乐胖代购免代理版

{"id":"https://openalex.org/W3045998699","doi":"https://doi.org/10.18653/v1/2020.ngt-1.11","title":"Leveraging Sentence Similarity in Natural Language Generation: Improving Beam Search using Range Voting","display_name":"Leveraging Sentence Similarity in Natural Language Generation: Improving Beam Search using Range Voting","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3045998699","doi":"https://doi.org/10.18653/v1/2020.ngt-1.11","mag":"3045998699"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.18653/v1/2020.ngt-1.11","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1908.06288","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5059460567","display_name":"Sebastian Borgeaud","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sebastian Borgeaud","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5041079942","display_name":"Guy Emerson","orcid":"https://orcid.org/0000-0002-3136-9682"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guy Emerson","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":1.061,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.684784,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":90},"biblio":{"volume":null,"issue":null,"first_page":"97","last_page":"109"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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/T10028","display_name":"Topic Modeling","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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9999,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9999,"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/natural-language-generation","display_name":"Natural Language Generation","score":0.7809837},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.54967767}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8390666},{"id":"https://openalex.org/C2776187449","wikidata":"https://www.wikidata.org/wiki/Q1513879","display_name":"Natural language generation","level":3,"score":0.7809837},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6725671},{"id":"https://openalex.org/C37381756","wikidata":"https://www.wikidata.org/wiki/Q20203288","display_name":"Representativeness heuristic","level":2,"score":0.6612785},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.6511675},{"id":"https://openalex.org/C520049643","wikidata":"https://www.wikidata.org/wiki/Q189760","display_name":"Voting","level":3,"score":0.616188},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5948526},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5877927},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.56985754},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.54967767},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.52046585},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.48929617},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.48193717},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.48169264},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.4763884},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37197995},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.32628047},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.13312596},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08245489},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0789617},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.18653/v1/2020.ngt-1.11","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/1908.06288","pdf_url":"https://arxiv.org/pdf/1908.06288","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":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":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/1908.06288","pdf_url":"https://arxiv.org/pdf/1908.06288","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":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":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[{"display_name":"Quality education","id":"https://metadata.un.org/sdg/4","score":0.81}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":43,"referenced_works":["https://openalex.org/W1489525520","https://openalex.org/W1592081640","https://openalex.org/W1836465849","https://openalex.org/W1861492603","https://openalex.org/W1895577753","https://openalex.org/W1972835756","https://openalex.org/W1983969726","https://openalex.org/W2064675550","https://openalex.org/W2101105183","https://openalex.org/W2112047182","https://openalex.org/W2124868070","https://openalex.org/W2136657878","https://openalex.org/W2164628107","https://openalex.org/W2183341477","https://openalex.org/W222053410","https://openalex.org/W2290933944","https://openalex.org/W2463955103","https://openalex.org/W2508865106","https://openalex.org/W2557436004","https://openalex.org/W2593696076","https://openalex.org/W2756487349","https://openalex.org/W2788277448","https://openalex.org/W2911338114","https://openalex.org/W2954460650","https://openalex.org/W2962784628","https://openalex.org/W2963068985","https://openalex.org/W2963206148","https://openalex.org/W2963247666","https://openalex.org/W2963366552","https://openalex.org/W2963403868","https://openalex.org/W2963506925","https://openalex.org/W2963532001","https://openalex.org/W2963551569","https://openalex.org/W2963706817","https://openalex.org/W2964134121","https://openalex.org/W2970038984","https://openalex.org/W2970692082","https://openalex.org/W2996287690","https://openalex.org/W3027871355","https://openalex.org/W3102516861","https://openalex.org/W3104033643","https://openalex.org/W3196290596","https://openalex.org/W583379360"],"related_works":["https://openalex.org/W382594479","https://openalex.org/W3034878914","https://openalex.org/W3020827637","https://openalex.org/W2955859849","https://openalex.org/W2575772232","https://openalex.org/W2470045054","https://openalex.org/W2152921782","https://openalex.org/W2151245229","https://openalex.org/W2140902089","https://openalex.org/W1510553545"],"abstract_inverted_index":{"We":[0,60,118],"propose":[1],"a":[2,37,71,87,121],"method":[3,42,79,135],"for":[4],"natural":[5],"language":[6,22,51],"generation,":[7],"choosing":[8],"the":[9,15,21,26,90,113,130],"most":[10,16],"representative":[11],"output":[12],"rather":[13],"than":[14],"likely":[17],"output.":[18],"By":[19],"viewing":[20],"generation":[23],"process":[24],"from":[25,48],"voting":[27,35],"theory":[28],"perspective,":[29],"we":[30],"define":[31],"representativeness":[32],"using":[33,133],"range":[34],"and":[36,56,70,75,82,100,127],"similarity":[38,63],"measure.":[39],"The":[40,104],"proposed":[41],"can":[43],"be":[44],"applied":[45],"when":[46,112],"generating":[47],"any":[49],"probabilistic":[50],"model,":[52],"including":[53],"n-gram":[54],"models":[55],"neural":[57],"network":[58],"models.":[59],"evaluate":[61],"different":[62],"measures":[64],"on":[65,124],"an":[66],"image":[67],"captioning":[68],"task":[69],"machine":[72],"translation":[73],"task,":[74],"show":[76],"that":[77,129],"our":[78,134],"generates":[80],"longer":[81,99],"more":[83,101],"diverse":[84],"sentences,":[85],"providing":[86],"solution":[88],"to":[89],"common":[91],"problem":[92],"of":[93],"short":[94],"outputs":[95,131],"being":[96],"preferred":[97],"over":[98],"informative":[102],"ones.":[103],"generated":[105,132],"sentences":[106],"obtain":[107],"higher":[108],"BLEU":[109],"scores,":[110],"particularly":[111],"beam":[114],"size":[115],"is":[116],"large.":[117],"also":[119],"perform":[120],"human":[122],"evaluation":[123],"both":[125],"tasks":[126],"find":[128],"are":[136],"rated":[137],"higher.":[138]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W3045998699","counts_by_year":[{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":2}],"updated_date":"2025-01-19T22:26:50.895419","created_date":"2020-08-03"}