{"id":"https://openalex.org/W2890515900","doi":"https://doi.org/10.18653/v1/d18-1154","title":"Automatic Event Salience Identification","display_name":"Automatic Event Salience Identification","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2890515900","doi":"https://doi.org/10.18653/v1/d18-1154","mag":"2890515900"},"language":"en","primary_location":{"id":"doi:10.18653/v1/d18-1154","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d18-1154","pdf_url":"https://www.aclweb.org/anthology/D18-1154.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","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/D18-1154.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5029648803","display_name":"Zhengzhong Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Zhengzhong Liu","raw_affiliation_strings":["Language Technologies Institute Carnegie Mellon University Pittsburgh, PA 15213, USA"],"affiliations":[{"raw_affiliation_string":"Language Technologies Institute Carnegie Mellon University Pittsburgh, PA 15213, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102363883","display_name":"Chenyan Xiong","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chenyan Xiong","raw_affiliation_strings":["Language Technologies Institute Carnegie Mellon University Pittsburgh, PA 15213, USA"],"affiliations":[{"raw_affiliation_string":"Language Technologies Institute Carnegie Mellon University Pittsburgh, PA 15213, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052956256","display_name":"Teruko Mitamura","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Teruko Mitamura","raw_affiliation_strings":["Language Technologies Institute Carnegie Mellon University Pittsburgh, PA 15213, USA"],"affiliations":[{"raw_affiliation_string":"Language Technologies Institute Carnegie Mellon University Pittsburgh, PA 15213, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060225743","display_name":"Eduard Hovy","orcid":"https://orcid.org/0000-0002-3270-7903"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Eduard Hovy","raw_affiliation_strings":["Language Technologies Institute Carnegie Mellon University Pittsburgh, PA 15213, USA"],"affiliations":[{"raw_affiliation_string":"Language Technologies Institute Carnegie Mellon University Pittsburgh, PA 15213, USA","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5029648803"],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":2.3691,"has_fulltext":true,"cited_by_count":18,"citation_normalized_percentile":{"value":0.91358886,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1226","last_page":"1236"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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/T10028","display_name":"Topic Modeling","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/T10181","display_name":"Natural Language Processing Techniques","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/T13629","display_name":"Text Readability and Simplification","score":0.9958000183105469,"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/salience","display_name":"Salience (neuroscience)","score":0.8573846817016602},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6334517002105713},{"id":"https://openalex.org/keywords/cohesion","display_name":"Cohesion (chemistry)","score":0.5483185052871704},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.525043249130249},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4428447484970093},{"id":"https://openalex.org/keywords/scripting-language","display_name":"Scripting language","score":0.41752147674560547},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.3830907642841339},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.35115742683410645}],"concepts":[{"id":"https://openalex.org/C108154423","wikidata":"https://www.wikidata.org/wiki/Q1469792","display_name":"Salience (neuroscience)","level":2,"score":0.8573846817016602},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6334517002105713},{"id":"https://openalex.org/C104054115","wikidata":"https://www.wikidata.org/wiki/Q216828","display_name":"Cohesion (chemistry)","level":2,"score":0.5483185052871704},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.525043249130249},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4428447484970093},{"id":"https://openalex.org/C61423126","wikidata":"https://www.wikidata.org/wiki/Q187432","display_name":"Scripting language","level":2,"score":0.41752147674560547},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.3830907642841339},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.35115742683410645},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/d18-1154","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d18-1154","pdf_url":"https://www.aclweb.org/anthology/D18-1154.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","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/d18-1154","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d18-1154","pdf_url":"https://www.aclweb.org/anthology/D18-1154.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","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.699999988079071,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G4713059963","display_name":null,"funder_award_id":"FA8750","funder_id":"https://openalex.org/F4320332180","funder_display_name":"Defense Advanced Research Projects Agency"},{"id":"https://openalex.org/G4766596178","display_name":"III: Small: Using Knowledge Resources to Improve Information Retrieval","funder_award_id":"1422676","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5523903616","display_name":null,"funder_award_id":"IIS-1422676","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G740863221","display_name":null,"funder_award_id":"FA8750-18-2-0018","funder_id":"https://openalex.org/F4320332180","funder_display_name":"Defense Advanced Research Projects Agency"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2890515900.pdf","grobid_xml":"https://content.openalex.org/works/W2890515900.grobid-xml"},"referenced_works_count":51,"referenced_works":["https://openalex.org/W40273907","https://openalex.org/W63003940","https://openalex.org/W123366752","https://openalex.org/W1522301498","https://openalex.org/W1529628505","https://openalex.org/W1710422233","https://openalex.org/W1811279891","https://openalex.org/W1973435495","https://openalex.org/W2026789015","https://openalex.org/W2053154970","https://openalex.org/W2098844768","https://openalex.org/W2115792525","https://openalex.org/W2117226699","https://openalex.org/W2117391079","https://openalex.org/W2123142779","https://openalex.org/W2123442489","https://openalex.org/W2140676672","https://openalex.org/W2151295812","https://openalex.org/W2153579005","https://openalex.org/W2159426623","https://openalex.org/W2165962657","https://openalex.org/W2169943035","https://openalex.org/W2173779128","https://openalex.org/W2185599447","https://openalex.org/W2250487771","https://openalex.org/W2250575108","https://openalex.org/W2250818300","https://openalex.org/W2251471447","https://openalex.org/W2251906107","https://openalex.org/W2252089544","https://openalex.org/W2252139350","https://openalex.org/W2566266660","https://openalex.org/W2578883687","https://openalex.org/W2648699835","https://openalex.org/W2741200275","https://openalex.org/W2741719406","https://openalex.org/W2796924018","https://openalex.org/W2803693270","https://openalex.org/W2806238373","https://openalex.org/W2917296092","https://openalex.org/W2949695381","https://openalex.org/W2962977085","https://openalex.org/W2963498218","https://openalex.org/W2964121744","https://openalex.org/W3028765791","https://openalex.org/W3101913037","https://openalex.org/W3102654612","https://openalex.org/W3158986179","https://openalex.org/W4213168938","https://openalex.org/W4294170691","https://openalex.org/W4298053720"],"related_works":["https://openalex.org/W2046765700","https://openalex.org/W4384345686","https://openalex.org/W2357937784","https://openalex.org/W2547618384","https://openalex.org/W4394391052","https://openalex.org/W2145834781","https://openalex.org/W4383427356","https://openalex.org/W3108188144","https://openalex.org/W2061340872","https://openalex.org/W2079783661"],"abstract_inverted_index":{"Identifying":[0],"the":[1,35,92,102],"salience":[2,42,58,86,121],"(i.e.":[3],"importance)":[4],"of":[5],"discourse":[6,50,64,78,123],"units":[7],"is":[8,54,68],"an":[9],"important":[10,18],"task":[11,38],"in":[12,20],"language":[13],"understanding.":[14],"While":[15],"events":[16],"play":[17],"roles":[19],"text":[21],"documents,":[22],"little":[23],"research":[24],"exists":[25],"on":[26,46,81],"analyzing":[27],"their":[28],"saliency":[29],"status.":[30],"This":[31],"paper":[32],"empirically":[33],"studies":[34],"Event":[36],"Salience":[37],"and":[39,49,122,128],"proposes":[40],"two":[41],"detection":[43],"models":[44],"based":[45,57,104],"content":[47],"similarities":[48,62],"relations.":[51],"The":[52,66],"first":[53],"a":[55,69,107],"feature":[56,103],"model":[59,71,99,116],"that":[60,72,113],"incorporates":[61],"among":[63],"units.":[65,79],"second":[67],"neural":[70,98,115],"captures":[73,117],"more":[74],"complex":[75],"relations":[76,125],"between":[77,120],"Tested":[80],"our":[82,97,114],"new":[83],"largescale":[84],"event":[85],"corpus,":[87],"both":[88],"methods":[89],"significantly":[90],"outperform":[91],"strong":[93],"frequency":[94],"baseline,":[95],"while":[96],"further":[100],"improves":[101],"one":[105],"by":[106],"large":[108],"margin.":[109],"Our":[110],"analyses":[111],"demonstrate":[112],"interesting":[118],"connections":[119],"unit":[124],"(e.g.,":[126],"scripts":[127],"frame":[129],"structures).":[130]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":4}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
