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  1. NTU Scholars
  2. 電機資訊學院
  3. 電機工程學系
Please use this identifier to cite or link to this item: https://scholars.lib.ntu.edu.tw/handle/123456789/558969
DC FieldValueLanguage
dc.contributor.authorMao, H.-R.en_US
dc.contributor.authorHUNG-YI LEEen_US
dc.date.accessioned2021-05-05T02:43:08Z-
dc.date.available2021-05-05T02:43:08Z-
dc.date.issued2020-
dc.identifier.urihttps://www.scopus.com/inward/record.url?eid=2-s2.0-85084300222&partnerID=40&md5=fa9c556c2082acb51b13ef2c40a7d145-
dc.identifier.urihttps://scholars.lib.ntu.edu.tw/handle/123456789/558969-
dc.description.abstractParaphrase generation is an interesting and challenging NLP task which has numerous practical applications. In this paper, we analyze datasets commonly used for paraphrase generation research, and show that simply parroting input sentences surpasses state-of-the-art models in the literature when evaluated on standard metrics. Our findings illustrate that a model could be seemingly adept at generating paraphrases, despite only making trivial changes to the input sentence or even none at all. © 2019 Association for Computational Linguistics-
dc.relation.ispartofEMNLP-IJCNLP 2019 - 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, Proceedings of the Conference-
dc.subject.otherStandard metrics; State of the art; Natural language processing systems-
dc.titlePolly want a cracker: Analyzing performance of parroting on paraphrase generation datasetsen_US
dc.typeconference paper-
dc.identifier.scopus2-s2.0-85084300222-
dc.relation.pages5960-5968-
item.grantfulltextnone-
item.fulltextno fulltext-
item.openairetypeconference paper-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_5794-
crisitem.author.deptElectrical Engineering-
crisitem.author.deptIntel-NTU Connected Context Computing Center-
crisitem.author.deptCommunication Engineering-
crisitem.author.deptComputer Science and Information Engineering-
crisitem.author.deptNetworking and Multimedia-
crisitem.author.deptCenter for Artificial Intelligence and Advanced Robotics-
crisitem.author.deptMaster's Program in Smart Medicine and Health Informatics (SMART MHI)-
crisitem.author.orcid0000-0002-9654-5747-
crisitem.author.parentorgCollege of Electrical Engineering and Computer Science-
crisitem.author.parentorgOthers: University-Level Research Centers-
crisitem.author.parentorgOthers: International Research Centers-
crisitem.author.parentorgCollege of Electrical Engineering and Computer Science-
crisitem.author.parentorgCollege of Electrical Engineering and Computer Science-
crisitem.author.parentorgCollege of Electrical Engineering and Computer Science-
crisitem.author.parentorgOthers: University-Level Research Centers-
crisitem.author.parentorgInternational College-
Appears in Collections:電機工程學系
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臺大位居世界頂尖大學之列,為永久珍藏及向國際展現本校豐碩的研究成果及學術能量,圖書館整合機構典藏(NTUR)與學術庫(AH)不同功能平台,成為臺大學術典藏NTU scholars。期能整合研究能量、促進交流合作、保存學術產出、推廣研究成果。

To permanently archive and promote researcher profiles and scholarly works, Library integrates the services of “NTU Repository” with “Academic Hub” to form NTU Scholars.

總館學科館員 (Main Library)
醫學圖書館學科館員 (Medical Library)
社會科學院辜振甫紀念圖書館學科館員 (Social Sciences Library)

開放取用是從使用者角度提升資訊取用性的社會運動,應用在學術研究上是透過將研究著作公開供使用者自由取閱,以促進學術傳播及因應期刊訂購費用逐年攀升。同時可加速研究發展、提升研究影響力,NTU Scholars即為本校的開放取用典藏(OA Archive)平台。(點選深入了解OA)

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