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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 – 12 of 12 1 Building Robust Spoken Language Understanding by Cross Attention between Phoneme Sequence and ASR Hypothesis ... Wang, Zexun; Le, Yuquan; Zhu, Yi; Zhao, Yuming; Feng, Mingchao; Chen, Meng; He, Xiaodong. - : arXiv, 2022 Abstract: Building Spoken Language Understanding (SLU) robust to Automatic Speech Recognition (ASR) errors is an essential issue for various voice-enabled virtual assistants. Considering that most ASR errors are caused by phonetic confusion between similar-sounding expressions, intuitively, leveraging the phoneme sequence of speech can complement ASR hypothesis and enhance the robustness of SLU. This paper proposes a novel model with Cross Attention for SLU (denoted as CASLU). The cross attention block is devised to catch the fine-grained interactions between phoneme and word embeddings in order to make the joint representations catch the phonetic and semantic features of input simultaneously and for overcoming the ASR errors in downstream natural language understanding (NLU) tasks. Extensive experiments are conducted on three datasets, showing the effectiveness and competitiveness of our approach. Additionally, We also validate the universality of CASLU and prove its complementarity when combining with other robust ... : ICASSP 2022 ... Keyword: Audio and Speech Processing eess.AS; Computation and Language cs.CL; FOS Computer and information sciences; FOS Electrical engineering, electronic engineering, information engineering; Sound cs.SD URL: https://arxiv.org/abs/2203.12067 https://dx.doi.org/10.48550/arxiv.2203.12067 BASE Hide details 2 An Unsupervised Method for Building Sentence Simplification Corpora in Multiple Languages ... Lu, Xinyu; Qiang, Jipeng; Li, Yun. - : arXiv, 2021 BASE Show details 3 An Unsupervised Method for Building Sentence Simplification Corpora in Multiple Languages ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Li, Yun; Lu, Xinyu. - : Underline Science Inc., 2021 BASE Show details 4 Combining Deep Generative Models and Multi-lingual Pretraining for Semi-supervised Document Classification ... Zhu, Yi; Shareghi, Ehsan; Li, Yingzhen. - : arXiv, 2021 BASE Show details 5 A Closer Look at Few-Shot Crosslingual Transfer: The Choice of Shots Matters ... 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; ., Hinrich; Korhonen, Anna. - : Underline Science Inc., 2021 BASE Show details 6 A Closer Look at Few-Shot Crosslingual Transfer: The Choice of Shots Matters ... Zhao, Mengjie; Zhu, Yi; Shareghi, Ehsan. - : arXiv, 2020 BASE Show details 7 LSBert: A Simple Framework for Lexical Simplification ... Qiang, Jipeng; Li, Yun; Zhu, Yi. - : arXiv, 2020 BASE Show details 8 Assessment of a biofluid mechanics-based model for calculating portal pressure in canines Lin, Jia-Yun; Zhang, Chi-Hao; Zheng, Lei... In: BMC Vet Res (2020) BASE Show details 9 Facing the challenges in ophthalmology clerkship teaching: Is flipped classroom the answer? Lin, Ying; Zhu, Yi; Chen, Chuan. - : Public Library of Science, 2017 BASE Show details 10 Dependency Parsing for Tweets Zhu, Yi. - 2017 BASE Show details 11 The Interpretation of Chinese Couplets' Syntactic Features: A Comparative Study of Two English Translation Versions of Xiyou Ji** Zhu, Yi. - : The University of Queensland, School of Languages and Cultures, 2015 BASE Show details 12 OntoPDF: using a text mining pipeline to generate enriched PDF versions of scientific papers Zhu, Yi; Rinaldi, Fabio In: Zhu, Yi; Rinaldi, Fabio (2014). OntoPDF: using a text mining pipeline to generate enriched PDF versions of scientific papers. In: 6th International Symposium on Semantic Mining in Biomedicine, Aveiro, Portugal, 6 October 2014 - 7 October 2014, 85-89. (2014) BASE Show details

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