{"id":"https://openalex.org/W2251795825","doi":"https://doi.org/10.3115/v1/d14-1089","title":"Analysing recall loss in named entity slot filling","display_name":"Analysing recall loss in named entity slot filling","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2251795825","doi":"https://doi.org/10.3115/v1/d14-1089","mag":"2251795825"},"language":"en","primary_location":{"id":"doi:10.3115/v1/d14-1089","is_oa":false,"landing_page_url":"https://doi.org/10.3115/v1/d14-1089","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5010806581","display_name":"Glen Pink","orcid":null},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Glen Pink","raw_affiliation_strings":["University of Sydney"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Sydney","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079518059","display_name":"Joel Nothman","orcid":"https://orcid.org/0000-0003-1497-3842"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Joel Nothman","raw_affiliation_strings":["University of Sydney"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Sydney","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024711700","display_name":"James Curran","orcid":"https://orcid.org/0000-0001-9637-0484"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"James R. Curran","raw_affiliation_strings":["University of Sydney"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Sydney","institution_ids":["https://openalex.org/I129604602"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I129604602"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"820","last_page":"830"},"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":0.9997000098228455,"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/T11719","display_name":"Data Quality and Management","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/recall","display_name":"Recall","score":0.8180474042892456},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.7253057956695557},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6834046244621277},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.6128388047218323},{"id":"https://openalex.org/keywords/coreference","display_name":"Coreference","score":0.5498969554901123},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5196589231491089},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4893195331096649},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.43660375475883484},{"id":"https://openalex.org/keywords/named-entity","display_name":"Named entity","score":0.4349895417690277},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.42099708318710327},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.373968243598938},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.34584367275238037},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.15035393834114075},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14024272561073303},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.09873014688491821},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.0812578797340393}],"concepts":[{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.8180474042892456},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.7253057956695557},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6834046244621277},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.6128388047218323},{"id":"https://openalex.org/C28076734","wikidata":"https://www.wikidata.org/wiki/Q63087","display_name":"Coreference","level":3,"score":0.5498969554901123},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5196589231491089},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4893195331096649},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.43660375475883484},{"id":"https://openalex.org/C2777889803","wikidata":"https://www.wikidata.org/wiki/Q25047676","display_name":"Named entity","level":2,"score":0.4349895417690277},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.42099708318710327},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.373968243598938},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.34584367275238037},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.15035393834114075},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14024272561073303},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.09873014688491821},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.0812578797340393},{"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"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/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3115/v1/d14-1089","is_oa":false,"landing_page_url":"https://doi.org/10.3115/v1/d14-1089","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.683.5610","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.683.5610","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://emnlp2014.org/papers/pdf/EMNLP2014089.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.689.4455","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.689.4455","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/D14/D14-1089.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.5699999928474426}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W174427690","https://openalex.org/W1489949474","https://openalex.org/W1493490255","https://openalex.org/W1512387364","https://openalex.org/W1852412531","https://openalex.org/W2038742116","https://openalex.org/W2053238041","https://openalex.org/W2094061585","https://openalex.org/W2096765155","https://openalex.org/W2097606805","https://openalex.org/W2103931177","https://openalex.org/W2103982646","https://openalex.org/W2107598941","https://openalex.org/W2119465010","https://openalex.org/W2128851024","https://openalex.org/W2129657639","https://openalex.org/W2129842875","https://openalex.org/W2132679783","https://openalex.org/W2148932298","https://openalex.org/W2167187514","https://openalex.org/W2181629536","https://openalex.org/W2250317502","https://openalex.org/W2251906665","https://openalex.org/W2252154718","https://openalex.org/W2400672603","https://openalex.org/W2408490492","https://openalex.org/W2729906263","https://openalex.org/W2916086436","https://openalex.org/W2963793321"],"related_works":["https://openalex.org/W2139373276","https://openalex.org/W2227889443","https://openalex.org/W2358294942","https://openalex.org/W2963217253","https://openalex.org/W4367460280","https://openalex.org/W190320470","https://openalex.org/W2964120642","https://openalex.org/W2379250586","https://openalex.org/W2114838678","https://openalex.org/W2359367771"],"abstract_inverted_index":{"State-of-the-art":[0],"fact":[1],"extraction":[2],"is":[3,42,118],"heavily":[4],"constrained":[5],"by":[6,10,25,106,127],"recall,":[7],"as":[8,35,44],"demonstrated":[9],"recent":[11],"performance":[12],"in":[13,58,73,110],"TAC":[14],"Slot":[15],"Filling.":[16],"We":[17,61],"isolate":[18],"this":[19,122],"recall":[20,71,89],"loss":[21,72],"for":[22],"NE":[23,77],"slots":[24],"systematically":[26],"analysing":[27],"each":[28],"stage":[29],"of":[30,66,70,99],"the":[31,82],"slot":[32,74,100],"filling":[33],"pipeline":[34],"a":[36,87],"filter":[37],"over":[38],"correct":[39,112],"answers.":[40],"Recall":[41],"critical":[43],"candidates":[45],"never":[46,49],"generated":[47],"can":[48,54,123],"be":[50,56,103,124],"recovered,":[51],"whereas":[52],"precision":[53],"always":[55],"increased":[57],"downstream":[59],"processing.":[60],"provide":[62],"precise,":[63],"empirical":[64],"confirma-tion":[65],"previously":[67],"hypothesised":[68],"sources":[69],"filling.":[75],"While":[76],"type":[78],"constraints":[79],"substantially":[80],"reduce":[81],"search":[83],"space":[84],"with":[85],"only":[86],"minor":[88],"penalty,":[90],"we":[91],"find":[92],"that":[93],"10":[94],"%":[95,98],"to":[96],"39":[97],"fills":[101],"will":[102],"entirely":[104],"ignored":[105],"most":[107],"systems.":[108],"One":[109],"six":[111],"answers":[113],"are":[114],"lost":[115],"if":[116],"coreference":[117],"not":[119],"used,":[120],"but":[121],"mostly":[125],"retained":[126],"simple":[128],"name":[129],"matching":[130],"rules.":[131]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}