{"id":"https://openalex.org/W3093157554","doi":"https://doi.org/10.18653/v1/2020.wmt-1.104","title":"Incorporate Semantic Structures into Machine Translation Evaluation via UCCA","display_name":"Incorporate Semantic Structures into Machine Translation Evaluation via UCCA","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3093157554","doi":"https://doi.org/10.18653/v1/2020.wmt-1.104","mag":"3093157554"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2020.wmt-1.104","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2020.wmt-1.104","pdf_url":"https://aclanthology.org/2020.wmt-1.104.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 Fifth Conference on Machine Translation","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2020.wmt-1.104.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101804966","display_name":"Jin Xu","orcid":"https://orcid.org/0000-0001-9372-5681"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jin Xu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016681207","display_name":"Yinuo Guo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yinuo Guo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5025524764","display_name":"Junfeng Hu","orcid":"https://orcid.org/0000-0003-1409-1495"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junfeng Hu","raw_affiliation_strings":["Peking University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"934","last_page":"939"},"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":0.9998999834060669,"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/T13629","display_name":"Text Readability and Simplification","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"}}],"keywords":[{"id":"https://openalex.org/keywords/machine-translation","display_name":"Machine translation","score":0.797869086265564},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7795897126197815},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.7395488023757935},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6765535473823547},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.6760908961296082},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6475590467453003},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.6085938215255737},{"id":"https://openalex.org/keywords/copying","display_name":"Copying","score":0.5054507255554199},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.49915146827697754},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.47861427068710327},{"id":"https://openalex.org/keywords/core","display_name":"Core (optical fiber)","score":0.4622374176979065}],"concepts":[{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.797869086265564},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7795897126197815},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.7395488023757935},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6765535473823547},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.6760908961296082},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6475590467453003},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.6085938215255737},{"id":"https://openalex.org/C2779151265","wikidata":"https://www.wikidata.org/wiki/Q1156791","display_name":"Copying","level":2,"score":0.5054507255554199},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.49915146827697754},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.47861427068710327},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.4622374176979065},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C105580179","wikidata":"https://www.wikidata.org/wiki/Q188928","display_name":"Messenger RNA","level":3,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.18653/v1/2020.wmt-1.104","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2020.wmt-1.104","pdf_url":"https://aclanthology.org/2020.wmt-1.104.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 Fifth Conference on Machine Translation","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2010.08728","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2010.08728","pdf_url":"https://arxiv.org/pdf/2010.08728","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2010.08728","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2010.08728","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"},{"id":"mag:3093157554","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"doi:10.18653/v1/2020.wmt-1.104","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2020.wmt-1.104","pdf_url":"https://aclanthology.org/2020.wmt-1.104.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 Fifth Conference on Machine Translation","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.6000000238418579,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3093157554.pdf","grobid_xml":"https://content.openalex.org/works/W3093157554.grobid-xml"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W1572579572","https://openalex.org/W2038721957","https://openalex.org/W2098162425","https://openalex.org/W2101105183","https://openalex.org/W2132622898","https://openalex.org/W2133459682","https://openalex.org/W2148922863","https://openalex.org/W2163986298","https://openalex.org/W2250513563","https://openalex.org/W2250537251","https://openalex.org/W2252123671","https://openalex.org/W2471690557","https://openalex.org/W2508316494","https://openalex.org/W2604593109","https://openalex.org/W2804491852","https://openalex.org/W2902449872","https://openalex.org/W2915756181","https://openalex.org/W2916548775","https://openalex.org/W2964165364","https://openalex.org/W2971036337"],"related_works":["https://openalex.org/W3120355725","https://openalex.org/W2781679576","https://openalex.org/W2022470916","https://openalex.org/W2375129537","https://openalex.org/W1970842529","https://openalex.org/W2791505072","https://openalex.org/W2155598699","https://openalex.org/W2252213301","https://openalex.org/W8300060","https://openalex.org/W1989677785","https://openalex.org/W3156418318","https://openalex.org/W2740664249","https://openalex.org/W2331358815","https://openalex.org/W3157325677","https://openalex.org/W2918764215","https://openalex.org/W2295005279","https://openalex.org/W2899468685","https://openalex.org/W2213311226","https://openalex.org/W2922382144","https://openalex.org/W3201962287"],"abstract_inverted_index":{"Copying":[0],"mechanism":[1],"has":[2],"been":[3],"commonly":[4],"used":[5],"in":[6,15,20,26,30,43,60,70],"neural":[7],"paraphrasing":[8],"networks":[9],"and":[10,51,98],"other":[11],"text":[12],"generation":[13],"tasks,":[14],"which":[16,125],"some":[17],"important":[18,57,67],"words":[19,39,53,65],"the":[21,27,89,105,118],"input":[22],"sequence":[23],"are":[24,37,126],"preserved":[25],"output":[28],"sequence.Similarly,":[29],"machine":[31],"translation,":[32],"we":[33,63,76],"notice":[34],"that":[35,113],"there":[36],"certain":[38],"or":[40],"phrases":[41],"appearing":[42],"all":[44],"good":[45],"translations":[46],"of":[47,91,107,120],"one":[48],"source":[49],"text,":[50],"these":[52],"tend":[54],"to":[55,93],"convey":[56],"semantic":[58,68,73,95,108],"information.Therefore,":[59],"this":[61],"work,":[62],"define":[64],"carrying":[66],"meanings":[69],"sentences":[71],"as":[72],"core":[74,96,109],"words.Moreover,":[75],"propose":[77],"an":[78],"MT":[79,122],"evaluation":[80,123],"approach":[81],"named":[82],"Semantically":[83],"Weighted":[84],"Sentence":[85],"Similarity":[86],"(SWSS).It":[87],"leverages":[88],"power":[90],"UCCA":[92],"identify":[94],"words,":[97],"then":[99],"calculates":[100],"sentence":[101],"similarity":[102],"scores":[103],"on":[104,128],"overlap":[106],"words.Experimental":[110],"results":[111],"show":[112],"SWSS":[114],"can":[115],"consistently":[116],"improve":[117],"performance":[119],"popular":[121],"metrics":[124],"based":[127],"lexical":[129],"similarity.":[130]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2020-10-22T00:00:00"}