{"id":"https://openalex.org/W2060922297","doi":"https://doi.org/10.1145/2396761.2398409","title":"Active learning for relation type extension with local and global data views","display_name":"Active learning for relation type extension with local and global data views","publication_year":2012,"publication_date":"2012-10-29","ids":{"openalex":"https://openalex.org/W2060922297","doi":"https://doi.org/10.1145/2396761.2398409","mag":"2060922297"},"language":"en","primary_location":{"id":"doi:10.1145/2396761.2398409","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2396761.2398409","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21st ACM international conference on Information and knowledge management","raw_type":"proceedings-article"},"type":"article","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/A5002868174","display_name":"Ang Sun","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":"Ang Sun","raw_affiliation_strings":["New York University, New York, NY, USA"],"affiliations":[{"raw_affiliation_string":"New York University, New York, NY, USA","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, USA"],"affiliations":[{"raw_affiliation_string":"New York University, New York, NY, USA","institution_ids":["https://openalex.org/I57206974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5002868174"],"corresponding_institution_ids":["https://openalex.org/I57206974"],"apc_list":null,"apc_paid":null,"fwci":3.8532,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.93496257,"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":"1105","last_page":"1112"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9987000226974487,"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":0.9987000226974487,"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":0.995199978351593,"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9850999712944031,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.8309223651885986},{"id":"https://openalex.org/keywords/relationship-extraction","display_name":"Relationship extraction","score":0.764887809753418},{"id":"https://openalex.org/keywords/extension","display_name":"Extension (predicate logic)","score":0.7508456707000732},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7021753787994385},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6132634878158569},{"id":"https://openalex.org/keywords/type","display_name":"Type (biology)","score":0.5561248660087585},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.48843851685523987},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.48207980394363403},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.4785623848438263},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.46083977818489075},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.44364678859710693},{"id":"https://openalex.org/keywords/security-token","display_name":"Security token","score":0.413796603679657},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.27534663677215576},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.07235440611839294},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.06125572323799133}],"concepts":[{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.8309223651885986},{"id":"https://openalex.org/C153604712","wikidata":"https://www.wikidata.org/wiki/Q7310755","display_name":"Relationship extraction","level":3,"score":0.764887809753418},{"id":"https://openalex.org/C2778029271","wikidata":"https://www.wikidata.org/wiki/Q5421931","display_name":"Extension (predicate logic)","level":2,"score":0.7508456707000732},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7021753787994385},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6132634878158569},{"id":"https://openalex.org/C2777299769","wikidata":"https://www.wikidata.org/wiki/Q3707858","display_name":"Type (biology)","level":2,"score":0.5561248660087585},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.48843851685523987},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.48207980394363403},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.4785623848438263},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.46083977818489075},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.44364678859710693},{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.413796603679657},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.27534663677215576},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.07235440611839294},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.06125572323799133},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2396761.2398409","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2396761.2398409","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21st ACM international conference on Information and knowledge management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.5299999713897705,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W130850236","https://openalex.org/W165237679","https://openalex.org/W1514969207","https://openalex.org/W1550588214","https://openalex.org/W1593345689","https://openalex.org/W1933365859","https://openalex.org/W2039914071","https://openalex.org/W2048679005","https://openalex.org/W2053238041","https://openalex.org/W2100869678","https://openalex.org/W2108211831","https://openalex.org/W2125553157","https://openalex.org/W2138627627","https://openalex.org/W2146191280","https://openalex.org/W2152269015","https://openalex.org/W2152917747","https://openalex.org/W2168596788","https://openalex.org/W2785349534","https://openalex.org/W2787118962","https://openalex.org/W3007535931","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2361861616","https://openalex.org/W2263699433","https://openalex.org/W2377979023","https://openalex.org/W2218034408","https://openalex.org/W2392921965","https://openalex.org/W2358755282","https://openalex.org/W4388335561","https://openalex.org/W2970530566","https://openalex.org/W2805262146","https://openalex.org/W4379517534"],"abstract_inverted_index":{"Relation":[0],"extraction":[1,23],"is":[2],"the":[3,57,61,66,79,94],"process":[4],"of":[5,8,11,30,49,97],"identifying":[6],"instances":[7,70],"specified":[9],"types":[10],"semantic":[12],"relations":[13],"in":[14],"text;":[15],"relation":[16,22,40,50],"type":[17,29,41],"extension":[18,42],"involves":[19],"extending":[20],"a":[21,27,72],"system":[24,38],"to":[25],"recognize":[26],"new":[28],"relation.":[31],"We":[32],"present":[33],"LGCo-Testing,":[34],"an":[35],"active":[36],"learning":[37],"for":[39],"based":[43],"on":[44,78],"local":[45],"and":[46],"global":[47],"views":[48],"instances.":[51],"Locally,":[52],"we":[53,64],"extract":[54],"features":[55],"from":[56,71],"sentence":[58],"that":[59,84],"contains":[60],"instance.":[62],"Globally,":[63],"measure":[65],"distributional":[67],"similarity":[68],"between":[69],"2":[73],"billion":[74],"token":[75],"corpus.":[76],"Evaluation":[77],"ACE":[80],"2004":[81],"corpus":[82],"shows":[83],"LGCo-Testing":[85],"can":[86],"reduce":[87],"annotation":[88],"cost":[89],"by":[90],"97%":[91],"while":[92],"maintaining":[93],"performance":[95],"level":[96],"supervised":[98],"learning.":[99]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
