{"id":"https://openalex.org/W2954293959","doi":"https://doi.org/10.18653/v1/s19-2017","title":"UC Davis at SemEval-2019 Task 1: DAG Semantic Parsing with Attention-based Decoder","display_name":"UC Davis at SemEval-2019 Task 1: DAG Semantic Parsing with Attention-based Decoder","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2954293959","doi":"https://doi.org/10.18653/v1/s19-2017","mag":"2954293959"},"language":"en","primary_location":{"id":"doi:10.18653/v1/s19-2017","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s19-2017","pdf_url":"https://www.aclweb.org/anthology/S19-2017.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 13th International Workshop on Semantic Evaluation","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/S19-2017.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101834699","display_name":"Dian Yu","orcid":"https://orcid.org/0000-0002-8583-8931"},"institutions":[{"id":"https://openalex.org/I84218800","display_name":"University of California, Davis","ror":"https://ror.org/05rrcem69","country_code":"US","type":"education","lineage":["https://openalex.org/I84218800"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dian Yu","raw_affiliation_strings":["University of California, Davis"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California, Davis","institution_ids":["https://openalex.org/I84218800"]}]},{"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/I84218800","display_name":"University of California, Davis","ror":"https://ror.org/05rrcem69","country_code":"US","type":"education","lineage":["https://openalex.org/I84218800"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kenji Sagae","raw_affiliation_strings":["University of California, Davis"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California, Davis","institution_ids":["https://openalex.org/I84218800"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I84218800"],"apc_list":null,"apc_paid":null,"fwci":1.1571,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.84177811,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9847000241279602,"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/semeval","display_name":"SemEval","score":0.9227455258369446},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8428492546081543},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.6759923100471497},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6537374258041382},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6016614437103271},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5451253652572632},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.36511507630348206},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3262638747692108}],"concepts":[{"id":"https://openalex.org/C44572571","wikidata":"https://www.wikidata.org/wiki/Q7448970","display_name":"SemEval","level":3,"score":0.9227455258369446},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8428492546081543},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.6759923100471497},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6537374258041382},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6016614437103271},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5451253652572632},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.36511507630348206},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3262638747692108},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"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:10.18653/v1/s19-2017","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s19-2017","pdf_url":"https://www.aclweb.org/anthology/S19-2017.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 13th International Workshop on Semantic Evaluation","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/s19-2017","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s19-2017","pdf_url":"https://www.aclweb.org/anthology/S19-2017.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 13th International Workshop on Semantic Evaluation","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3820081436","display_name":"CICI: SSC: TrOnto - A Community-Based Ontology for a Trustworthy and ResiliCent Scientific Cyberspace","funder_award_id":"1840191","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2954293959.pdf","grobid_xml":"https://content.openalex.org/works/W2954293959.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1902237438","https://openalex.org/W2250537251","https://openalex.org/W2250861254","https://openalex.org/W2251939518","https://openalex.org/W2252123671","https://openalex.org/W2301095666","https://openalex.org/W2552110825","https://openalex.org/W2563495010","https://openalex.org/W2579343286","https://openalex.org/W2604593109","https://openalex.org/W2807309509","https://openalex.org/W2918919089","https://openalex.org/W2963084773","https://openalex.org/W2963330800","https://openalex.org/W2963403868","https://openalex.org/W2963571341","https://openalex.org/W2964047362","https://openalex.org/W2964121744","https://openalex.org/W2964233404","https://openalex.org/W3100095716","https://openalex.org/W4293323043","https://openalex.org/W4385245566"],"related_works":["https://openalex.org/W1988325893","https://openalex.org/W2751613946","https://openalex.org/W4287887314","https://openalex.org/W2803726945","https://openalex.org/W4291593823","https://openalex.org/W2805641541","https://openalex.org/W4287888941","https://openalex.org/W4221151255","https://openalex.org/W2955722679","https://openalex.org/W2963463993"],"abstract_inverted_index":{"We":[0,20],"present":[1],"a":[2,41,60,68],"simple":[3,77],"and":[4,44,62,78,85],"accurate":[5],"model":[6,24],"for":[7,15,80],"semantic":[8,81],"parsing":[9,82],"with":[10,59,64,83],"UCCA":[11],"as":[12],"our":[13,36,74],"submission":[14],"SemEval":[16],"2019":[17],"Task":[18],"1.":[19],"propose":[21],"an":[22],"encoder-decoder":[23],"that":[25,73],"maps":[26],"strings":[27],"to":[28,66],"directed":[29],"acyclic":[30],"graphs.":[31],"Unlike":[32],"many":[33],"transitionbased":[34],"approaches,":[35],"approach":[37],"does":[38,49],"not":[39,50],"use":[40],"state":[42],"representation,":[43],"unlike":[45],"graph-based":[46],"parsers,":[47],"it":[48],"score":[51],"graphs":[52],"directly.":[53],"Instead,":[54],"we":[55],"encode":[56],"input":[57],"sentences":[58],"bidirectional-LSTM,":[61],"decode":[63],"selfattention":[65],"build":[67],"graph":[69],"structure.":[70],"Results":[71],"show":[72],"parser":[75],"is":[76],"effective":[79],"reentrancy":[84],"discontinuous":[86],"structures.":[87]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":4}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}