{"id":"https://openalex.org/W2251020273","doi":"https://doi.org/10.3115/v1/w14-2910","title":"Evaluation for Partial Event Coreference","display_name":"Evaluation for Partial Event Coreference","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2251020273","doi":"https://doi.org/10.3115/v1/w14-2910","mag":"2251020273"},"language":"en","primary_location":{"id":"doi:10.3115/v1/w14-2910","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/w14-2910","pdf_url":"https://aclanthology.org/W14-2910.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 Second Workshop on EVENTS: Definition, Detection, Coreference, and Representation","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/W14-2910.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086086427","display_name":"Jun Araki","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":"Jun Araki","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/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"]}]},{"author_position":"last","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"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5086086427"],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":1.2686,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.86107769,"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":"68","last_page":"76"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9955999851226807,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9955999851226807,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9854999780654907,"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":0.982699990272522,"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/coreference","display_name":"Coreference","score":0.907926619052887},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7913610339164734},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.7646963596343994},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.7607454061508179},{"id":"https://openalex.org/keywords/hierarchy","display_name":"Hierarchy","score":0.687455415725708},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.6402161717414856},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6249904632568359},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5475472211837769},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5390647053718567},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.5334771871566772},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5220884680747986},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.49247369170188904},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4653184413909912},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.445676326751709},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.4455472230911255},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4194602966308594},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3263900876045227},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.164986252784729},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.11408239603042603},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1016092598438263},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.09947335720062256}],"concepts":[{"id":"https://openalex.org/C28076734","wikidata":"https://www.wikidata.org/wiki/Q63087","display_name":"Coreference","level":3,"score":0.907926619052887},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7913610339164734},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.7646963596343994},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.7607454061508179},{"id":"https://openalex.org/C31170391","wikidata":"https://www.wikidata.org/wiki/Q188619","display_name":"Hierarchy","level":2,"score":0.687455415725708},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.6402161717414856},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6249904632568359},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5475472211837769},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5390647053718567},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.5334771871566772},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5220884680747986},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.49247369170188904},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4653184413909912},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.445676326751709},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.4455472230911255},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4194602966308594},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3263900876045227},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.164986252784729},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.11408239603042603},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1016092598438263},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.09947335720062256},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"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},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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},{"id":"https://openalex.org/C34447519","wikidata":"https://www.wikidata.org/wiki/Q179522","display_name":"Market economy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3115/v1/w14-2910","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/w14-2910","pdf_url":"https://aclanthology.org/W14-2910.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 Second Workshop on EVENTS: Definition, Detection, Coreference, and Representation","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.650.7430","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.650.7430","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://junaraki.net/publications/events2014-coref-eval.pdf","raw_type":"text"}],"best_oa_location":{"id":"doi:10.3115/v1/w14-2910","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/w14-2910","pdf_url":"https://aclanthology.org/W14-2910.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 Second Workshop on EVENTS: Definition, Detection, Coreference, and Representation","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","score":0.5799999833106995,"display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2251020273.pdf","grobid_xml":"https://content.openalex.org/works/W2251020273.grobid-xml"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W118383491","https://openalex.org/W151785663","https://openalex.org/W1514986335","https://openalex.org/W1605903931","https://openalex.org/W1965693266","https://openalex.org/W1975009259","https://openalex.org/W1976373002","https://openalex.org/W1978478796","https://openalex.org/W1987486061","https://openalex.org/W2000900121","https://openalex.org/W2003889154","https://openalex.org/W2022686678","https://openalex.org/W2049461910","https://openalex.org/W2050273484","https://openalex.org/W2096335387","https://openalex.org/W2098345921","https://openalex.org/W2101268022","https://openalex.org/W2112729630","https://openalex.org/W2113078760","https://openalex.org/W2116658707","https://openalex.org/W2124700572","https://openalex.org/W2125313055","https://openalex.org/W2126704455","https://openalex.org/W2127713198","https://openalex.org/W2128996912","https://openalex.org/W2151295812","https://openalex.org/W2157944021","https://openalex.org/W2160583993","https://openalex.org/W2167140078","https://openalex.org/W2171643895","https://openalex.org/W2250335667","https://openalex.org/W2335559472","https://openalex.org/W2949853298","https://openalex.org/W4253336001"],"related_works":["https://openalex.org/W2139373276","https://openalex.org/W2227889443","https://openalex.org/W2319693127","https://openalex.org/W308539617","https://openalex.org/W2072263576","https://openalex.org/W2474567666","https://openalex.org/W1940044583","https://openalex.org/W2043026651","https://openalex.org/W2806903871","https://openalex.org/W4320802053"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"an":[3],"evaluation":[4,47],"scheme":[5],"to":[6,44,57],"measure":[7,58],"the":[8,38,46,51,59,68],"performance":[9],"of":[10,33,40],"a":[11,31,54,83],"system":[12,26,60],"that":[13,24,72],"detects":[14],"hierarchical":[15],"event":[16,19,42],"structure":[17],"for":[18,53],"coreference":[20],"resolution.":[21],"We":[22,49,62],"show":[23,71],"each":[25],"output":[27],"is":[28],"represented":[29],"as":[30],"forest":[32],"unordered":[34],"trees,":[35],"and":[36,70,77],"introduce":[37],"notion":[39],"conceptual":[41],"hierarchy":[43],"simplify":[45],"process.":[48],"enumerate":[50],"desiderata":[52],"similarity":[55],"metric":[56,84],"performance.":[61],"examine":[63],"three":[64],"metrics":[65,73],"along":[66],"with":[67],"desiderata,":[69],"extended":[74],"from":[75],"MUC":[76],"BLANC":[78],"are":[79],"more":[80],"adequate":[81],"than":[82],"based":[85],"on":[86],"Simple":[87],"Tree":[88],"Matching.":[89]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
