{"id":"https://openalex.org/W2513473369","doi":"https://doi.org/10.18653/v1/w16-2525","title":"SLEDDED: A Proposed Dataset of Event Descriptions for Evaluating Phrase Representations","display_name":"SLEDDED: A Proposed Dataset of Event Descriptions for Evaluating Phrase Representations","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2513473369","doi":"https://doi.org/10.18653/v1/w16-2525","mag":"2513473369"},"language":"en","primary_location":{"id":"doi:10.18653/v1/w16-2525","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w16-2525","pdf_url":"https://www.aclweb.org/anthology/W16-2525.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 1st 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/W16-2525.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5059804251","display_name":"Laura Rimell","orcid":null},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]},{"id":"https://openalex.org/I4210096386","display_name":"Bridge University","ror":"https://ror.org/00cbm0437","country_code":"SS","type":"education","lineage":["https://openalex.org/I4210096386"]}],"countries":["GB","SS"],"is_corresponding":true,"raw_author_name":"Laura Rimell","raw_affiliation_strings":["Computer Laboratory University of Cambridge"],"affiliations":[{"raw_affiliation_string":"Computer Laboratory University of Cambridge","institution_ids":["https://openalex.org/I4210096386","https://openalex.org/I241749"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038862682","display_name":"Eva Maria Vecchi","orcid":null},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]},{"id":"https://openalex.org/I4210096386","display_name":"Bridge University","ror":"https://ror.org/00cbm0437","country_code":"SS","type":"education","lineage":["https://openalex.org/I4210096386"]}],"countries":["GB","SS"],"is_corresponding":false,"raw_author_name":"Eva Maria Vecchi","raw_affiliation_strings":["Computer Laboratory University of Cambridge"],"affiliations":[{"raw_affiliation_string":"Computer Laboratory University of Cambridge","institution_ids":["https://openalex.org/I4210096386","https://openalex.org/I241749"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5059804251"],"corresponding_institution_ids":["https://openalex.org/I241749","https://openalex.org/I4210096386"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05155939,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"140","last_page":"144"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","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/T10181","display_name":"Natural Language Processing Techniques","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/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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9979000091552734,"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":0.8028712272644043},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.76081383228302},{"id":"https://openalex.org/keywords/phrase","display_name":"Phrase","score":0.7162901163101196},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6693614721298218},{"id":"https://openalex.org/keywords/noun-phrase","display_name":"Noun phrase","score":0.6561962366104126},{"id":"https://openalex.org/keywords/automatic-summarization","display_name":"Automatic summarization","score":0.5997669696807861},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.5752652883529663},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5728963613510132},{"id":"https://openalex.org/keywords/noun","display_name":"Noun","score":0.27113163471221924}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8028712272644043},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.76081383228302},{"id":"https://openalex.org/C2776224158","wikidata":"https://www.wikidata.org/wiki/Q187931","display_name":"Phrase","level":2,"score":0.7162901163101196},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6693614721298218},{"id":"https://openalex.org/C153962237","wikidata":"https://www.wikidata.org/wiki/Q1401131","display_name":"Noun phrase","level":3,"score":0.6561962366104126},{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.5997669696807861},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.5752652883529663},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5728963613510132},{"id":"https://openalex.org/C121934690","wikidata":"https://www.wikidata.org/wiki/Q1084","display_name":"Noun","level":2,"score":0.27113163471221924},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/w16-2525","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w16-2525","pdf_url":"https://www.aclweb.org/anthology/W16-2525.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 1st Workshop on Evaluating Vector-Space\n          Representations for NLP","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/w16-2525","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w16-2525","pdf_url":"https://www.aclweb.org/anthology/W16-2525.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 1st Workshop on Evaluating Vector-Space\n          Representations for NLP","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2513473369.pdf","grobid_xml":"https://content.openalex.org/works/W2513473369.grobid-xml"},"referenced_works_count":14,"referenced_works":["https://openalex.org/W1504636771","https://openalex.org/W1783904512","https://openalex.org/W1980776243","https://openalex.org/W1984052055","https://openalex.org/W2003458629","https://openalex.org/W2010581447","https://openalex.org/W2014394530","https://openalex.org/W2150588363","https://openalex.org/W2153072998","https://openalex.org/W2153702313","https://openalex.org/W2250790822","https://openalex.org/W2251469477","https://openalex.org/W2251869843","https://openalex.org/W4234387681"],"related_works":["https://openalex.org/W2366403280","https://openalex.org/W1495108544","https://openalex.org/W2091301346","https://openalex.org/W3148229873","https://openalex.org/W4389760904","https://openalex.org/W2150160875","https://openalex.org/W4242223894","https://openalex.org/W4306886878","https://openalex.org/W2973759123","https://openalex.org/W2124764926"],"abstract_inverted_index":{"Measuring":[0],"the":[1,33,36,74,83,101,115,162],"semantic":[2,13],"relatedness":[3,18],"of":[4,35,46,51,82,117,138,149,161],"phrase":[5,17,29,57],"pairs":[6,58,131],"is":[7],"important":[8],"for":[9,68,95,107,114,128],"evaluating":[10],"compositional":[11],"distributional":[12],"representations.":[14],"Many":[15],"existing":[16],"datasets":[19],"are":[20,59],"limited":[21],"to":[22,61,98,100],"either":[23],"lexical":[24,64],"or":[25],"syntactic":[26,66],"alternations":[27],"between":[28],"pairs,":[30],"which":[31,55,109],"limits":[32],"power":[34],"evaluation.":[37],"We":[38,77,124,155],"propose":[39,79],"SLEDDED":[40],"(Syntactically":[41],"and":[42,65,122,143],"LExically":[43],"Divergent":[44],"Dataset":[45],"Event":[47],"Descriptions),":[48],"a":[49,70,80,112,126,133,144,159],"dataset":[50],"event":[52,88,120,139],"descriptions":[53,89],"in":[54],"related":[56,91],"designed":[60],"exhibit":[62],"minimal":[63],"overlap;":[67],"example,":[69,96],"decisive":[71],"victory":[72],"-won":[73],"match":[75],"clearly.":[76],"also":[78],"subset":[81],"data":[84],"aimed":[85],"at":[86],"distinguishing":[87],"from":[90,132,158],"but":[92],"dissimilar":[93],"phrases;":[94],"vowing":[97],"fight":[99],"death":[102],"-a":[103],"new":[104],"training":[105],"regime":[106],"soldiers,":[108],"serves":[110],"as":[111],"proxy":[113],"tasks":[116],"narrative":[118],"generation,":[119],"sequencing,":[121],"summarization.":[123],"describe":[125],"method":[127],"extracting":[129],"candidate":[130],"corpus":[134],"based":[135],"on":[136],"occurrences":[137],"nouns":[140],"(e.g.":[141],"war)":[142],"two-step":[145],"annotation":[146,151,164],"process":[147],"consisting":[148],"expert":[150,163],"followed":[152],"by":[153],"crowdsourcing.":[154],"present":[156],"examples":[157],"pilot":[160],"step.":[165]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}