{"id":"https://openalex.org/W2148627204","doi":"https://doi.org/10.3115/1075096.1075125","title":"An improved extraction pattern representation model for automatic IE pattern acquisition","display_name":"An improved extraction pattern representation model for automatic IE pattern acquisition","publication_year":2003,"publication_date":"2003-01-01","ids":{"openalex":"https://openalex.org/W2148627204","doi":"https://doi.org/10.3115/1075096.1075125","mag":"2148627204"},"language":"en","primary_location":{"id":"doi:10.3115/1075096.1075125","is_oa":true,"landing_page_url":"https://doi.org/10.3115/1075096.1075125","pdf_url":"https://dl.acm.org/doi/pdf/10.3115/1075096.1075125","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 41st Annual Meeting on Association for Computational Linguistics  - ACL '03","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/10.3115/1075096.1075125","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5072882821","display_name":"Kiyoshi Sudo","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":true,"raw_author_name":"Kiyoshi Sudo","raw_affiliation_strings":["New York University, New York, NY"],"affiliations":[{"raw_affiliation_string":"New York University, New York, NY","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112502341","display_name":"Satoshi Sekine","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":"Satoshi Sekine","raw_affiliation_strings":["New York University, New York, NY"],"affiliations":[{"raw_affiliation_string":"New York University, 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"],"affiliations":[{"raw_affiliation_string":"New York University, New York, NY","institution_ids":["https://openalex.org/I57206974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5072882821"],"corresponding_institution_ids":["https://openalex.org/I57206974"],"apc_list":null,"apc_paid":null,"fwci":16.7777,"has_fulltext":true,"cited_by_count":119,"citation_normalized_percentile":{"value":0.98768539,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"1","issue":null,"first_page":"224","last_page":"231"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.9966999888420105,"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/computer-science","display_name":"Computer science","score":0.7869499921798706},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.6400313973426819},{"id":"https://openalex.org/keywords/predicate","display_name":"Predicate (mathematical logic)","score":0.5686502456665039},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5484075546264648},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5115697979927063},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.44319888949394226},{"id":"https://openalex.org/keywords/recall","display_name":"Recall","score":0.4337024688720703},{"id":"https://openalex.org/keywords/knowledge-acquisition","display_name":"Knowledge acquisition","score":0.42697784304618835},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4123240113258362},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3963180184364319},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34190428256988525},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.12279477715492249}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7869499921798706},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.6400313973426819},{"id":"https://openalex.org/C140146324","wikidata":"https://www.wikidata.org/wiki/Q1144319","display_name":"Predicate (mathematical logic)","level":2,"score":0.5686502456665039},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5484075546264648},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5115697979927063},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.44319888949394226},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.4337024688720703},{"id":"https://openalex.org/C2777220311","wikidata":"https://www.wikidata.org/wiki/Q6423340","display_name":"Knowledge acquisition","level":2,"score":0.42697784304618835},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4123240113258362},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3963180184364319},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34190428256988525},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.12279477715492249},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3115/1075096.1075125","is_oa":true,"landing_page_url":"https://doi.org/10.3115/1075096.1075125","pdf_url":"https://dl.acm.org/doi/pdf/10.3115/1075096.1075125","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 41st Annual Meeting on Association for Computational Linguistics  - ACL '03","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.2.9080","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.2.9080","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/P03/P03-1029.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.5.6464","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.5.6464","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/acl2003/main/pdfs/Sudo.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.6.3870","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.6.3870","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/acl2003/main/ps/Sudo.ps","raw_type":"text"}],"best_oa_location":{"id":"doi:10.3115/1075096.1075125","is_oa":true,"landing_page_url":"https://doi.org/10.3115/1075096.1075125","pdf_url":"https://dl.acm.org/doi/pdf/10.3115/1075096.1075125","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 41st Annual Meeting on Association for Computational Linguistics  - ACL '03","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"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":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2148627204.pdf","grobid_xml":"https://content.openalex.org/works/W2148627204.grobid-xml"},"referenced_works_count":8,"referenced_works":["https://openalex.org/W178774507","https://openalex.org/W197270748","https://openalex.org/W1514542003","https://openalex.org/W2100977516","https://openalex.org/W2124634352","https://openalex.org/W2164949130","https://openalex.org/W2167536328","https://openalex.org/W2401845137"],"related_works":["https://openalex.org/W2067317451","https://openalex.org/W2154771632","https://openalex.org/W4211085505","https://openalex.org/W3122478268","https://openalex.org/W2084758217","https://openalex.org/W408804804","https://openalex.org/W4231021675","https://openalex.org/W2358294942","https://openalex.org/W1903703842","https://openalex.org/W4367460280"],"abstract_inverted_index":{"Several":[0],"approaches":[1],"have":[2],"been":[3,46],"described":[4],"for":[5,12,23,77],"the":[6,24,54,62],"automatic":[7],"unsupervised":[8],"acquisition":[9],"of":[10,40,69],"patterns":[11,25],"information":[13],"extraction.":[14],"Each":[15],"approach":[16],"is":[17],"based":[18,65],"on":[19,66],"a":[20,31,35,59,74],"particular":[21],"model":[22,79],"to":[26],"be":[27],"acquired,":[28],"such":[29],"as":[30],"predicate-argument":[32],"structure":[33],"or":[34],"dependency":[36,70],"chain.":[37],"The":[38],"effect":[39],"these":[41],"alternative":[42],"models":[43,56],"has":[44],"not":[45],"previously":[47],"studied.":[48],"In":[49],"this":[50,78],"paper,":[51],"we":[52],"compare":[53],"prior":[55],"and":[57,80],"introduce":[58],"new":[60],"model,":[61,64],"Subtree":[63,88],"arbitrary":[67],"subtrees":[68],"trees.":[71],"We":[72],"describe":[73],"discovery":[75],"procedure":[76],"demonstrate":[81],"experimentally":[82],"an":[83],"improvement":[84],"in":[85],"recall":[86],"using":[87],"patterns.":[89]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":8},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":11},{"year":2013,"cited_by_count":6},{"year":2012,"cited_by_count":9}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}