{"id":"https://openalex.org/W2021698997","doi":"https://doi.org/10.1080/08839510151063235","title":"Towards a more consistent and comprehensive evaluation of anaphora resolution algorithms and systems","display_name":"Towards a more consistent and comprehensive evaluation of anaphora resolution algorithms and systems","publication_year":2001,"publication_date":"2001-03-01","ids":{"openalex":"https://openalex.org/W2021698997","doi":"https://doi.org/10.1080/08839510151063235","mag":"2021698997"},"language":"en","primary_location":{"id":"doi:10.1080/08839510151063235","is_oa":true,"landing_page_url":"https://doi.org/10.1080/08839510151063235","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/08839510151063235?download=true","source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://www.tandfonline.com/doi/pdf/10.1080/08839510151063235?download=true","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5023859439","display_name":"Ruslan Mitkov","orcid":"https://orcid.org/0000-0003-2522-066X"},"institutions":[{"id":"https://openalex.org/I119664326","display_name":"University of Wolverhampton","ror":"https://ror.org/01k2y1055","country_code":"GB","type":"education","lineage":["https://openalex.org/I119664326"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Ruslan Mitkov","raw_affiliation_strings":["\n School of Humanities, Languages and Social Sciences, University of Wolverhampton, UK","School of Humanities, Languages and Social Sciences, University of Wolverhampton, UK"],"affiliations":[{"raw_affiliation_string":"\n School of Humanities, Languages and Social Sciences, University of Wolverhampton, UK","institution_ids":["https://openalex.org/I119664326"]},{"raw_affiliation_string":"School of Humanities, Languages and Social Sciences, University of Wolverhampton, UK","institution_ids":["https://openalex.org/I119664326"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5023859439"],"corresponding_institution_ids":["https://openalex.org/I119664326"],"apc_list":{"value":2195,"currency":"USD","value_usd":2195},"apc_paid":null,"fwci":6.3264,"has_fulltext":true,"cited_by_count":39,"citation_normalized_percentile":{"value":0.9610956,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"15","issue":"3","first_page":"253","last_page":"276"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","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/T10181","display_name":"Natural Language Processing Techniques","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/T10028","display_name":"Topic Modeling","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/T12031","display_name":"Speech and dialogue systems","score":0.9988999962806702,"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/anaphora","display_name":"Anaphora (linguistics)","score":0.9532585144042969},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8533408641815186},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.7881250381469727},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5448259711265564},{"id":"https://openalex.org/keywords/imperfect","display_name":"Imperfect","score":0.4981405735015869},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.48147740960121155},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47091910243034363},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.46178632974624634},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3242015838623047},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.15508946776390076}],"concepts":[{"id":"https://openalex.org/C2781449363","wikidata":"https://www.wikidata.org/wiki/Q156751","display_name":"Anaphora (linguistics)","level":3,"score":0.9532585144042969},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8533408641815186},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.7881250381469727},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5448259711265564},{"id":"https://openalex.org/C2780310539","wikidata":"https://www.wikidata.org/wiki/Q12547192","display_name":"Imperfect","level":2,"score":0.4981405735015869},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.48147740960121155},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47091910243034363},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.46178632974624634},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3242015838623047},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.15508946776390076},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/08839510151063235","is_oa":true,"landing_page_url":"https://doi.org/10.1080/08839510151063235","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/08839510151063235?download=true","source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1080/08839510151063235","is_oa":true,"landing_page_url":"https://doi.org/10.1080/08839510151063235","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/08839510151063235?download=true","source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7200000286102295,"display_name":"No poverty","id":"https://metadata.un.org/sdg/1"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2021698997.pdf","grobid_xml":"https://content.openalex.org/works/W2021698997.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W3195375","https://openalex.org/W138910040","https://openalex.org/W147866370","https://openalex.org/W186897643","https://openalex.org/W189276277","https://openalex.org/W198983373","https://openalex.org/W1496230136","https://openalex.org/W1500929702","https://openalex.org/W1522911467","https://openalex.org/W1657765689","https://openalex.org/W1971725016","https://openalex.org/W1974874933","https://openalex.org/W1993423805","https://openalex.org/W2063790016","https://openalex.org/W2095094844","https://openalex.org/W2095487819","https://openalex.org/W2097437086","https://openalex.org/W2101413321","https://openalex.org/W2127071136","https://openalex.org/W2131554698","https://openalex.org/W2139243841","https://openalex.org/W2145211186","https://openalex.org/W2217657468","https://openalex.org/W2340581863","https://openalex.org/W2950711006","https://openalex.org/W6605660642","https://openalex.org/W6674317760","https://openalex.org/W6688593919","https://openalex.org/W6703853315","https://openalex.org/W6807040862"],"related_works":["https://openalex.org/W1601379694","https://openalex.org/W1966254356","https://openalex.org/W1528321095","https://openalex.org/W2141510042","https://openalex.org/W2091943195","https://openalex.org/W2374250903","https://openalex.org/W4248392126","https://openalex.org/W2250257506","https://openalex.org/W2021698997","https://openalex.org/W2339319059"],"abstract_inverted_index":{"T":[0],"he":[1,35],"article":[2,36],"argues":[3],"that":[4,53],"recall":[5],"and":[6,18,29,44,133],"precision":[7],"are":[8],"imperfect":[9],"as":[10,125],"measures":[11,43],"for":[12,24,30,46,95,140],"robust":[13],"anaphor":[14,47],"a":[15,21,39,48,69,91,108],"resolution":[16,26,32,79,97],"algorithms,":[17],"proposes":[19,38],"instead":[20],"success":[22],"rate":[23],"anaphora":[25,31,78,96,114],"algorithm":[27,80],"s":[28,81],"systems":[33],"separately.T":[34],"also":[37],"package":[40],"of":[41,74,77,90,107,110],"evaluation":[42,93],"tasks":[45,57],"resolution:":[49],"it":[50],"is":[51,98],"believed":[52],"these":[54],"newly":[55],"added":[56],"which":[58],"have":[59,103],"been":[60],"carried":[61],"out":[62],"on":[63,87,113],"Mitkov's":[64],"(1998)":[65],"knowledge-poor":[66],"approach,":[67],"provide":[68],"better,":[70],"more":[71],"comprehensive":[72],"picture":[73],"the":[75,84,88,105,137],"performance":[76],"or":[82],"systems.Finally,":[83],"ongoing":[85],"work":[86],"development":[89],"consistent":[92],"environment":[94],"outlined.The":[99],"last":[100],"few":[101],"years":[102],"seen":[104],"emergence":[106],"number":[109],"new":[111],"projects":[112],"resolution,":[115],"due":[116],"to":[117],"its":[118],"importance":[119],"in":[120],"key":[121],"NLP":[122],"applications":[123],"such":[124],"natural":[126],"language":[127],"interfaces,":[128],"machine":[129],"translation,":[130],"automatic":[131],"abstracting,":[132],"information":[134],"extraction.In":[135],"particular,":[136],"recent":[138],"search":[139],"practical":[141],"robust,":[142],"corpus-based":[143],"approaches":[144],"has":[145],"produced":[146],"promising":[147],"solutions":[148],"(Baldwin,":[149],"1997;":[150]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}