{"id":"https://openalex.org/W2109442688","doi":"https://doi.org/10.3115/1219840.1219891","title":"Improving name tagging by reference resolution and relation detection","display_name":"Improving name tagging by reference resolution and relation detection","publication_year":2005,"publication_date":"2005-01-01","ids":{"openalex":"https://openalex.org/W2109442688","doi":"https://doi.org/10.3115/1219840.1219891","mag":"2109442688"},"language":"en","primary_location":{"id":"doi:10.3115/1219840.1219891","is_oa":true,"landing_page_url":"https://doi.org/10.3115/1219840.1219891","pdf_url":"https://dl.acm.org/doi/pdf/10.3115/1219840.1219891","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics  - ACL '05","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.3115/1219840.1219891","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5075033889","display_name":"Heng Ji","orcid":"https://orcid.org/0000-0002-0464-7966"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Heng Ji","raw_affiliation_strings":["New York University, New York, NY","New York Univ, New York, NY,"],"affiliations":[{"raw_affiliation_string":"New York University, New York, NY","institution_ids":["https://openalex.org/I57206974"]},{"raw_affiliation_string":"New York Univ, New York, NY,","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004580149","display_name":"Ralph Grishman","orcid":null},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ralph Grishman","raw_affiliation_strings":["New York University, New York, NY","New York Univ, New York, NY,"],"affiliations":[{"raw_affiliation_string":"New York University, New York, NY","institution_ids":["https://openalex.org/I57206974"]},{"raw_affiliation_string":"New York Univ, New York, NY,","institution_ids":["https://openalex.org/I57206974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5075033889"],"corresponding_institution_ids":["https://openalex.org/I57206974"],"apc_list":null,"apc_paid":null,"fwci":8.228,"has_fulltext":true,"cited_by_count":36,"citation_normalized_percentile":{"value":0.97443586,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"411","last_page":"418"},"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":0.9995999932289124,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9977999925613403,"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/coreference","display_name":"Coreference","score":0.8943932056427002},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7847016453742981},{"id":"https://openalex.org/keywords/spurious-relationship","display_name":"Spurious relationship","score":0.7002140283584595},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.6286007165908813},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.6086714863777161},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5851883888244629},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.583512544631958},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.45582374930381775},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36876171827316284},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3565589189529419},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2309935986995697},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1304890215396881}],"concepts":[{"id":"https://openalex.org/C28076734","wikidata":"https://www.wikidata.org/wiki/Q63087","display_name":"Coreference","level":3,"score":0.8943932056427002},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7847016453742981},{"id":"https://openalex.org/C97256817","wikidata":"https://www.wikidata.org/wiki/Q1462316","display_name":"Spurious relationship","level":2,"score":0.7002140283584595},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.6286007165908813},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.6086714863777161},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5851883888244629},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.583512544631958},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.45582374930381775},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36876171827316284},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3565589189529419},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2309935986995697},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1304890215396881},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3115/1219840.1219891","is_oa":true,"landing_page_url":"https://doi.org/10.3115/1219840.1219891","pdf_url":"https://dl.acm.org/doi/pdf/10.3115/1219840.1219891","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics  - ACL '05","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.110.4611","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.110.4611","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://acl.ldc.upenn.edu/P/P05/P05-1051.pdf","raw_type":"text"}],"best_oa_location":{"id":"doi:10.3115/1219840.1219891","is_oa":true,"landing_page_url":"https://doi.org/10.3115/1219840.1219891","pdf_url":"https://dl.acm.org/doi/pdf/10.3115/1219840.1219891","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics  - ACL '05","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.4699999988079071,"display_name":"Quality Education"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"},{"id":"https://openalex.org/F4320332815","display_name":"Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2109442688.pdf","grobid_xml":"https://content.openalex.org/works/W2109442688.grobid-xml"},"referenced_works_count":10,"referenced_works":["https://openalex.org/W47947525","https://openalex.org/W1505083828","https://openalex.org/W1580375566","https://openalex.org/W1977697308","https://openalex.org/W2009774589","https://openalex.org/W2030408698","https://openalex.org/W2045993505","https://openalex.org/W2144087279","https://openalex.org/W2163918411","https://openalex.org/W4302585900"],"related_works":["https://openalex.org/W2139373276","https://openalex.org/W1509033667","https://openalex.org/W2227889443","https://openalex.org/W3041549465","https://openalex.org/W2380610138","https://openalex.org/W3171444480","https://openalex.org/W4206648670","https://openalex.org/W1495336436","https://openalex.org/W3212412177","https://openalex.org/W3173436410"],"abstract_inverted_index":{"Information":[0],"extraction":[1,48],"systems":[2],"incorporate":[3],"multiple":[4,66],"stages":[5,74],"of":[6,32,43,75,82,93],"linguistic":[7],"analysis.":[8],"Although":[9],"errors":[10,24,52],"are":[11],"typically":[12],"compounded":[13],"from":[14],"stage":[15,27],"to":[16,21,49,64],"stage,":[17],"it":[18],"is":[19],"possible":[20],"reduce":[22,50],"the":[23,30,33,41,51],"in":[25,84,95],"one":[26],"by":[28,39,54,72],"harnessing":[29],"results":[31,42],"other":[34],"stages.":[35],"We":[36,59,77],"demonstrate":[37],"this":[38],"using":[40],"coreference":[44],"analysis":[45],"and":[46,68,86,90],"relation":[47],"produced":[53],"a":[55,80,91],"Chinese":[56],"name":[57,88],"tagger.":[58],"use":[60],"an":[61],"N-best":[62],"approach":[63],"generate":[65],"hypotheses":[67],"have":[69],"them":[70],"re-ranked":[71],"subsequent":[73],"processing.":[76],"obtained":[78],"thereby":[79],"reduction":[81,92],"24%":[83],"spurious":[85],"incorrect":[87],"tags,":[89],"14%":[94],"missed":[96],"tags.":[97]},"counts_by_year":[{"year":2020,"cited_by_count":5},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
