{"id":"https://openalex.org/W2251307173","doi":"https://doi.org/10.3115/v1/w14-1612","title":"Towards Temporal Scoping of Relational Facts based on Wikipedia Data","display_name":"Towards Temporal Scoping of Relational Facts based on Wikipedia Data","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2251307173","doi":"https://doi.org/10.3115/v1/w14-1612","mag":"2251307173"},"language":"en","primary_location":{"id":"doi:10.3115/v1/w14-1612","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/w14-1612","pdf_url":"https://aclanthology.org/W14-1612.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 Eighteenth Conference on Computational Natural Language Learning","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/W14-1612.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5112335036","display_name":"Avirup Sil","orcid":"https://orcid.org/0000-0002-4753-3221"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]},{"id":"https://openalex.org/I84392919","display_name":"Temple University","ror":"https://ror.org/00kx1jb78","country_code":"US","type":"education","lineage":["https://openalex.org/I84392919"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Avirup Sil","raw_affiliation_strings":["Microsoft Research One Microsoft Way Redmond, WA 98052","Computer and Information Sciences Temple University Philadelphia, PA 19122"],"affiliations":[{"raw_affiliation_string":"Microsoft Research One Microsoft Way Redmond, WA 98052","institution_ids":["https://openalex.org/I1290206253"]},{"raw_affiliation_string":"Computer and Information Sciences Temple University Philadelphia, PA 19122","institution_ids":["https://openalex.org/I84392919"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077511783","display_name":"Silviu-Petru Cucerzan","orcid":null},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]},{"id":"https://openalex.org/I84392919","display_name":"Temple University","ror":"https://ror.org/00kx1jb78","country_code":"US","type":"education","lineage":["https://openalex.org/I84392919"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Silviu-Petru Cucerzan","raw_affiliation_strings":["Microsoft Research One Microsoft Way Redmond, WA 98052","Computer and Information Sciences Temple University Philadelphia, PA 19122"],"affiliations":[{"raw_affiliation_string":"Microsoft Research One Microsoft Way Redmond, WA 98052","institution_ids":["https://openalex.org/I1290206253"]},{"raw_affiliation_string":"Computer and Information Sciences Temple University Philadelphia, PA 19122","institution_ids":["https://openalex.org/I84392919"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5077511783"],"corresponding_institution_ids":["https://openalex.org/I1290206253","https://openalex.org/I84392919"],"apc_list":null,"apc_paid":null,"fwci":0.818,"has_fulltext":true,"cited_by_count":19,"citation_normalized_percentile":{"value":0.82084184,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9994999766349792,"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":0.9911999702453613,"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":0.7308271527290344},{"id":"https://openalex.org/keywords/relational-database","display_name":"Relational database","score":0.525382399559021},{"id":"https://openalex.org/keywords/temporal-database","display_name":"Temporal database","score":0.4502866864204407},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4196022152900696},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.41856417059898376},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.37211209535598755},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2508985996246338}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7308271527290344},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.525382399559021},{"id":"https://openalex.org/C77277458","wikidata":"https://www.wikidata.org/wiki/Q1969246","display_name":"Temporal database","level":2,"score":0.4502866864204407},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4196022152900696},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.41856417059898376},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.37211209535598755},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2508985996246338}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3115/v1/w14-1612","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/w14-1612","pdf_url":"https://aclanthology.org/W14-1612.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 Eighteenth Conference on Computational Natural Language Learning","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.3115/v1/w14-1612","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/w14-1612","pdf_url":"https://aclanthology.org/W14-1612.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 Eighteenth Conference on Computational Natural Language Learning","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2251307173.pdf","grobid_xml":"https://content.openalex.org/works/W2251307173.grobid-xml"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W30314283","https://openalex.org/W86887328","https://openalex.org/W1512387364","https://openalex.org/W1594128868","https://openalex.org/W1678356000","https://openalex.org/W1956885672","https://openalex.org/W1966578683","https://openalex.org/W2009937976","https://openalex.org/W2019054776","https://openalex.org/W2022166150","https://openalex.org/W2038742116","https://openalex.org/W2060381885","https://openalex.org/W2060716942","https://openalex.org/W2091181883","https://openalex.org/W2101816065","https://openalex.org/W2103931177","https://openalex.org/W2107598941","https://openalex.org/W2115461474","https://openalex.org/W2115584760","https://openalex.org/W2129615653","https://openalex.org/W2140244223","https://openalex.org/W2151718942","https://openalex.org/W2155882778","https://openalex.org/W2181629536","https://openalex.org/W2185083674","https://openalex.org/W2250523712","https://openalex.org/W2250606138","https://openalex.org/W2250680464","https://openalex.org/W2251758222","https://openalex.org/W2337392266","https://openalex.org/W2397910871","https://openalex.org/W2402842738","https://openalex.org/W2406434043","https://openalex.org/W4298372259"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2384888906","https://openalex.org/W2376314740","https://openalex.org/W2366644548","https://openalex.org/W2357241418","https://openalex.org/W2119214692","https://openalex.org/W2086064646","https://openalex.org/W2119135658","https://openalex.org/W2115485936","https://openalex.org/W2153015554"],"abstract_inverted_index":{"extraction":[0],"from":[1,86,100],"text":[2],"has":[3,15],"focused":[4],"on":[5,65,69,110,116],"named-entity":[6],"recognition,":[7],"entity":[8,93],"linking,":[9],"and":[10,97,129],"relation":[11,32],"extraction.":[12],"Less":[13],"attention":[14],"been":[16],"paid":[17],"given":[18],"to":[19],"extracting":[20],"the":[21,31,41,70,91,101,117,131,136],"temporal":[22,57,125],"scope":[23],"for":[24,29,56,124],"relations":[25,115],"between":[26],"named":[27],"entities;":[28],"example,":[30],"president-Of(John":[33],"F.":[34],"Kennedy,":[35],"USA)":[36],"is":[37,63],"true":[38],"only":[39],"in":[40,135],"time-frame":[42],"(January":[43],"20,":[44],"1961":[45],"-November":[46],"22,":[47],"1963).":[48],"In":[49],"this":[50],"paper":[51],"we":[52],"present":[53],"a":[54,95],"system":[55,77,106,134],"scoping":[58],"of":[59,82,94,113],"relational":[60],"facts,":[61],"which":[62],"trained":[64],"distant":[66],"supervision":[67],"based":[68],"largest":[71],"semi-structured":[72],"resource":[73],"available:":[74],"Wikipedia.":[75],"The":[76],"employs":[78],"language":[79],"models":[80],"consisting":[81],"patterns":[83],"automatically":[84],"bootstrapped":[85],"Wikipedia":[87],"sentences":[88],"that":[89],"contain":[90],"main":[92],"page":[96],"slot-fillers":[98],"extracted":[99],"corresponding":[102],"infoboxes.":[103],"This":[104],"proposed":[105],"achieves":[107],"state-of-the-art":[108],"results":[109],"6":[111],"out":[112],"7":[114],"benchmark":[118],"Text":[119],"Analysis":[120],"Conference":[121],"2013":[122,138],"dataset":[123],"slot":[126],"filling":[127],"(TSF),":[128],"outperforms":[130],"next":[132],"best":[133],"TAC":[137],"evaluation":[139],"by":[140],"more":[141],"than":[142],"10":[143],"points.":[144]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}