{"id":"https://openalex.org/W2962803243","doi":"https://doi.org/10.18653/v1/d18-1191","title":"A Span Selection Model for Semantic Role Labeling","display_name":"A Span Selection Model for Semantic Role Labeling","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2962803243","doi":"https://doi.org/10.18653/v1/d18-1191","mag":"2962803243"},"language":"en","primary_location":{"id":"doi:10.18653/v1/d18-1191","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d18-1191","pdf_url":"https://www.aclweb.org/anthology/D18-1191.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/D18-1191.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5109372838","display_name":"Hiroki Ouchi","orcid":null},"institutions":[{"id":"https://openalex.org/I201537933","display_name":"Tohoku University","ror":"https://ror.org/01dq60k83","country_code":"JP","type":"education","lineage":["https://openalex.org/I201537933"]},{"id":"https://openalex.org/I4210126580","display_name":"RIKEN Center for Advanced Intelligence Project","ror":"https://ror.org/03ckxwf91","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210110652","https://openalex.org/I4210126580"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroki Ouchi","raw_affiliation_strings":["RIKEN Center for Advanced Intelligence Project (AIP)","Tohoku University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"RIKEN Center for Advanced Intelligence Project (AIP)","institution_ids":["https://openalex.org/I4210126580"]},{"raw_affiliation_string":"Tohoku University","institution_ids":["https://openalex.org/I201537933"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063398043","display_name":"Hiroyuki Shindo","orcid":"https://orcid.org/0000-0003-1081-9194"},"institutions":[{"id":"https://openalex.org/I4210126580","display_name":"RIKEN Center for Advanced Intelligence Project","ror":"https://ror.org/03ckxwf91","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210110652","https://openalex.org/I4210126580"]},{"id":"https://openalex.org/I75917431","display_name":"Nara Institute of Science and Technology","ror":"https://ror.org/05bhada84","country_code":"JP","type":"education","lineage":["https://openalex.org/I75917431"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroyuki Shindo","raw_affiliation_strings":["Nara Institute of Science and Technology","RIKEN Center for Advanced Intelligence Project (AIP)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nara Institute of Science and Technology","institution_ids":["https://openalex.org/I75917431"]},{"raw_affiliation_string":"RIKEN Center for Advanced Intelligence Project (AIP)","institution_ids":["https://openalex.org/I4210126580"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072032804","display_name":"Y\u016bji Matsumoto","orcid":"https://orcid.org/0000-0003-4946-9574"},"institutions":[{"id":"https://openalex.org/I4210126580","display_name":"RIKEN Center for Advanced Intelligence Project","ror":"https://ror.org/03ckxwf91","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210110652","https://openalex.org/I4210126580"]},{"id":"https://openalex.org/I75917431","display_name":"Nara Institute of Science and Technology","ror":"https://ror.org/05bhada84","country_code":"JP","type":"education","lineage":["https://openalex.org/I75917431"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuji Matsumoto","raw_affiliation_strings":["Nara Institute of Science and Technology","RIKEN Center for Advanced Intelligence Project (AIP)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nara Institute of Science and Technology","institution_ids":["https://openalex.org/I75917431"]},{"raw_affiliation_string":"RIKEN Center for Advanced Intelligence Project (AIP)","institution_ids":["https://openalex.org/I4210126580"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":101,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1630","last_page":"1642"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":1.0,"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":1.0,"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":0.9998000264167786,"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":0.9879999756813049,"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/computer-science","display_name":"Computer science","score":0.8457162380218506},{"id":"https://openalex.org/keywords/security-token","display_name":"Security token","score":0.7813366651535034},{"id":"https://openalex.org/keywords/span","display_name":"Span (engineering)","score":0.6908442974090576},{"id":"https://openalex.org/keywords/semantic-role-labeling","display_name":"Semantic role labeling","score":0.681547999382019},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.6678789258003235},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6342051029205322},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.547006368637085},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.45426174998283386},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.18964961171150208}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8457162380218506},{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.7813366651535034},{"id":"https://openalex.org/C2778753569","wikidata":"https://www.wikidata.org/wiki/Q1960395","display_name":"Span (engineering)","level":2,"score":0.6908442974090576},{"id":"https://openalex.org/C67277372","wikidata":"https://www.wikidata.org/wiki/Q7449085","display_name":"Semantic role labeling","level":3,"score":0.681547999382019},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.6678789258003235},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6342051029205322},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.547006368637085},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.45426174998283386},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.18964961171150208},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"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/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/d18-1191","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d18-1191","pdf_url":"https://www.aclweb.org/anthology/D18-1191.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/d18-1191","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d18-1191","pdf_url":"https://www.aclweb.org/anthology/D18-1191.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1935184735","display_name":null,"funder_award_id":"JPMJCR1513","funder_id":"https://openalex.org/F4320338075","funder_display_name":"Core Research for Evolutional Science and Technology"},{"id":"https://openalex.org/G4148610241","display_name":"Research on Integrated Structural Parsing from Scientific Literature","funder_award_id":"18K18109","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G6718509927","display_name":null,"funder_award_id":"CREST","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320315716","display_name":"Nara Institute of Science and Technology","ror":"https://ror.org/05bhada84"},{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"},{"id":"https://openalex.org/F4320338075","display_name":"Core Research for Evolutional Science and Technology","ror":"https://ror.org/00097mb19"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2962803243.pdf","grobid_xml":"https://content.openalex.org/works/W2962803243.grobid-xml"},"referenced_works_count":55,"referenced_works":["https://openalex.org/W12836875","https://openalex.org/W204260652","https://openalex.org/W1522301498","https://openalex.org/W1533861849","https://openalex.org/W1535936886","https://openalex.org/W1566256432","https://openalex.org/W1970849810","https://openalex.org/W1985085323","https://openalex.org/W2005708641","https://openalex.org/W2038324640","https://openalex.org/W2091896764","https://openalex.org/W2095705004","https://openalex.org/W2114590102","https://openalex.org/W2115792525","https://openalex.org/W2116512345","https://openalex.org/W2125930537","https://openalex.org/W2126851059","https://openalex.org/W2131774270","https://openalex.org/W2134612861","https://openalex.org/W2151170651","https://openalex.org/W2153813398","https://openalex.org/W2155069789","https://openalex.org/W2158188757","https://openalex.org/W2158847908","https://openalex.org/W2158899491","https://openalex.org/W2250539671","https://openalex.org/W2250726251","https://openalex.org/W2251599843","https://openalex.org/W2287914047","https://openalex.org/W2512597464","https://openalex.org/W2520774990","https://openalex.org/W2600702321","https://openalex.org/W2607350342","https://openalex.org/W2728192282","https://openalex.org/W2740765036","https://openalex.org/W2774996119","https://openalex.org/W2798304389","https://openalex.org/W2882669297","https://openalex.org/W2900064420","https://openalex.org/W2915816387","https://openalex.org/W2952230511","https://openalex.org/W2952339051","https://openalex.org/W2962739339","https://openalex.org/W2962788148","https://openalex.org/W2962875366","https://openalex.org/W2963084773","https://openalex.org/W2963087868","https://openalex.org/W2963246595","https://openalex.org/W2963435215","https://openalex.org/W2963560594","https://openalex.org/W2964030814","https://openalex.org/W2964121744","https://openalex.org/W2964222246","https://openalex.org/W4213168938","https://openalex.org/W4293718192"],"related_works":["https://openalex.org/W4388335561","https://openalex.org/W2970530566","https://openalex.org/W4288261899","https://openalex.org/W4307309205","https://openalex.org/W2967478618","https://openalex.org/W4385009901","https://openalex.org/W4385572700","https://openalex.org/W2997152889","https://openalex.org/W4285141722","https://openalex.org/W4389471172"],"abstract_inverted_index":{"We":[0],"present":[1],"a":[2],"simple":[3],"and":[4,23,50,77,83],"accurate":[5],"span-based":[6],"model":[7,14,43,70],"for":[8,26],"semantic":[9],"role":[10],"labeling":[11],"(SRL).":[12],"Our":[13],"directly":[15],"takes":[16],"into":[17],"account":[18],"all":[19],"possible":[20],"argument":[21],"spans":[22],"scores":[24],"them":[25],"each":[27],"label.":[28],"At":[29],"decoding":[30],"time,":[31],"we":[32],"greedily":[33],"select":[34],"higher":[35],"scoring":[36],"labeled":[37],"spans.":[38],"One":[39],"advantage":[40],"of":[41],"our":[42,68],"is":[44],"to":[45,48,57],"allow":[46],"us":[47],"design":[49],"use":[51,58],"spanlevel":[52],"features,":[53],"that":[54,67],"are":[55],"difficult":[56],"in":[59],"tokenbased":[60],"BIO":[61],"tagging":[62],"approaches.":[63],"Experimental":[64],"results":[65],"demonstrate":[66],"ensemble":[69],"achieves":[71],"the":[72,81],"state-of-the-art":[73],"results,":[74],"87.4":[75],"F1":[76,79],"87.0":[78],"on":[80],"CoNLL-2005":[82],"2012":[84],"datasets,":[85],"respectively.":[86]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":28},{"year":2020,"cited_by_count":31},{"year":2019,"cited_by_count":20},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}