{"id":"https://openalex.org/W2497142792","doi":"https://doi.org/10.1162/tacl_a_00092","title":"Efficient Structured Inference for Transition-Based Parsing with Neural Networks and Error States","display_name":"Efficient Structured Inference for Transition-Based Parsing with Neural Networks and Error States","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2497142792","doi":"https://doi.org/10.1162/tacl_a_00092","mag":"2497142792"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1162/tacl_a_00092","pdf_url":"http://www.mitpressjournals.org/doi/pdf/10.1162/tacl_a_00092","source":{"id":"https://openalex.org/S2729999759","display_name":"Transactions of the Association for Computational Linguistics","issn_l":"2307-387X","issn":["2307-387X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320244","host_organization_name":"Association for Computational Linguistics","host_organization_lineage":["https://openalex.org/P4310320244"],"host_organization_lineage_names":["Association for Computational Linguistics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"journal-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"http://www.mitpressjournals.org/doi/pdf/10.1162/tacl_a_00092","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103024730","display_name":"Ashish Vaswani","orcid":"https://orcid.org/0000-0002-7794-2085"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Ashish Vaswani","raw_affiliation_strings":["USC Information Sciences Institute,"],"affiliations":[{"raw_affiliation_string":"USC Information Sciences Institute,","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070742827","display_name":"Kenji Sagae","orcid":"https://orcid.org/0000-0003-3371-0618"},"institutions":[{"id":"https://openalex.org/I4388482679","display_name":"USC Institute for Creative Technologies","ror":"https://ror.org/03hjhvn29","country_code":null,"type":"facility","lineage":["https://openalex.org/I1174212","https://openalex.org/I4388482679"]},{"id":"https://openalex.org/I4210087747","display_name":"Creative Technologies (United States)","ror":"https://ror.org/001qkb777","country_code":"US","type":"company","lineage":["https://openalex.org/I4210087747"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Kenji Sagae","raw_affiliation_strings":["USC Institute for Creative Technologies,"],"affiliations":[{"raw_affiliation_string":"USC Institute for Creative Technologies,","institution_ids":["https://openalex.org/I4388482679","https://openalex.org/I4210087747"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5103024730","https://openalex.org/A5070742827"],"corresponding_institution_ids":["https://openalex.org/I4388482679","https://openalex.org/I4210087747"],"apc_list":{"value":0,"currency":"USD","value_usd":0,"provenance":"doaj"},"apc_paid":null,"fwci":2.405,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":12,"citation_normalized_percentile":{"value":0.815363,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":87,"max":88},"biblio":{"volume":"4","issue":null,"first_page":"183","last_page":"196"},"is_retracted":false,"is_paratext":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":0.9995,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9931,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/dependency-grammar","display_name":"Dependency grammar","score":0.7300505},{"id":"https://openalex.org/keywords/simplicity","display_name":"Simplicity","score":0.50133944}],"concepts":[{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.83848083},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.83779407},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.81102455},{"id":"https://openalex.org/C164883195","wikidata":"https://www.wikidata.org/wiki/Q674834","display_name":"Dependency grammar","level":3,"score":0.7300505},{"id":"https://openalex.org/C194232998","wikidata":"https://www.wikidata.org/wiki/Q1606712","display_name":"Transition (genetics)","level":3,"score":0.6936389},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.66248345},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.61908317},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.52481306},{"id":"https://openalex.org/C2776372474","wikidata":"https://www.wikidata.org/wiki/Q508291","display_name":"Simplicity","level":2,"score":0.50133944},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45659244},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.41859362},{"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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.1162/tacl_a_00092","pdf_url":"http://www.mitpressjournals.org/doi/pdf/10.1162/tacl_a_00092","source":{"id":"https://openalex.org/S2729999759","display_name":"Transactions of the Association for Computational Linguistics","issn_l":"2307-387X","issn":["2307-387X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320244","host_organization_name":"Association for Computational Linguistics","host_organization_lineage":["https://openalex.org/P4310320244"],"host_organization_lineage_names":["Association for Computational Linguistics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1162/tacl_a_00092","pdf_url":"http://www.mitpressjournals.org/doi/pdf/10.1162/tacl_a_00092","source":{"id":"https://openalex.org/S2729999759","display_name":"Transactions of the Association for Computational Linguistics","issn_l":"2307-387X","issn":["2307-387X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320244","host_organization_name":"Association for Computational Linguistics","host_organization_lineage":["https://openalex.org/P4310320244"],"host_organization_lineage_names":["Association for Computational Linguistics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":37,"referenced_works":["https://openalex.org/W1138655186","https://openalex.org/W162171320","https://openalex.org/W1632114991","https://openalex.org/W1665214252","https://openalex.org/W181643614","https://openalex.org/W1904365287","https://openalex.org/W1934019294","https://openalex.org/W2007709031","https://openalex.org/W2008652694","https://openalex.org/W2092477611","https://openalex.org/W2094061585","https://openalex.org/W2098532383","https://openalex.org/W2104917081","https://openalex.org/W2105847779","https://openalex.org/W2114211800","https://openalex.org/W2114887620","https://openalex.org/W2121227244","https://openalex.org/W2124772738","https://openalex.org/W2124861326","https://openalex.org/W2128634885","https://openalex.org/W2131698806","https://openalex.org/W2132302233","https://openalex.org/W2139885235","https://openalex.org/W2146502635","https://openalex.org/W2147022480","https://openalex.org/W2147880316","https://openalex.org/W2154213504","https://openalex.org/W2158349948","https://openalex.org/W2158899491","https://openalex.org/W2161222299","https://openalex.org/W2250747734","https://openalex.org/W2250861254","https://openalex.org/W2251203058","https://openalex.org/W2569308312","https://openalex.org/W2962957031","https://openalex.org/W595069947","https://openalex.org/W932413789"],"related_works":["https://openalex.org/W63925617","https://openalex.org/W4288558800","https://openalex.org/W4241489294","https://openalex.org/W2968543375","https://openalex.org/W2953770453","https://openalex.org/W287510790","https://openalex.org/W2252142543","https://openalex.org/W2251084681","https://openalex.org/W2098784136","https://openalex.org/W122365991"],"abstract_inverted_index":{"Transition-based":[0],"approaches":[1],"based":[2],"on":[3],"local":[4,47,59,80],"classification":[5],"are":[6],"attractive":[7],"for":[8,32,36,43,78,87],"dependency":[9,89],"parsing":[10,38,90],"due":[11],"to":[12],"their":[13],"simplicity":[14],"and":[15],"speed,":[16],"despite":[17],"producing":[18],"results":[19],"slightly":[20],"below":[21],"the":[22,53],"state-of-the-art.":[23],"In":[24],"this":[25],"paper,":[26],"we":[27],"propose":[28],"a":[29],"new":[30],"approach":[31,83],"approximate":[33],"structured":[34],"inference":[35],"transition-based":[37,88],"that":[39],"produces":[40],"scores":[41],"suitable":[42],"global":[44],"scoring":[45],"using":[46],"models.":[48,74],"This":[49],"is":[50],"accomplished":[51],"with":[52],"introduction":[54],"of":[55],"error":[56],"states":[57],"in":[58,72,91],"training,":[60],"which":[61],"add":[62],"information":[63],"about":[64],"incorrect":[65],"derivation":[66],"paths":[67],"typically":[68],"left":[69],"out":[70],"completely":[71],"locally-trained":[73],"Using":[75],"neural":[76],"networks":[77],"our":[79,82],"classifiers,":[81],"achieves":[84],"93.61%":[85],"accuracy":[86],"English.":[92]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2497142792","counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":5}],"updated_date":"2024-12-15T01:52:01.791396","created_date":"2016-08-23"}