{"id":"https://openalex.org/W2250571224","doi":"https://doi.org/10.3115/v1/p15-1093","title":"Joint Case Argument Identification for Japanese Predicate Argument Structure Analysis","display_name":"Joint Case Argument Identification for Japanese Predicate Argument Structure Analysis","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W2250571224","doi":"https://doi.org/10.3115/v1/p15-1093","mag":"2250571224"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/p15-1093","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"proceedings-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://doi.org/10.3115/v1/p15-1093","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5109372838","display_name":"Hiroki Ouchi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hiroki Ouchi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063398043","display_name":"Hiroyuki Shindo","orcid":"https://orcid.org/0000-0003-1081-9194"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hiroyuki Shindo","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070418792","display_name":"Kevin Duh","orcid":"https://orcid.org/0000-0001-8107-4383"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kevin Duh","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5072032804","display_name":"Y\u016bji Matsumoto","orcid":"https://orcid.org/0000-0003-4946-9574"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuji Matsumoto","raw_affiliation_strings":[],"affiliations":[]}],"institution_assertions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.873,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.773679,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":92},"biblio":{"volume":null,"issue":null,"first_page":"961","last_page":"970"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Statistical Machine Translation and Natural Language Processing","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":"Statistical Machine Translation and Natural Language Processing","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":"Natural Language Processing","score":0.9995,"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/T10260","display_name":"Empirical Studies in Software Engineering","score":0.9943,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/predicate","display_name":"Predicate (mathematical logic)","score":0.80078816},{"id":"https://openalex.org/keywords/argument","display_name":"Argument (complex analysis)","score":0.71172017},{"id":"https://openalex.org/keywords/topic-modeling","display_name":"Topic Modeling","score":0.505196},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4176908}],"concepts":[{"id":"https://openalex.org/C140146324","wikidata":"https://www.wikidata.org/wiki/Q1144319","display_name":"Predicate (mathematical logic)","level":2,"score":0.80078816},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.7626382},{"id":"https://openalex.org/C98184364","wikidata":"https://www.wikidata.org/wiki/Q1780131","display_name":"Argument (complex analysis)","level":2,"score":0.71172017},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7093891},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.61185974},{"id":"https://openalex.org/C197657726","wikidata":"https://www.wikidata.org/wiki/Q174733","display_name":"Bipartite graph","level":3,"score":0.5987888},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5252378},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.465765},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4176908},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.26383942},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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":1,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/p15-1093","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/p15-1093","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":11,"referenced_works":["https://openalex.org/W194033037","https://openalex.org/W2008652694","https://openalex.org/W2035305552","https://openalex.org/W2098132066","https://openalex.org/W2108788053","https://openalex.org/W2122346240","https://openalex.org/W2126864682","https://openalex.org/W2134729743","https://openalex.org/W2143922751","https://openalex.org/W2251784867","https://openalex.org/W2252840007"],"related_works":["https://openalex.org/W2953461625","https://openalex.org/W2914151043","https://openalex.org/W2462900308","https://openalex.org/W2378553216","https://openalex.org/W2377185541","https://openalex.org/W2371352078","https://openalex.org/W2362026785","https://openalex.org/W2358573072","https://openalex.org/W2171044983","https://openalex.org/W2096992842"],"abstract_inverted_index":{"Existing":[0],"methods":[1,47,93],"for":[2,48],"Japanese":[3,49],"predicate":[4,14],"argument":[5,29],"structure":[6],"(PAS)":[7],"analysis":[8,51,92],"identify":[9,54],"case":[10,55],"arguments":[11,56],"of":[12,31,57],"each":[13,41],"without":[15],"considering":[16],"interactions":[17,68],"between":[18],"the":[19,28,32,83],"target":[20],"PAS":[21,50,67,78],"and":[22,73,99],"others":[23],"in":[24,34,60],"a":[25,35,61,70,96],"sentence.":[26],"However,":[27],"structures":[30],"predicates":[33,59],"sentence":[36,62],"are":[37,100],"semantically":[38],"related":[39],"to":[40,52,102],"other.":[42],"This":[43],"paper":[44],"proposes":[45],"new":[46],"jointly":[53],"all":[58],"by":[63],"(1)":[64],"modeling":[65],"multiple":[66],"with":[69],"bipartite":[71],"graph":[72],"(2)":[74],"approximately":[75],"searching":[76],"optimal":[77],"combinations.":[79],"Performing":[80],"experiments":[81],"on":[82],"NAIST":[84],"Text":[85],"Corpus,":[86],"we":[87],"demonstrate":[88],"that":[89],"our":[90],"joint":[91],"substantially":[94],"outperform":[95],"strong":[97],"baseline":[98],"comparable":[101],"previous":[103],"work.":[104]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2250571224","counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":3}],"updated_date":"2024-10-20T14:04:50.085669","created_date":"2016-06-24"}