{"id":"https://openalex.org/W2892202918","doi":"https://doi.org/10.18653/v1/d18-2013","title":"CogCompTime: A Tool for Understanding Time in Natural Language","display_name":"CogCompTime: A Tool for Understanding Time in Natural Language","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2892202918","doi":"https://doi.org/10.18653/v1/d18-2013","mag":"2892202918"},"language":"en","primary_location":{"id":"doi:10.18653/v1/d18-2013","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d18-2013","pdf_url":"https://www.aclweb.org/anthology/D18-2013.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 2018 Conference on Empirical Methods in Natural Language Processing: System Demonstrations","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/D18-2013.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5032597148","display_name":"Ning Qiang","orcid":"https://orcid.org/0000-0001-8321-866X"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Qiang Ning","raw_affiliation_strings":["University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020349386","display_name":"Ben Zhou","orcid":"https://orcid.org/0009-0009-1684-3719"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ben Zhou","raw_affiliation_strings":["University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075312638","display_name":"Zhili Feng","orcid":null},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhili Feng","raw_affiliation_strings":["University of Wisconsin-Madison, Madison, WI 53706, USA"],"affiliations":[{"raw_affiliation_string":"University of Wisconsin-Madison, Madison, WI 53706, USA","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026924151","display_name":"Haoruo Peng","orcid":"https://orcid.org/0000-0002-0934-1499"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Haoruo Peng","raw_affiliation_strings":["University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023802054","display_name":"Dan Roth","orcid":"https://orcid.org/0009-0002-1447-5173"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]},{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dan Roth","raw_affiliation_strings":["University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA","University of Pennsylvania, Philadelphia, PA 19104, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"University of Pennsylvania, Philadelphia, PA 19104, USA","institution_ids":["https://openalex.org/I79576946"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5032597148"],"corresponding_institution_ids":["https://openalex.org/I157725225"],"apc_list":null,"apc_paid":null,"fwci":6.6003,"has_fulltext":true,"cited_by_count":66,"citation_normalized_percentile":{"value":0.97325129,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"72","last_page":"77"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9970999956130981,"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":0.9970999956130981,"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/T11106","display_name":"Data Management and Algorithms","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9961000084877014,"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":0.8312976956367493},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.6473113298416138},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.6416168808937073},{"id":"https://openalex.org/keywords/natural","display_name":"Natural (archaeology)","score":0.5758209228515625},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.5094502568244934},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4049738645553589},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3913748264312744},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.24582436680793762},{"id":"https://openalex.org/keywords/history","display_name":"History","score":0.06111004948616028}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8312976956367493},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.6473113298416138},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.6416168808937073},{"id":"https://openalex.org/C2776608160","wikidata":"https://www.wikidata.org/wiki/Q4785462","display_name":"Natural (archaeology)","level":2,"score":0.5758209228515625},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.5094502568244934},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4049738645553589},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3913748264312744},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.24582436680793762},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.06111004948616028},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/d18-2013","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d18-2013","pdf_url":"https://www.aclweb.org/anthology/D18-2013.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 2018 Conference on Empirical Methods in Natural Language Processing: System Demonstrations","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/d18-2013","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d18-2013","pdf_url":"https://www.aclweb.org/anthology/D18-2013.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 2018 Conference on Empirical Methods in Natural Language Processing: System Demonstrations","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.8700000047683716,"id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G5176188519","display_name":null,"funder_award_id":"Cooperative Agreement Number W911NF-09-2-0053 (the","funder_id":"https://openalex.org/F4320338295","funder_display_name":"Army Research Laboratory"},{"id":"https://openalex.org/G5259331294","display_name":null,"funder_award_id":"W911NF","funder_id":"https://openalex.org/F4320338295","funder_display_name":"Army Research Laboratory"},{"id":"https://openalex.org/G7613089716","display_name":null,"funder_award_id":"W911NF-09-2-0053 (the ARL Network Science CTA)","funder_id":"https://openalex.org/F4320338295","funder_display_name":"Army Research Laboratory"},{"id":"https://openalex.org/G948678646","display_name":null,"funder_award_id":"W911NF-09-2-0053","funder_id":"https://openalex.org/F4320338295","funder_display_name":"Army Research Laboratory"}],"funders":[{"id":"https://openalex.org/F4320316786","display_name":"Center for Cognitive Computing Systems Research","ror":null},{"id":"https://openalex.org/F4320317052","display_name":"Allen Institute for Artificial Intelligence","ror":"https://ror.org/05w520734"},{"id":"https://openalex.org/F4320338295","display_name":"Army Research Laboratory","ror":"https://ror.org/011hc8f90"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2892202918.pdf","grobid_xml":"https://content.openalex.org/works/W2892202918.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W93363620","https://openalex.org/W1700470553","https://openalex.org/W1956885672","https://openalex.org/W1985875906","https://openalex.org/W1990886313","https://openalex.org/W2098844768","https://openalex.org/W2112251443","https://openalex.org/W2140244223","https://openalex.org/W2141539902","https://openalex.org/W2147923392","https://openalex.org/W2157275230","https://openalex.org/W2161290181","https://openalex.org/W2185599447","https://openalex.org/W2251220668","https://openalex.org/W2251758222","https://openalex.org/W2251873637","https://openalex.org/W2566266660","https://openalex.org/W2760579680","https://openalex.org/W2798602728","https://openalex.org/W2798865369","https://openalex.org/W2806070455","https://openalex.org/W2949995692","https://openalex.org/W2963247627","https://openalex.org/W2963797084"],"related_works":["https://openalex.org/W4283262748","https://openalex.org/W2502773048","https://openalex.org/W4252362398","https://openalex.org/W48866389","https://openalex.org/W4226226396","https://openalex.org/W2368651715","https://openalex.org/W3153750606","https://openalex.org/W4308854837","https://openalex.org/W2329000834","https://openalex.org/W2165504147"],"abstract_inverted_index":{"Automatic":[0],"extraction":[1],"of":[2],"temporal":[3,35,79],"information":[4,36],"is":[5,38,65],"important":[6,53],"for":[7,78,84],"natural":[8],"language":[9],"understanding.":[10],"It":[11,55],"involves":[12],"two":[13,52],"basic":[14],"tasks:":[15],"(1)":[16],"Understanding":[17,34],"time":[18],"expressions":[19],"that":[20,37,49,71],"are":[21],"mentioned":[22],"explicitly":[23],"in":[24],"text":[25],"(e.g.,":[26],"February":[27],"27,":[28],"1998":[29],"or":[30],"tomorrow),":[31],"and":[32,64,81],"(2)":[33],"conveyed":[39],"implicitly":[40],"via":[41],"relations.":[42],"This":[43],"paper":[44],"introduces":[45],"CogCompTime,":[46],"a":[47],"system":[48],"has":[50],"these":[51],"functionalities.":[54],"incorporates":[56],"the":[57],"most":[58],"recent":[59],"progress,":[60],"achieves":[61],"state-of-the-art":[62],"performance,":[63],"publicly":[66],"available.":[67],"1":[68],"We":[69],"believe":[70],"this":[72],"demo":[73],"will":[74],"provide":[75],"valuable":[76],"insight":[77],"understanding":[80],"be":[82],"useful":[83],"multiple":[85],"time-aware":[86],"applications.":[87]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":16},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":18},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":12}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}