https://openalex.org/W2599191448","https://openalex.org/W2962689487","https://openalex.org/W3087927280","https://openalex.org/W3197748241"],"related_works":["https://openalex.org/W2180954594","https://openalex.org/W2052835778","https://openalex.org/W2049003611","https://openalex.org/W2384498496","https://openalex.org/W3152143533","https://openalex.org/W3016822073","https://openalex.org/W2626769217","https://openalex.org/W3021738440","https://openalex.org/W2367617289","https://openalex.org/W2321844481"],"abstract_inverted_index":null,"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
