{"id":"https://openalex.org/W2129712609","doi":"https://doi.org/10.3115/1218955.1219011","title":"Collective information extraction with relational Markov networks","display_name":"Collective information extraction with relational Markov networks","publication_year":2004,"publication_date":"2004-01-01","ids":{"openalex":"https://openalex.org/W2129712609","doi":"https://doi.org/10.3115/1218955.1219011","mag":"2129712609"},"language":"en","primary_location":{"id":"doi:10.3115/1218955.1219011","is_oa":true,"landing_page_url":"https://doi.org/10.3115/1218955.1219011","pdf_url":"https://dl.acm.org/doi/pdf/10.3115/1218955.1219011","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics - ACL '04","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.3115/1218955.1219011","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020435927","display_name":"R\u0103zvan Bunescu","orcid":"https://orcid.org/0000-0003-2919-3566"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Razvan Bunescu","raw_affiliation_strings":["University of Texas at Austin, Austin, TX","Univ. of Texas at Austin, Austin TX"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Texas at Austin, Austin, TX","institution_ids":["https://openalex.org/I86519309"]},{"raw_affiliation_string":"Univ. of Texas at Austin, Austin TX","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008715111","display_name":"Raymond J. Mooney","orcid":"https://orcid.org/0000-0002-4504-0490"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Raymond J. Mooney","raw_affiliation_strings":["University of Texas at Austin, Austin, TX","Univ. of Texas at Austin, Austin TX"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Texas at Austin, Austin, TX","institution_ids":["https://openalex.org/I86519309"]},{"raw_affiliation_string":"Univ. of Texas at Austin, Austin TX","institution_ids":["https://openalex.org/I86519309"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I86519309"],"apc_list":null,"apc_paid":null,"fwci":23.5676,"has_fulltext":false,"cited_by_count":139,"citation_normalized_percentile":{"value":0.99637217,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"438","last_page":"es"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9975000023841858,"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":0.9973000288009644,"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/crfs","display_name":"CRFS","score":0.9759324789047241},{"id":"https://openalex.org/keywords/conditional-random-field","display_name":"Conditional random field","score":0.7639882564544678},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.7564198970794678},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.738814115524292},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.6528418660163879},{"id":"https://openalex.org/keywords/graphical-model","display_name":"Graphical model","score":0.5759912133216858},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.5699695348739624},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5369659662246704},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.5287793874740601},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.450917512178421},{"id":"https://openalex.org/keywords/statistical-relational-learning","display_name":"Statistical relational learning","score":0.41961243748664856},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41624248027801514},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.4132898449897766},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.4110737144947052},{"id":"https://openalex.org/keywords/relational-database","display_name":"Relational database","score":0.2014726996421814},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14668285846710205},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08847475051879883}],"concepts":[{"id":"https://openalex.org/C2775953691","wikidata":"https://www.wikidata.org/wiki/Q5013874","display_name":"CRFS","level":3,"score":0.9759324789047241},{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.7639882564544678},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.7564198970794678},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.738814115524292},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.6528418660163879},{"id":"https://openalex.org/C155846161","wikidata":"https://www.wikidata.org/wiki/Q1143367","display_name":"Graphical model","level":2,"score":0.5759912133216858},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.5699695348739624},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5369659662246704},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.5287793874740601},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.450917512178421},{"id":"https://openalex.org/C177877439","wikidata":"https://www.wikidata.org/wiki/Q7604413","display_name":"Statistical relational learning","level":3,"score":0.41961243748664856},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41624248027801514},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.4132898449897766},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.4110737144947052},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.2014726996421814},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14668285846710205},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08847475051879883},{"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/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3115/1218955.1219011","is_oa":true,"landing_page_url":"https://doi.org/10.3115/1218955.1219011","pdf_url":"https://dl.acm.org/doi/pdf/10.3115/1218955.1219011","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics - ACL '04","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.3.5677","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.3.5677","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.utexas.edu/users/ml/papers/cie-acl-04.ps.gz","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.495.6557","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.495.6557","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.utexas.edu/users/ml/papers/cie-acl-04.pdf","raw_type":"text"}],"best_oa_location":{"id":"doi:10.3115/1218955.1219011","is_oa":true,"landing_page_url":"https://doi.org/10.3115/1218955.1219011","pdf_url":"https://dl.acm.org/doi/pdf/10.3115/1218955.1219011","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics - ACL '04","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1581262234","https://openalex.org/W1595840999","https://openalex.org/W1746680969","https://openalex.org/W1991154713","https://openalex.org/W2075635421","https://openalex.org/W2098678088","https://openalex.org/W2117400858","https://openalex.org/W2126185232","https://openalex.org/W2135932125","https://openalex.org/W2137813581","https://openalex.org/W2144087279","https://openalex.org/W2144578941","https://openalex.org/W2147880316","https://openalex.org/W2156515921","https://openalex.org/W2159080219","https://openalex.org/W2166474856","https://openalex.org/W2962735828"],"related_works":["https://openalex.org/W2055466819","https://openalex.org/W50079190","https://openalex.org/W2356597680","https://openalex.org/W182104056","https://openalex.org/W2111726165","https://openalex.org/W4302218341","https://openalex.org/W2950342388","https://openalex.org/W2129999749","https://openalex.org/W2088024891","https://openalex.org/W2006196395"],"abstract_inverted_index":{"Most":[0],"information":[1,77],"extraction":[2],"(IE)":[3],"systems":[4],"treat":[5],"separate":[6],"potential":[7,19],"extractions":[8,20],"as":[9,33],"independent.":[10],"However,":[11],"in":[12],"many":[13],"cases,":[14],"considering":[15],"influences":[16],"between":[17,71,84],"different":[18],"could":[21],"improve":[22],"overall":[23],"accuracy.":[24],"Statistical":[25],"methods":[26],"based":[27],"on":[28,88],"undirected":[29],"graphical":[30],"models,":[31],"such":[32],"conditional":[34],"random":[35],"fields":[36],"(CRFs),":[37],"have":[38],"been":[39],"shown":[40],"to":[41,46,90],"be":[42],"an":[43],"effective":[44],"approach":[45],"learning":[47,89],"accurate":[48],"IE":[49,55],"systems.":[50],"We":[51],"present":[52],"a":[53],"new":[54],"method":[56],"that":[57,79],"employs":[58],"Relational":[59],"Markov":[60],"Networks":[61],"(a":[62],"generalization":[63],"of":[64,100],"CRFs),":[65],"which":[66],"can":[67],"represent":[68],"arbitrary":[69],"dependencies":[70],"extractions.":[72,86],"This":[73],"allows":[74],"for":[75],"\"collective":[76],"extraction\"":[78],"exploits":[80],"the":[81,98],"mutual":[82],"influence":[83],"possible":[85],"Experiments":[87],"extract":[91],"protein":[92],"names":[93],"from":[94],"biomedical":[95],"text":[96],"demonstrate":[97],"advantages":[99],"this":[101],"approach.":[102]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":7},{"year":2014,"cited_by_count":7},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":16}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
