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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 Page: 1 2 Hits 1 – 20 of 30 1 Going deeper: Automatic short-answer grading by combining student and question models [<Journal>] Zhang, Yuan [Verfasser]; Lin, Chen [Verfasser]; Chi, Min [Verfasser] DNB Subject Category Language Show details 2 Mapping Natural Language Instructions to Mobile UI Action Sequences ... Li, Yang; He, Jiacong; Zhou, Xin. - : arXiv, 2020 BASE Show details 3 End-to-End Chinese Parsing Exploiting Lexicons ... Zhang, Yuan; Teng, Zhiyang; Zhang, Yue. - : arXiv, 2020 BASE Show details 4 PAWS-X: A Cross-lingual Adversarial Dataset for Paraphrase Identification ... Yang, Yinfei; Zhang, Yuan; Tar, Chris. - : arXiv, 2019 BASE Show details 5 PAWS: Paraphrase Adversaries from Word Scrambling ... Zhang, Yuan; Baldridge, Jason; He, Luheng. - : arXiv, 2019 BASE Show details 6 Aspect-augmented Adversarial Networks for Domain Adaptation Zhang, Yuan; Barzilay, Regina; Jaakkola, Tommi In: MIT Press (2019) BASE Show details 7 Neuropathology of RAN translation proteins in fragile X-associated tremor/ataxia syndrome Krans, Amy; Skariah, Geena; Zhang, Yuan. - 2019 BASE Show details 8 Neuropathology of RAN translation proteins in fragile X-associated tremor/ataxia syndrome Krans, Amy; Skariah, Geena; Zhang, Yuan. - : BioMed Central, 2019 BASE Show details 9 The Fabric of Entropy: A Discussion on the Meaning of Fractional Information Zhang, Yuan. - : University of North Texas, 2019 BASE Show details 10 A Fast, Compact, Accurate Model for Language Identification of Codemixed Text ... Zhang, Yuan; Riesa, Jason; Gillick, Daniel. - : arXiv, 2018 BASE Show details 11 Anticipating Correlative Thinking: A Comparative Analysis of the Laozi and Phaedrus Zhang, Yuan. - : University of Alberta. Department of East Asian Studies., 2018 BASE Show details 12 Transfer learning for low-resource natural language analysis Zhang, Yuan, Ph. D. Massachusetts Institute of Technology. - : Massachusetts Institute of Technology, 2017 BASE Show details 13 Ten pairs to tag - Multilingual POS tagging via coarse mapping between embeddings Gaddy, David M.; Zhang, Yuan; Barzilay, Regina... In: MIT Web Domain (2016) BASE Show details 14 High-order low-rank tensors for semantic role labeling Lei, Tao; Zhang, Yuan; Marquez, Lluis... In: MIT Web Domain (2015) BASE Show details 15 Hierarchical Low-Rank Tensors for Multilingual Transfer Parsing Barzilay, Regina; Zhang, Yuan In: MIT Web Domain (2015) BASE Show details 16 Randomized greedy inference for joint segmentation, POS tagging and dependency parsing Zhang, Yuan; Li, Chengtao; Barzilay, Regina... In: MIT Web Domain (2015) BASE Show details 17 Antonymous Adjectives in Disyllabic Lexical Compounds in Mandarin: A Cognitive Linguistics Perspective Zhang, Yuan; Kemmer, Suzanne. - : Horizon Research Publishing,USA, 2015 BASE Show details 18 Low-Rank Tensors for Scoring Dependency Structures Lei, Tao; Zhang, Yuan; Barzilay, Regina... In: MIT web domain (2014) BASE Show details 19 Steps to Excellence: Simple Inference with Refined Scoring of Dependency Trees Zhang, Yuan; Lei, Tao; Barzilay, Regina; Jaakkola, Tommi S.; Globerson, Amir In: MIT web domain (2014) Abstract: Much of the recent work on dependency parsing has been focused on solving inherent combinatorial problems associated with rich scoring functions. In contrast, we demonstrate that highly expressive scoring functions can be used with substantially simpler inference procedures. Specifically, we introduce a sampling-based parser that can easily handle arbitrary global features. Inspired by SampleRank, we learn to take guided stochastic steps towards a high scoring parse. We introduce two samplers for traversing the space of trees, Gibbs and Metropolis-Hastings with Random Walk. The model outperforms state-of-the-art results when evaluated on 14 languages of non-projective CoNLL datasets. Our sampling-based approach naturally extends to joint prediction scenarios, such as joint parsing and POS correction. The resulting method outperforms the best reported results on the CATiB dataset, approaching performance of parsing with gold tags. ; United States. Multidisciplinary University Research Initiative (W911NF-10-1-0533) ; United States. Defense Advanced Research Projects Agency. Broad Operational Language Translation ; United States-Israel Binational Science Foundation (Grant 2012330) URL: http://hdl.handle.net/1721.1/99746 BASE Hide details 20 Spatial Representation of Topological Concepts IN and ON: A Comparative Study of English and Mandarin Chinese Zhang, Yuan. - 2013 BASE Show details Page: 1 2

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