{"id":"https://openalex.org/W1984846337","doi":"https://doi.org/10.1109/icmlc.2012.6358889","title":"Applying a multitask feature sparsity method for the classification of semantic relations between nominals","display_name":"Applying a multitask feature sparsity method for the classification of semantic relations between nominals","publication_year":2012,"publication_date":"2012-07-01","ids":{"openalex":"https://openalex.org/W1984846337","doi":"https://doi.org/10.1109/icmlc.2012.6358889","mag":"1984846337"},"language":"en","primary_location":{"id":"doi:10.1109/icmlc.2012.6358889","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2012.6358889","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 International Conference on Machine Learning and Cybernetics","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/A5085460431","display_name":"Guoqing Chao","orcid":"https://orcid.org/0000-0002-2410-650X"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guoqing Chao","raw_affiliation_strings":["Department of Computer Science and Technology, East China Jiao Tong University, Shanghai, China","Department of Computer Science and Technology, East China Normal University, 500 Dongchuan Road, Shanghai 200241, China#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, East China Jiao Tong University, Shanghai, China","institution_ids":[]},{"raw_affiliation_string":"Department of Computer Science and Technology, East China Normal University, 500 Dongchuan Road, Shanghai 200241, China#TAB#","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047846625","display_name":"Shiliang Sun","orcid":"https://orcid.org/0000-0001-7069-3752"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiliang Sun","raw_affiliation_strings":["Department of Computer Science and Technology, East China Jiao Tong University, Shanghai, China","Department of Computer Science and Technology, East China Normal University, 500 Dongchuan Road, Shanghai 200241, China#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, East China Jiao Tong University, Shanghai, China","institution_ids":[]},{"raw_affiliation_string":"Department of Computer Science and Technology, East China Normal University, 500 Dongchuan Road, Shanghai 200241, China#TAB#","institution_ids":["https://openalex.org/I66867065"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5085460431"],"corresponding_institution_ids":["https://openalex.org/I66867065"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.07071727,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"72","last_page":"76"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","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"}},"topics":[{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9818999767303467,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9631999731063843,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/discriminative-model","display_name":"Discriminative model","score":0.8605034947395325},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7585673332214355},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7220137715339661},{"id":"https://openalex.org/keywords/semeval","display_name":"SemEval","score":0.7084251642227173},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5825172662734985},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5700477957725525},{"id":"https://openalex.org/keywords/multi-task-learning","display_name":"Multi-task learning","score":0.539642870426178},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5345975756645203},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5088753700256348},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.4513782262802124},{"id":"https://openalex.org/keywords/principle-of-maximum-entropy","display_name":"Principle of maximum entropy","score":0.4420667290687561},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40041297674179077},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.2594648599624634},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.07750380039215088}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8605034947395325},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7585673332214355},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7220137715339661},{"id":"https://openalex.org/C44572571","wikidata":"https://www.wikidata.org/wiki/Q7448970","display_name":"SemEval","level":3,"score":0.7084251642227173},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5825172662734985},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5700477957725525},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.539642870426178},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5345975756645203},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5088753700256348},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.4513782262802124},{"id":"https://openalex.org/C9679016","wikidata":"https://www.wikidata.org/wiki/Q1417473","display_name":"Principle of maximum entropy","level":2,"score":0.4420667290687561},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40041297674179077},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.2594648599624634},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.07750380039215088},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmlc.2012.6358889","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2012.6358889","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 International Conference on Machine Learning and Cybernetics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7400000095367432,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320311190","display_name":"Safari Club International Foundation","ror":"https://ror.org/0341wf912"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W187728705","https://openalex.org/W1967849786","https://openalex.org/W2029903369","https://openalex.org/W2060390641","https://openalex.org/W2069364362","https://openalex.org/W2082834714","https://openalex.org/W2116650673","https://openalex.org/W2155212360","https://openalex.org/W2161813919","https://openalex.org/W2913340405","https://openalex.org/W2914746235","https://openalex.org/W6607600408","https://openalex.org/W6677444709","https://openalex.org/W6683032681","https://openalex.org/W7039386316"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W2805572527","https://openalex.org/W2805850807","https://openalex.org/W2807304112","https://openalex.org/W1992814554","https://openalex.org/W2067802667","https://openalex.org/W3041490575","https://openalex.org/W2970690932"],"abstract_inverted_index":{"This":[0,46],"paper":[1],"extracts":[2],"seven":[3],"effective":[4],"feature":[5,25],"sets":[6],"and":[7,64],"reduces":[8],"them":[9],"to":[10,28,59],"same":[11],"dimension":[12],"by":[13,86],"principle":[14],"component":[15],"analysis":[16],"(peA),":[17],"such":[18],"that":[19,85],"it":[20],"can":[21,48],"utilize":[22],"a":[23,76],"multitask":[24,61],"sparsity":[26],"approach":[27],"the":[29],"automatic":[30],"identification":[31],"of":[32,52,78],"semantic":[33,57],"relations":[34],"between":[35,55],"nominals":[36],"in":[37],"English":[38],"sentences":[39],"under":[40],"maximum":[41],"entropy":[42],"discrimination":[43],"(MED)":[44],"framework.":[45],"method":[47],"make":[49],"full":[50],"use":[51],"related":[53],"information":[54],"different":[56],"classifications":[58],"perform":[60],"discriminative":[62],"learning":[63],"don't":[65],"employ":[66],"additional":[67],"knowledge":[68],"sources.":[69],"At":[70],"SemEval":[71],"2007,":[72],"our":[73],"system":[74],"achieved":[75],"F-score":[77],"69.15":[79],"%":[80],"which":[81],"is":[82],"higher":[83],"than":[84],"independent":[87],"SVM.":[88]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
