{"id":"https://openalex.org/W2251612544","doi":"https://doi.org/10.3115/v1/e14-1005","title":"A Joint Model for Quotation Attribution and Coreference Resolution","display_name":"A Joint Model for Quotation Attribution and Coreference Resolution","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2251612544","doi":"https://doi.org/10.3115/v1/e14-1005","mag":"2251612544"},"language":"en","primary_location":{"id":"doi:10.3115/v1/e14-1005","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/e14-1005","pdf_url":"https://aclanthology.org/E14-1005.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 14th Conference of the European Chapter of the Association for Computational Linguistics","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/E14-1005.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100850797","display_name":"Mariana S. C. Almeida","orcid":"https://orcid.org/0000-0003-3868-3874"},"institutions":[{"id":"https://openalex.org/I4210120471","display_name":"Instituto de Telecomunica\u00e7\u00f5es","ror":"https://ror.org/02ht4fk33","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I4210120471"]},{"id":"https://openalex.org/I4387152517","display_name":"Instituto Superior T\u00e9cnico","ror":"https://ror.org/03db2by73","country_code":null,"type":"education","lineage":["https://openalex.org/I141596103","https://openalex.org/I4387152517"]}],"countries":["PT"],"is_corresponding":true,"raw_author_name":"Mariana S. C. Almeida","raw_affiliation_strings":["Instituto de Telecomunicac \u00b8\u00f5es, Instituto Superior T\u00e9cnico, 1049-001 Lisboa, Portugal"],"affiliations":[{"raw_affiliation_string":"Instituto de Telecomunicac \u00b8\u00f5es, Instituto Superior T\u00e9cnico, 1049-001 Lisboa, Portugal","institution_ids":["https://openalex.org/I4210120471","https://openalex.org/I4387152517"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001353066","display_name":"Miguel Almeida","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Miguel B. Almeida","raw_affiliation_strings":["o , 1000-123 Lisboa, Portugal"],"affiliations":[{"raw_affiliation_string":"o , 1000-123 Lisboa, Portugal","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051693368","display_name":"Andr\u00e9 F. T. Martins","orcid":"https://orcid.org/0000-0001-8282-625X"},"institutions":[{"id":"https://openalex.org/I4387152517","display_name":"Instituto Superior T\u00e9cnico","ror":"https://ror.org/03db2by73","country_code":null,"type":"education","lineage":["https://openalex.org/I141596103","https://openalex.org/I4387152517"]},{"id":"https://openalex.org/I4210120471","display_name":"Instituto de Telecomunica\u00e7\u00f5es","ror":"https://ror.org/02ht4fk33","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I4210120471"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Andr\u00e9 F. T. Martins","raw_affiliation_strings":["Instituto de Telecomunicac \u00b8\u00f5es, Instituto Superior T\u00e9cnico, 1049-001 Lisboa, Portugal"],"affiliations":[{"raw_affiliation_string":"Instituto de Telecomunicac \u00b8\u00f5es, Instituto Superior T\u00e9cnico, 1049-001 Lisboa, Portugal","institution_ids":["https://openalex.org/I4210120471","https://openalex.org/I4387152517"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100850797"],"corresponding_institution_ids":["https://openalex.org/I4210120471","https://openalex.org/I4387152517"],"apc_list":null,"apc_paid":null,"fwci":2.9641,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.92589244,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"39","last_page":"48"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10028","display_name":"Topic Modeling","score":0.9998000264167786,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/coreference","display_name":"Coreference","score":0.9594328999519348},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8552172780036926},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.7587007880210876},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.646224319934845},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6458871960639954},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.6236130595207214},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6184968948364258},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.5961266756057739},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5926331877708435},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5828542113304138},{"id":"https://openalex.org/keywords/authorship-attribution","display_name":"Authorship attribution","score":0.546233057975769},{"id":"https://openalex.org/keywords/attribution","display_name":"Attribution","score":0.4619005620479584},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.4193279445171356},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.41872477531433105},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4092883765697479},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32708221673965454},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.07329913973808289}],"concepts":[{"id":"https://openalex.org/C28076734","wikidata":"https://www.wikidata.org/wiki/Q63087","display_name":"Coreference","level":3,"score":0.9594328999519348},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8552172780036926},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.7587007880210876},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.646224319934845},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6458871960639954},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.6236130595207214},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6184968948364258},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.5961266756057739},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5926331877708435},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5828542113304138},{"id":"https://openalex.org/C3020202489","wikidata":"https://www.wikidata.org/wiki/Q2032038","display_name":"Authorship attribution","level":2,"score":0.546233057975769},{"id":"https://openalex.org/C143299363","wikidata":"https://www.wikidata.org/wiki/Q900584","display_name":"Attribution","level":2,"score":0.4619005620479584},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.4193279445171356},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.41872477531433105},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4092883765697479},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32708221673965454},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.07329913973808289},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"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/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3115/v1/e14-1005","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/e14-1005","pdf_url":"https://aclanthology.org/E14-1005.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 14th Conference of the European Chapter of the Association for Computational Linguistics","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.3115/v1/e14-1005","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/e14-1005","pdf_url":"https://aclanthology.org/E14-1005.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 14th Conference of the European Chapter of the Association for Computational Linguistics","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.5899999737739563,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G5348594205","display_name":null,"funder_award_id":"FEDER","funder_id":"https://openalex.org/F4320334779","funder_display_name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia"},{"id":"https://openalex.org/G6299983296","display_name":null,"funder_award_id":"PTDC/","funder_id":"https://openalex.org/F4320334779","funder_display_name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia"}],"funders":[{"id":"https://openalex.org/F4320334779","display_name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia","ror":"https://ror.org/00snfqn58"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2251612544.pdf","grobid_xml":"https://content.openalex.org/works/W2251612544.grobid-xml"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W204284357","https://openalex.org/W275890445","https://openalex.org/W1497300277","https://openalex.org/W1505244248","https://openalex.org/W1505422262","https://openalex.org/W1519756925","https://openalex.org/W1547546052","https://openalex.org/W1596410906","https://openalex.org/W1612381393","https://openalex.org/W1789782362","https://openalex.org/W1899684160","https://openalex.org/W2050273484","https://openalex.org/W2067982155","https://openalex.org/W2099115159","https://openalex.org/W2101268022","https://openalex.org/W2128996912","https://openalex.org/W2129657639","https://openalex.org/W2130848543","https://openalex.org/W2131698806","https://openalex.org/W2134275125","https://openalex.org/W2142603219","https://openalex.org/W2147706904","https://openalex.org/W2149956050","https://openalex.org/W2151209496","https://openalex.org/W2154862802","https://openalex.org/W2155069789","https://openalex.org/W2160218441","https://openalex.org/W2164455818","https://openalex.org/W2166957049","https://openalex.org/W2167140078","https://openalex.org/W2251035762","https://openalex.org/W2251649831","https://openalex.org/W2252239149","https://openalex.org/W2307540384","https://openalex.org/W2401705518","https://openalex.org/W2500106575","https://openalex.org/W3009009611","https://openalex.org/W3098809735","https://openalex.org/W4214766862","https://openalex.org/W4285719527","https://openalex.org/W4295847212"],"related_works":["https://openalex.org/W2139373276","https://openalex.org/W2227889443","https://openalex.org/W1509033667","https://openalex.org/W4385749782","https://openalex.org/W3167631113","https://openalex.org/W2251288228","https://openalex.org/W3213969421","https://openalex.org/W4205570701","https://openalex.org/W2975078241","https://openalex.org/W2623063325"],"abstract_inverted_index":{"We":[0],"address":[1],"the":[2,45,52,80],"problem":[3],"of":[4],"automatically":[5],"attributing":[6],"quotations":[7],"to":[8,60],"speakers,":[9],"which":[10],"has":[11],"great":[12],"relevance":[13],"in":[14,54],"text":[15],"mining":[16],"and":[17,74],"media":[18],"monitoring":[19],"applications.While":[20],"current":[21],"systems":[22],"report":[23],"high":[24],"accuracies":[25],"for":[26,36,70,87],"this":[27,55,63],"task,":[28],"they":[29],"either":[30],"work":[31],"at":[32],"mentionlevel":[33],"(getting":[34],"credit":[35],"detecting":[37],"uninformative":[38],"mentions":[39,47],"such":[40],"as":[41],"pronouns),":[42],"or":[43],"assume":[44],"coreferent":[46],"have":[48],"been":[49],"detected":[50],"beforehand;":[51],"inaccuracies":[53],"preprocessing":[56],"step":[57],"may":[58],"lead":[59],"error":[61],"propagation.In":[62],"paper,":[64],"we":[65],"introduce":[66],"a":[67],"joint":[68],"model":[69],"entity-level":[71],"quotation":[72],"attribution":[73,88],"coreference":[75],"resolution,":[76],"exploiting":[77],"correlations":[78],"between":[79],"two":[81],"tasks.We":[82],"design":[83],"an":[84],"evaluation":[85],"metric":[86],"that":[89,97],"captures":[90],"all":[91],"speakers'":[92],"mentions.We":[93],"present":[94],"results":[95],"showing":[96],"both":[98],"tasks":[99],"benefit":[100],"from":[101],"being":[102],"treated":[103],"jointly.":[104]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":5}],"updated_date":"2026-03-09T08:58:05.943551","created_date":"2025-10-10T00:00:00"}