{"id":"https://openalex.org/W2889328554","doi":"https://doi.org/10.21437/interspeech.2018-1459","title":"Fast Derivation of Cross-lingual Document Vectors from Self-attentive Neural Machine Translation Model","display_name":"Fast Derivation of Cross-lingual Document Vectors from Self-attentive Neural Machine Translation Model","publication_year":2018,"publication_date":"2018-08-28","ids":{"openalex":"https://openalex.org/W2889328554","doi":"https://doi.org/10.21437/interspeech.2018-1459","mag":"2889328554"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2018-1459","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2018-1459","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2018","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100736640","display_name":"Wei Li","orcid":"https://orcid.org/0000-0002-2403-0461"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Wei Li","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5059141717","display_name":"Brian Mak","orcid":"https://orcid.org/0000-0001-6787-5555"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Brian Mak","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100736640"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1629,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.58619412,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"107","last_page":"111"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9980999827384949,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9850000143051147,"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/computer-science","display_name":"Computer science","score":0.7622075080871582},{"id":"https://openalex.org/keywords/machine-translation","display_name":"Machine translation","score":0.7029054164886475},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5760496854782104},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.4994468688964844},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.49019771814346313}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7622075080871582},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.7029054164886475},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5760496854782104},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.4994468688964844},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.49019771814346313},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C105580179","wikidata":"https://www.wikidata.org/wiki/Q188928","display_name":"Messenger RNA","level":3,"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":3,"locations":[{"id":"doi:10.21437/interspeech.2018-1459","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2018-1459","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2018","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-94365","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-94365","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"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":"Conference paper"},{"id":"pmh:oai:repository.ust.hk:1783.1-94365","is_oa":false,"landing_page_url":"http://gateway.isiknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=LinksAMR&SrcApp=PARTNER_APP&DestLinkType=FullRecord&DestApp=WOS&KeyUT=000465363900022","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W46679369","https://openalex.org/W941230081","https://openalex.org/W1828724394","https://openalex.org/W2142074148","https://openalex.org/W2251033195","https://openalex.org/W2251765408","https://openalex.org/W2251805974","https://openalex.org/W2466291125","https://openalex.org/W2508515839","https://openalex.org/W2516925101","https://openalex.org/W2594229957","https://openalex.org/W2597655663","https://openalex.org/W2741040846","https://openalex.org/W2949547296","https://openalex.org/W2950682695","https://openalex.org/W2950726992","https://openalex.org/W2962801832","https://openalex.org/W2963403868","https://openalex.org/W2963915291","https://openalex.org/W2964121744","https://openalex.org/W2964298349"],"related_works":["https://openalex.org/W2775554247","https://openalex.org/W2883671469","https://openalex.org/W2728761353","https://openalex.org/W2110168585","https://openalex.org/W3107474891","https://openalex.org/W2250213760","https://openalex.org/W4386247111","https://openalex.org/W4327642362","https://openalex.org/W2587014613","https://openalex.org/W3204019825"],"abstract_inverted_index":{"A":[0],"universal":[1],"cross-lingual":[2,96,160],"representation":[3],"of":[4,114,142],"documents,":[5],"which":[6,31],"can":[7,63,108,135,154],"capture":[8],"the":[9,34,40,73,106,112,115,118,121,148,168,173,185,189,194],"underlying":[10],"semantics":[11],"is":[12,123],"very":[13,124],"useful":[14],"in":[15,117,172,193],"many":[16],"natural":[17],"language":[18],"processing":[19],"tasks.":[20],"In":[21,158],"this":[22],"paper,":[23],"we":[24],"develop":[25],"a":[26,47,51,83,90,140,159],"new":[27],"document":[28,44,85,161],"vectorization":[29],"method":[30,62,80],"effectively":[32],"selects":[33],"most":[35],"salient":[36],"sequential":[37],"patterns":[38],"from":[39,139],"inputs":[41],"to":[42,72,178],"create":[43],"vectors":[45],"via":[46],"self-attention":[48],"mechanism":[49],"using":[50],"neural":[52],"machine":[53,92],"translation":[54],"(NMT)":[55],"model.":[56],"The":[57],"model":[58,134],"used":[59],"by":[60,111],"our":[61,79,133,164,179],"be":[64,109,136,155],"trained":[65],"with":[66],"parallel":[67,152],"corpora":[68],"that":[69],"are":[70],"unrelated":[71],"task":[74],"at":[75],"hand.":[76],"During":[77],"testing,":[78],"will":[81],"take":[82],"monolingual":[84],"and":[86,120,126,147],"convert":[87],"it":[88,182],"into":[89],"\u201cNeural":[91],"Translation":[93],"framework":[94],"based":[95],"Document":[97],"Vector\u201d":[98],"(NTDV).":[99],"NTDV":[100,107,165],"has":[101],"two":[102],"comparative":[103],"advantages.":[104],"Firstly,":[105],"produced":[110],"forward-pass":[113],"encoder":[116],"NMT,":[119],"process":[122],"fast":[125,190],"does":[127],"not":[128],"require":[129],"any":[130],"training/optimization.":[131],"Secondly,":[132],"conveniently":[137],"adapted":[138],"pair":[141],"existing":[143],"attention-based":[144],"NMT":[145],"models,":[146],"training":[149],"requirement":[150],"on":[151],"corpus":[153],"reduced":[156],"significantly.":[157],"classification":[162,175,196],"task,":[163],"embeddings":[166],"surpass":[167],"previous":[169],"state-of-the-art":[170],"performance":[171,187],"English-to-German":[174],"test,":[176],"and,":[177],"best":[180,186],"knowledge,":[181],"also":[183],"achieves":[184],"among":[188],"decoding":[191],"methods":[192],"German-to-English":[195],"test.":[197],"\u00a9":[198],"2018":[199],"International":[200],"Speech":[201],"Communication":[202],"Association.":[203],"All":[204],"rights":[205],"reserved.":[206]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}