{"id":"https://openalex.org/W2170883688","doi":"https://doi.org/10.18653/v1/d13-1006","title":"Animacy Detection with Voting Models","display_name":"Animacy Detection with Voting Models","publication_year":2013,"publication_date":"2013-01-01","ids":{"openalex":"https://openalex.org/W2170883688","doi":"https://doi.org/10.18653/v1/d13-1006","mag":"2170883688"},"language":"en","primary_location":{"id":"doi:10.18653/v1/d13-1006","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d13-1006","pdf_url":"https://aclanthology.org/D13-1006.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 2013 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://aclanthology.org/D13-1006.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021016566","display_name":"Joshua L. Moore","orcid":"https://orcid.org/0000-0003-2233-2527"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Joshua Moore","raw_affiliation_strings":["Cornell University, Ithaca, United States"],"affiliations":[{"raw_affiliation_string":"Cornell University, Ithaca, United States","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034285513","display_name":"Christopher J. C. Burges","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"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christopher J.C. Burges","raw_affiliation_strings":["Microsoft (United States), Redmond, United States"],"affiliations":[{"raw_affiliation_string":"Microsoft (United States), Redmond, United States","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051521472","display_name":"Erin Renshaw","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"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Erin Renshaw","raw_affiliation_strings":["Microsoft (United States), Redmond, United States"],"affiliations":[{"raw_affiliation_string":"Microsoft (United States), Redmond, United States","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066873932","display_name":"Wen-tau Yih","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"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wen-tau Yih","raw_affiliation_strings":["Microsoft (United States), Redmond, United States"],"affiliations":[{"raw_affiliation_string":"Microsoft (United States), Redmond, United States","institution_ids":["https://openalex.org/I1290206253"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5021016566"],"corresponding_institution_ids":["https://openalex.org/I205783295"],"apc_list":null,"apc_paid":null,"fwci":2.9654,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.9207496,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"55","last_page":"60"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","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/T10181","display_name":"Natural Language Processing Techniques","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/T10028","display_name":"Topic Modeling","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/T11550","display_name":"Text and Document Classification Technologies","score":0.9926999807357788,"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/animacy","display_name":"Animacy","score":0.9785745143890381},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.802313506603241},{"id":"https://openalex.org/keywords/voting","display_name":"Voting","score":0.7027323246002197},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6415739059448242},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.5845069885253906},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5709647536277771},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.5414661169052124},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33867835998535156},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.1035376787185669},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10092568397521973},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.06806206703186035}],"concepts":[{"id":"https://openalex.org/C2778589607","wikidata":"https://www.wikidata.org/wiki/Q1250335","display_name":"Animacy","level":2,"score":0.9785745143890381},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.802313506603241},{"id":"https://openalex.org/C520049643","wikidata":"https://www.wikidata.org/wiki/Q189760","display_name":"Voting","level":3,"score":0.7027323246002197},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6415739059448242},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.5845069885253906},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5709647536277771},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.5414661169052124},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33867835998535156},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.1035376787185669},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10092568397521973},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.06806206703186035},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"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/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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.18653/v1/d13-1006","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d13-1006","pdf_url":"https://aclanthology.org/D13-1006.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 2013 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.593.1699","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.593.1699","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://aclweb.org/anthology/D/D13/D13-1006.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.650.1412","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.650.1412","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://research.microsoft.com/en-us/um/people/cburges/papers/Animacy-EMNLP13.pdf","raw_type":"text"}],"best_oa_location":{"id":"doi:10.18653/v1/d13-1006","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d13-1006","pdf_url":"https://aclanthology.org/D13-1006.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 2013 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.41999998688697815}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2170883688.pdf","grobid_xml":"https://content.openalex.org/works/W2170883688.grobid-xml"},"referenced_works_count":17,"referenced_works":["https://openalex.org/W47199935","https://openalex.org/W173641964","https://openalex.org/W1497748330","https://openalex.org/W1503441655","https://openalex.org/W1514059210","https://openalex.org/W1526764246","https://openalex.org/W1534477342","https://openalex.org/W1933502375","https://openalex.org/W1970016449","https://openalex.org/W2038721957","https://openalex.org/W2097229755","https://openalex.org/W2125436846","https://openalex.org/W2147218300","https://openalex.org/W2149919984","https://openalex.org/W2173563973","https://openalex.org/W2189264409","https://openalex.org/W2729906263"],"related_works":["https://openalex.org/W2353480757","https://openalex.org/W3182050739","https://openalex.org/W4207016018","https://openalex.org/W2504389339","https://openalex.org/W4205148837","https://openalex.org/W1922010453","https://openalex.org/W2118874044","https://openalex.org/W4224442514","https://openalex.org/W2907034009","https://openalex.org/W2069464471"],"abstract_inverted_index":{"Animacy":[0],"detection":[1],"is":[2],"a":[3,14,22,30,40],"problem":[4],"whose":[5],"solution":[6],"has":[7],"been":[8],"shown":[9],"to":[10,60],"be":[11],"beneficial":[12],"for":[13,25],"number":[15,31],"of":[16,32,55,65],"syntactic":[17],"and":[18],"semantic":[19],"tasks.We":[20],"present":[21],"state-of-the-art":[23],"system":[24],"this":[26,45],"task":[27],"which":[28],"uses":[29],"simple":[33],"classifiers":[34],"with":[35],"heterogeneous":[36],"data":[37],"sources":[38,64],"in":[39],"voting":[41],"scheme.We":[42],"show":[43],"how":[44],"framework":[46],"can":[47],"give":[48],"us":[49,59],"direct":[50],"insight":[51],"into":[52],"the":[53,56],"behavior":[54],"system,":[57],"allowing":[58],"more":[61],"easily":[62],"diagnose":[63],"error.":[66]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":3}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
