{"id":"https://openalex.org/W2139404310","doi":"https://doi.org/10.3115/v1/s14-2021","title":"BUAP: Evaluating Compositional Distributional Semantic Models on Full Sentences through Semantic Relatedness and Textual Entailment","display_name":"BUAP: Evaluating Compositional Distributional Semantic Models on Full Sentences through Semantic Relatedness and Textual Entailment","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2139404310","doi":"https://doi.org/10.3115/v1/s14-2021","mag":"2139404310"},"language":"en","primary_location":{"id":"doi:10.3115/v1/s14-2021","is_oa":true,"landing_page_url":"http://doi.org/10.3115/v1/s14-2021","pdf_url":"https://doi.org/10.3115/v1/s14-2021","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.3115/v1/s14-2021","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5066476045","display_name":"Sa\u00fal Le\u00f3n","orcid":null},"institutions":[{"id":"https://openalex.org/I721619","display_name":"Benem\u00e9rita Universidad Aut\u00f3noma de Puebla","ror":"https://ror.org/03p2z7827","country_code":"MX","type":"education","lineage":["https://openalex.org/I721619"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Saul Leon","raw_affiliation_strings":[", Benem\u00e9rita Universidad Aut\u00f3noma de Puebla"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":", Benem\u00e9rita Universidad Aut\u00f3noma de Puebla","institution_ids":["https://openalex.org/I721619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052100151","display_name":"Darnes Vilari\u00f1o","orcid":null},"institutions":[{"id":"https://openalex.org/I721619","display_name":"Benem\u00e9rita Universidad Aut\u00f3noma de Puebla","ror":"https://ror.org/03p2z7827","country_code":"MX","type":"education","lineage":["https://openalex.org/I721619"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Darnes Vilari\u00f1o","raw_affiliation_strings":[", Benem\u00e9rita Universidad Aut\u00f3noma de Puebla"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":", Benem\u00e9rita Universidad Aut\u00f3noma de Puebla","institution_ids":["https://openalex.org/I721619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016612157","display_name":"David Pinto","orcid":"https://orcid.org/0000-0002-8516-5925"},"institutions":[{"id":"https://openalex.org/I721619","display_name":"Benem\u00e9rita Universidad Aut\u00f3noma de Puebla","ror":"https://ror.org/03p2z7827","country_code":"MX","type":"education","lineage":["https://openalex.org/I721619"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"David Pinto","raw_affiliation_strings":[", Benem\u00e9rita Universidad Aut\u00f3noma de Puebla"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":", Benem\u00e9rita Universidad Aut\u00f3noma de Puebla","institution_ids":["https://openalex.org/I721619"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Mireya Tovar","orcid":null},"institutions":[{"id":"https://openalex.org/I721619","display_name":"Benem\u00e9rita Universidad Aut\u00f3noma de Puebla","ror":"https://ror.org/03p2z7827","country_code":"MX","type":"education","lineage":["https://openalex.org/I721619"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Mireya Tovar","raw_affiliation_strings":[", Benem\u00e9rita Universidad Aut\u00f3noma de Puebla"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":", Benem\u00e9rita Universidad Aut\u00f3noma de Puebla","institution_ids":["https://openalex.org/I721619"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012040249","display_name":"Beatr\u00edz Beltr\u00e1n","orcid":"https://orcid.org/0000-0003-4528-4222"},"institutions":[{"id":"https://openalex.org/I721619","display_name":"Benem\u00e9rita Universidad Aut\u00f3noma de Puebla","ror":"https://ror.org/03p2z7827","country_code":"MX","type":"education","lineage":["https://openalex.org/I721619"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Beatriz Beltr\u00e1n","raw_affiliation_strings":[", Benem\u00e9rita Universidad Aut\u00f3noma de Puebla"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":", Benem\u00e9rita Universidad Aut\u00f3noma de Puebla","institution_ids":["https://openalex.org/I721619"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8458,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.82257978,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"145","last_page":"148"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":1.0,"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":1.0,"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":0.9998999834060669,"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9908999800682068,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8068296909332275},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.805182158946991},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7727307081222534},{"id":"https://openalex.org/keywords/textual-entailment","display_name":"Textual entailment","score":0.772192120552063},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.685458242893219},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.600412130355835},{"id":"https://openalex.org/keywords/semeval","display_name":"SemEval","score":0.5911111831665039},{"id":"https://openalex.org/keywords/logical-consequence","display_name":"Logical consequence","score":0.5586846470832825},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5341882705688477},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4445993900299072}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8068296909332275},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.805182158946991},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7727307081222534},{"id":"https://openalex.org/C95318506","wikidata":"https://www.wikidata.org/wiki/Q6588467","display_name":"Textual entailment","level":3,"score":0.772192120552063},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.685458242893219},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.600412130355835},{"id":"https://openalex.org/C44572571","wikidata":"https://www.wikidata.org/wiki/Q7448970","display_name":"SemEval","level":3,"score":0.5911111831665039},{"id":"https://openalex.org/C134752490","wikidata":"https://www.wikidata.org/wiki/Q374182","display_name":"Logical consequence","level":2,"score":0.5586846470832825},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5341882705688477},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4445993900299072},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3115/v1/s14-2021","is_oa":true,"landing_page_url":"http://doi.org/10.3115/v1/s14-2021","pdf_url":"https://doi.org/10.3115/v1/s14-2021","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.3115/v1/s14-2021","is_oa":true,"landing_page_url":"http://doi.org/10.3115/v1/s14-2021","pdf_url":"https://doi.org/10.3115/v1/s14-2021","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.5799999833106995,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1566018662","https://openalex.org/W1647729745","https://openalex.org/W2100935296","https://openalex.org/W2117805756","https://openalex.org/W2136480620","https://openalex.org/W2250790822","https://openalex.org/W2251869843","https://openalex.org/W2534712034"],"related_works":["https://openalex.org/W2169644218","https://openalex.org/W12963412","https://openalex.org/W2250460949","https://openalex.org/W3158371345","https://openalex.org/W3141423438","https://openalex.org/W2071098659","https://openalex.org/W2627035043","https://openalex.org/W4385571113","https://openalex.org/W2937401546","https://openalex.org/W3030695269"],"abstract_inverted_index":{"The":[0,18,61],"results":[1],"obtained":[2,69],"by":[3],"the":[4,37,58,64,74,78,86,95],"BUAP":[5],"team":[6],"at":[7,77,94],"Task":[8],"1":[9],"of":[10,43,89],"SemEval":[11],"2014":[12],"are":[13],"presented":[14],"in":[15,85],"this":[16],"paper.":[17],"run":[19],"submitted":[20],"is":[21],"a":[22,41],"supervised":[23],"version":[24],"based":[25],"on":[26],"two":[27,59],"classification":[28],"models:":[29],"1)":[30],"We":[31,47],"used":[32],"logistic":[33],"regression":[34],"for":[35,52,63],"determining":[36],"semantic":[38],"relatedness":[39],"between":[40,57],"pair":[42],"sentences,":[44],"and":[45],"2)":[46],"employed":[48],"support":[49],"vector":[50],"machines":[51],"identifying":[53],"textual":[54],"entailment":[55],"degree":[56],"sentences.":[60],"behaviour":[62],"second":[65],"subtask":[66,80],"(textual":[67],"entailment)":[68],"much":[70],"better":[71],"performance":[72],"than":[73],"one":[75],"evaluated":[76],"first":[79],"(relatedness),":[81],"ranking":[82],"our":[83],"approach":[84],"7th":[87],"position":[88],"18":[90],"teams":[91],"that":[92],"participated":[93],"competition.":[96]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}