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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 – 7 of 7 1 Exploring Unsupervised Pretraining and Sentence Structure Modelling for Winograd Schema Challenge ... Ruan, Yu-Ping; Zhu, Xiaodan; Ling, Zhen-Hua; Shi, Zhan; Liu, Quan; Wei, Si. - : arXiv, 2019 Abstract: Winograd Schema Challenge (WSC) was proposed as an AI-hard problem in testing computers' intelligence on common sense representation and reasoning. This paper presents the new state-of-theart on WSC, achieving an accuracy of 71.1%. We demonstrate that the leading performance benefits from jointly modelling sentence structures, utilizing knowledge learned from cutting-edge pretraining models, and performing fine-tuning. We conduct detailed analyses, showing that fine-tuning is critical for achieving the performance, but it helps more on the simpler associative problems. Modelling sentence dependency structures, however, consistently helps on the harder non-associative subset of WSC. Analysis also shows that larger fine-tuning datasets yield better performances, suggesting the potential benefit of future work on annotating more Winograd schema sentences. ... : 7 pages ... Keyword: Artificial Intelligence cs.AI; Computation and Language cs.CL; FOS Computer and information sciences URL: https://arxiv.org/abs/1904.09705 https://dx.doi.org/10.48550/arxiv.1904.09705 BASE Hide details 2 Spelling Error Correction Using a Nested RNN Model and Pseudo Training Data ... Li, Hao; Wang, Yang; Liu, Xinyu. - : arXiv, 2018 BASE Show details 3 Commonsense Knowledge Enhanced Embeddings for Solving Pronoun Disambiguation Problems in Winograd Schema Challenge ... Liu, Quan; Jiang, Hui; Ling, Zhen-Hua. - : arXiv, 2016 BASE Show details 4 Deep Bottleneck Features for Spoken Language Identification Jiang, Bing; Song, Yan; Wei, Si. - : Public Library of Science, 2014 BASE Show details 5 Deep bottleneck features for spoken language identification Jiang, Bing; Song, Yan; Wei, Si. - : Public Library of Science, 2014 BASE Show details 6 A new method for mispronunciation detection using support vector machine based on pronunciation space models Wei, Si; Wang, Ren-Hua; Hu, Guoping... In: Speech communication. - Amsterdam [u.a.] : Elsevier 51 (2009) 10, 896-905 BLLDB OLC Linguistik Show details 7 HETERONYM VERIFICATION FOR MANDARIN SPEECH SYNTHESIS Lu Heng; Ling Zhenhua; Wei Si... In: http://isca-speech.org/archive_open/archive_papers/iscslp2008/137.pdf BASE Show details

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