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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 18 of 18 1 MM-COVID: A Multilingual and Multimodal Data Repository for Combating COVID-19 Disinformation ... Li, Yichuan; Jiang, Bohan; Shu, Kai. - : Zenodo, 2021 BASE Show details 2 MM-COVID: A Multilingual and Multimodal Data Repository for Combating COVID-19 Disinformation ... Li, Yichuan; Jiang, Bohan; Shu, Kai. - : Zenodo, 2021 BASE Show details 3 Text Adjuncts and Comprehension with University Level Second Language Readers ... Liu, Huan. - : Washington University in St. Louis, 2021 BASE Show details 4 Mitigating Bias in Session-based Cyberbullying Detection: A Non-Compromising Approach ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Cheng, Lu; Hall, Deborah. - : Underline Science Inc., 2021 BASE Show details 5 Learning to Selectively Learn for Weakly-supervised Paraphrase Generation ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Ding , Kaize; Fan, Xing; Guo, Chenlei; Li, Alexander Hanbo; Li, Dingcheng; Liu, Huan; Liu, Yang. - : Underline Science Inc., 2021 Abstract: Anthology paper link: https://aclanthology.org/2021.emnlp-main.480/ Abstract: Paraphrase generation is a longstanding NLP task that has diverse applications on downstream NLP tasks. However, the effectiveness of existing efforts predominantly relies on large amounts of golden labeled data. Though unsupervised endeavors have been proposed to alleviate this issue, they may fail to generate meaningful paraphrases due to the lack of supervision signals. In this work, we go beyond the existing paradigms and propose a novel approach to generate high-quality paraphrases with data of weak supervision. Specifically, we tackle the weakly-supervised paraphrase generation problem by: (1) obtaining abundant weakly-labeled parallel sentences via retrieval-based pseudo paraphrase expansion; and (2) developing a meta-learning framework to progressively select valuable samples for fine-tuning a pre-trained language model BART on the sentential paraphrasing task. We demonstrate that our approach achieves significant ... Keyword: Computational Linguistics; Machine Learning; Machine Learning and Data Mining; Natural Language Processing URL: https://dx.doi.org/10.48448/d4jr-k311 https://underline.io/lecture/37365-learning-to-selectively-learn-for-weakly-supervised-paraphrase-generation BASE Hide details 6 "Let's Eat Grandma": When Punctuation Matters in Sentence Representation for Sentiment Analysis ... Karami, Mansooreh; Mosallanezhad, Ahmadreza; Mancenido, Michelle V. - : arXiv, 2021 BASE Show details 7 MM-COVID: A Multilingual and Multimodal Data Repository for Combating COVID-19 Disinformation ... Li, Yichuan; Jiang, Bohan; Shu, Kai. - : arXiv, 2020 BASE Show details 8 Hierarchical Propagation Networks for Fake News Detection: Investigation and Exploitation Shu, Kai; Mahudeswaran, Deepak; Wang, Suhang... In: Proceedings of the International AAAI Conference on Web and Social Media; Vol. 14 (2020): Fourteenth International AAAI Conference on Web and Social Media; 626-637 ; 2334-0770 ; 2162-3449 (2020) BASE Show details 9 The Chinese Version of Rochester Participatory Decision-Making Scale (RPAD): Reliability and Validity Guo, Xufang; Liu, Huan; Shih, Yian... In: Evid Based Complement Alternat Med (2020) BASE Show details 10 Probabilistic Relational Supervised Topic Modelling using Word Embeddings Al-Ani, Jabir Alshehabi; Fasli, Maria. - : IEEE, 2019 BASE Show details 11 SlangSD: building, expanding and using a sentiment dictionary of slang words for short-text sentiment classification [<Journal>] Liu, Huan [Sonstige]; Morstatter, Fred [Sonstige]; Wu, Liang [Verfasser] DNB Subject Category Language Show details 12 Identifying Rhetorical Questions in Social Media Liu, Huan; Tang, Jiliang; Hu, Xia... In: Proceedings of the International AAAI Conference on Web and Social Media; Vol. 10 No. 1 (2016): Tenth International AAAI Conference on Web and Social Media ; 2334-0770 ; 2162-3449 (2016) BASE Show details 13 A Study on College English Teaching System Characterized by Need-Oriented Cultivation and Personalized Development: Illustrated by the Reform Practice in China University of Petroleum CHEN, Xiaoxin; LIU, Huan In: Studies in Literature and Language; Vol 10, No 4 (2015): Studies in Literature and Language; 115-123 ; 1923-1563 ; 1923-1555 (2015) BASE Show details 14 Finding Eyewitness Tweets During Crises ... Morstatter, Fred; Lubold, Nichola; Pon-Barry, Heather. - : arXiv, 2014 BASE Show details 15 Invited Speaker Support for SBP Conference Series (SBP 2014) held in April, 2014 in Washington, DC. Liu, Huan; Cioffi-Revilla,Claudio. - 2014 BASE Show details 16 WisColl: Collective wisdom based blog clustering Agarwal, Nitin; Galan, Magdiel; Liu, Huan... In: Information sciences. - New York, NY : Elsevier Science Inc. 180 (2010) 1, 39-61 OLC Linguistik Show details 17 Some current issues of streaming data mining Zhang, Jianping; Liu, Huan; Wang, Paul P. In: Information sciences. - New York, NY : Elsevier Science Inc. 176 (2006) 14, 1949-1951 OLC Linguistik Show details 18 Analysis of Hidden Representations by Greedy Clustering Setiono, Rudy; Liu, Huan In: Connection science. - Abingdon, Oxfordshire : Taylor & Francis 10 (1998) 1, 21-42 OLC Linguistik Show details

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