{"id":"https://openalex.org/W2151718942","doi":"https://doi.org/10.1145/2124295.2124307","title":"Coupled temporal scoping of relational facts","display_name":"Coupled temporal scoping of relational facts","publication_year":2012,"publication_date":"2012-02-08","ids":{"openalex":"https://openalex.org/W2151718942","doi":"https://doi.org/10.1145/2124295.2124307","mag":"2151718942"},"language":"en","primary_location":{"id":"doi:10.1145/2124295.2124307","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2124295.2124307","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the fifth ACM international conference on Web search and data mining","raw_type":"proceedings-article"},"type":"conference-paper","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/A5033696194","display_name":"Partha Talukdar","orcid":"https://orcid.org/0000-0001-8825-589X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Partha Pratim Talukdar","raw_affiliation_strings":["CMU, Pittsburgh, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CMU, Pittsburgh, PA, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027174211","display_name":"Derry Wijaya","orcid":"https://orcid.org/0000-0002-0848-4703"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Derry Wijaya","raw_affiliation_strings":["CMU, Pittsburgh, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CMU, Pittsburgh, PA, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102921433","display_name":"Tom M. Mitchell","orcid":"https://orcid.org/0000-0001-7373-0301"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tom Mitchell","raw_affiliation_strings":["CMU, Pittsburgh, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CMU, Pittsburgh, PA, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":88,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"73","last_page":"82"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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"}},{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9977999925613403,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9958999752998352,"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/inference","display_name":"Inference","score":0.8341711163520813},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7696824669837952},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6457185745239258},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.5188361406326294},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.49828529357910156},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4676964282989502},{"id":"https://openalex.org/keywords/reading","display_name":"Reading (process)","score":0.4664086103439331},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.418750524520874},{"id":"https://openalex.org/keywords/temporal-database","display_name":"Temporal database","score":0.41059425473213196},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3624405860900879},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3463916778564453},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.27977240085601807},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.078245609998703}],"concepts":[{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.8341711163520813},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7696824669837952},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6457185745239258},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.5188361406326294},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.49828529357910156},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4676964282989502},{"id":"https://openalex.org/C554936623","wikidata":"https://www.wikidata.org/wiki/Q199657","display_name":"Reading (process)","level":2,"score":0.4664086103439331},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.418750524520874},{"id":"https://openalex.org/C77277458","wikidata":"https://www.wikidata.org/wiki/Q1969246","display_name":"Temporal database","level":2,"score":0.41059425473213196},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3624405860900879},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3463916778564453},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.27977240085601807},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.078245609998703},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/2124295.2124307","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2124295.2124307","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the fifth ACM international conference on Web search and data mining","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.221.6741","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.221.6741","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.talukdar.net/papers/wsdm367-talukdar.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.258.6325","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.258.6325","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://rtw.ml.cmu.edu/papers/talukdar-wsdm12.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7599999904632568}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W30314283","https://openalex.org/W1493490255","https://openalex.org/W1512387364","https://openalex.org/W1527781663","https://openalex.org/W1552297528","https://openalex.org/W1566346388","https://openalex.org/W1568013626","https://openalex.org/W1832726879","https://openalex.org/W1977970897","https://openalex.org/W1990886313","https://openalex.org/W2019096529","https://openalex.org/W2022166150","https://openalex.org/W2038742116","https://openalex.org/W2052762201","https://openalex.org/W2060381885","https://openalex.org/W2070029854","https://openalex.org/W2091181883","https://openalex.org/W2110493343","https://openalex.org/W2115461474","https://openalex.org/W2118656391","https://openalex.org/W2123167824","https://openalex.org/W2127194753","https://openalex.org/W2138623081","https://openalex.org/W2150741878","https://openalex.org/W2154504357","https://openalex.org/W2161484642","https://openalex.org/W2164245141","https://openalex.org/W4320013820"],"related_works":["https://openalex.org/W1496222301","https://openalex.org/W3207760230","https://openalex.org/W1590307681","https://openalex.org/W4312814274","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2353836703","https://openalex.org/W41015297","https://openalex.org/W4280645561"],"abstract_inverted_index":{"Recent":[0],"research":[1,110],"has":[2,111,158],"made":[3],"significant":[4],"advances":[5],"in":[6,27,71,122,130],"automatically":[7],"constructing":[8],"knowledge":[9,29],"bases":[10],"by":[11],"extracting":[12],"relational":[13,25],"facts":[14,26,96,135,179],"(e.g.,":[15],"Bill":[16,34],"Clinton-presidentOf-US)":[17],"from":[18,97,139],"large":[19,141,186],"text":[20],"corpora.":[21],"Temporally":[22],"scoping":[23,176],"such":[24,193],"the":[28,40,72,147],"base":[30],"(i.e.,":[31],"determining":[32],"that":[33,157,167],"Clinton-presidentOf-US":[35],"is":[36,44,104,153,170],"true":[37],"only":[38],"during":[39],"period":[41],"1993-":[42],"2001)":[43],"an":[45],"important,":[46],"but":[47],"relatively":[48],"unexplored":[49],"problem.":[50],"In":[51],"this":[52,61],"paper,":[53],"we":[54,119],"propose":[55],"a":[56,75,123,127,131,140],"joint":[57,160,168],"inference":[58,161,169],"framework":[59],"for":[60,116,162],"task,":[62],"which":[63],"leverages":[64],"fact-specific":[65],"temporal":[66,87,117,163,175],"constraints,":[67],"and":[68,91,99,198],"weak":[69],"supervision":[70],"form":[73],"of":[74,134,143,149,177],"few":[76],"labeled":[77],"examples.":[78],"Our":[79,102],"proposed":[80],"framework,":[81],"CoTS":[82],"(Coupled":[83],"Temporal":[84],"Scoping),":[85],"exploits":[86],"containment,":[88],"alignment,":[89],"succession,":[90],"mutual":[92],"exclusion":[93],"constraints":[94],"among":[95],"within":[98],"across":[100],"relations.":[101],"contribution":[103],"multi-fold.":[105],"Firstly,":[106],"while":[107],"most":[108],"previous":[109],"focused":[112],"on":[113,185],"micro-reading":[114],"approaches":[115],"scoping,":[118],"pose":[120],"it":[121],"macroreading":[124],"fashion,":[125],"as":[126,194],"change":[128],"detection":[129],"time":[132],"series":[133],"\u2019":[136],"features":[137],"computed":[138],"number":[142],"documents.":[144],"Secondly,":[145],"to":[146,173],"best":[148],"our":[150,183],"knowledge,":[151],"there":[152],"no":[154],"other":[155],"work":[156],"used":[159],"scoping.":[164],"We":[165,181],"show":[166],"effective":[171],"compared":[172],"doing":[174],"individual":[178],"independently.":[180],"conduct":[182],"experiments":[184],"scale":[187],"open-domain":[188],"publicly":[189],"available":[190],"time-stamped":[191],"datasets,":[192],"English":[195],"Gigaword":[196],"Corpus":[197],"Google":[199],"Books":[200],"Ngrams,":[201],"demonstrating":[202],"CoTS\u2019s":[203],"effectiveness.":[204]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":10},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":9},{"year":2014,"cited_by_count":15},{"year":2013,"cited_by_count":10},{"year":2012,"cited_by_count":11}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}