{"id":"https://openalex.org/W2759243117","doi":"https://doi.org/10.18653/v1/w17-5306","title":"Recognizing Textual Entailment in Twitter Using Word Embeddings","display_name":"Recognizing Textual Entailment in Twitter Using Word Embeddings","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2759243117","doi":"https://doi.org/10.18653/v1/w17-5306","mag":"2759243117"},"language":"en","primary_location":{"id":"doi:10.18653/v1/w17-5306","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w17-5306","pdf_url":"https://www.aclweb.org/anthology/W17-5306.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 2nd Workshop on Evaluating Vector Space\n          Representations for NLP","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/W17-5306.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5022951153","display_name":"Octavia-Maria \u015eulea","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Octavia-Maria \u015eulea","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5022951153"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5851,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.76079149,"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":"31","last_page":"35"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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/T10028","display_name":"Topic Modeling","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/T11147","display_name":"Misinformation and Its Impacts","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9944999814033508,"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/textual-entailment","display_name":"Textual entailment","score":0.9226374626159668},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7646685838699341},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.7200629115104675},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6737107038497925},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.6557472944259644},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6156882643699646},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6102529764175415},{"id":"https://openalex.org/keywords/logical-consequence","display_name":"Logical consequence","score":0.5221453309059143},{"id":"https://openalex.org/keywords/german","display_name":"German","score":0.5136984586715698},{"id":"https://openalex.org/keywords/test","display_name":"Test (biology)","score":0.4516545534133911},{"id":"https://openalex.org/keywords/test-data","display_name":"Test data","score":0.42842233180999756},{"id":"https://openalex.org/keywords/microblogging","display_name":"Microblogging","score":0.41902726888656616},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3277136981487274},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.17931362986564636},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.12341576814651489},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07831981778144836}],"concepts":[{"id":"https://openalex.org/C95318506","wikidata":"https://www.wikidata.org/wiki/Q6588467","display_name":"Textual entailment","level":3,"score":0.9226374626159668},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7646685838699341},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.7200629115104675},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6737107038497925},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.6557472944259644},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6156882643699646},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6102529764175415},{"id":"https://openalex.org/C134752490","wikidata":"https://www.wikidata.org/wiki/Q374182","display_name":"Logical consequence","level":2,"score":0.5221453309059143},{"id":"https://openalex.org/C154775046","wikidata":"https://www.wikidata.org/wiki/Q188","display_name":"German","level":2,"score":0.5136984586715698},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.4516545534133911},{"id":"https://openalex.org/C16910744","wikidata":"https://www.wikidata.org/wiki/Q7705759","display_name":"Test data","level":2,"score":0.42842233180999756},{"id":"https://openalex.org/C143275388","wikidata":"https://www.wikidata.org/wiki/Q92438","display_name":"Microblogging","level":3,"score":0.41902726888656616},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3277136981487274},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.17931362986564636},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.12341576814651489},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07831981778144836},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"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/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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/w17-5306","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w17-5306","pdf_url":"https://www.aclweb.org/anthology/W17-5306.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 2nd Workshop on Evaluating Vector Space\n          Representations for NLP","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/w17-5306","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w17-5306","pdf_url":"https://www.aclweb.org/anthology/W17-5306.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 2nd Workshop on Evaluating Vector Space\n          Representations for NLP","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.4099999964237213}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2759243117.pdf","grobid_xml":"https://content.openalex.org/works/W2759243117.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W55283194","https://openalex.org/W168564468","https://openalex.org/W658020064","https://openalex.org/W1559169059","https://openalex.org/W1560851690","https://openalex.org/W1840435438","https://openalex.org/W2118090838","https://openalex.org/W2118463056","https://openalex.org/W2130158090","https://openalex.org/W2130359236","https://openalex.org/W2142920810","https://openalex.org/W2153579005","https://openalex.org/W2384495648","https://openalex.org/W2563351168","https://openalex.org/W2573020085","https://openalex.org/W2574059908","https://openalex.org/W2962958286","https://openalex.org/W2963419548","https://openalex.org/W2963542836","https://openalex.org/W3122775348","https://openalex.org/W4294170691"],"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":{"In":[0],"this":[1],"paper,":[2],"we":[3,47],"investigate":[4],"the":[5,15,37,40,52,56],"application":[6],"of":[7,17,39,55],"machine":[8],"learning":[9],"techniques":[10],"and":[11],"word":[12],"embeddings":[13],"to":[14,36,51,65],"task":[16],"Recognizing":[18],"Textual":[19],"Entailment":[20],"(RTE)":[21],"in":[22,42,60],"Social":[23],"Media.":[24],"We":[25,32],"look":[26],"at":[27],"a":[28,43,68],"manually":[29],"labeled":[30],"dataset":[31],"obtain":[33],"comparable":[34],"results":[35,58],"state":[38],"art":[41],"train-test":[44,70],"setting,":[45],"but":[46],"show":[48],"that,":[49],"due":[50],"noisy":[53],"aspect":[54],"data,":[57],"plummet":[59],"an":[61],"evaluation":[62],"strategy":[63],"crafted":[64],"better":[66],"simulate":[67],"real-life":[69],"scenario.":[71]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}