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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 3 Hits 1 – 20 of 48 1 Improving Pre-trained Language Models with Syntactic Dependency Prediction Task for Chinese Semantic Error Recognition ... Sun, Bo; Wang, Baoxin; Che, Wanxiang. - : arXiv, 2022 BASE Show details 2 ExpMRC: explainability evaluation for machine reading comprehension Cui, Yiming; Liu, Ting; Che, Wanxiang... In: Heliyon (2022) BASE Show details 3 Multilingual multi-aspect explainability analyses on machine reading comprehension models Cui, Yiming; Zhang, Wei-Nan; Che, Wanxiang... In: iScience (2022) BASE Show details 4 Multilingual Multi-Aspect Explainability Analyses on Machine Reading Comprehension Models ... Cui, Yiming; Zhang, Wei-Nan; Che, Wanxiang. - : arXiv, 2021 BASE Show details 5 Allocating Large Vocabulary Capacity for Cross-lingual Language Model Pre-training ... Zheng, Bo; Dong, Li; Huang, Shaohan. - : arXiv, 2021 BASE Show details 6 Chase: A Large-Scale and Pragmatic Chinese Dataset for Cross-Database Context-Dependent Text-to-SQL ... 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; Fan, mingfan@mail.xjtu.edu.cn; Guo, Jiaqi. - : Underline Science Inc., 2021 BASE Show details 7 GL-GIN: Fast and Accurate Non-Autoregressive Model for Joint Multiple Intent Detection and Slot Filling ... 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; Che, Wanxiang; Liu, Ting. - : Underline Science Inc., 2021 BASE Show details 8 A Closer Look into the Robustness of Neural Dependency Parsers Using Better Adversarial Examples ... 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; Che, Wanxiang; Cohen, Shay B.. - : Underline Science Inc., 2021 BASE Show details 9 Dynamic Connected Networks for Chinese Spelling Check ... 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; Che, Wanxiang; Hu , Guoping. - : Underline Science Inc., 2021 BASE Show details 10 Learning to Bridge Metric Spaces: Few-shot Joint Learning of Intent Detection and Slot Filling ... 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; Che, Wanxiang; Chen, Cheng; Hou, Yutai; Lai, Yongkui; Liu, Ting. - : Underline Science Inc., 2021 Abstract: Read paper: https://www.aclanthology.org/2021.findings-acl.282 Abstract: In this paper, we investigate few-shot joint learning for dialogue language understanding. Most existing few-shot models learn a single task each time with only a few examples. However, dialogue language understanding contains two closely related tasks, i.e., intent detection and slot filling, and often benefits from jointly learning the two tasks. This calls for new few-shot learning techniques that are able to capture task relations from only a few examples and jointly learn multiple tasks. To achieve this, we propose a similarity-based few-shot learning scheme, named Contrastive Prototype Merging network (ConProm), that learns to bridge metric spaces of intent and slot on data-rich domains, and then adapt the bridged metric space to specific few-shot domain. Experiments on two public datasets, Snips and FewJoint, show that our model significantly outperforms the strong baselines in one and five shots settings. ... Keyword: Computational Linguistics; Condensed Matter Physics; Deep Learning; Electromagnetism; FOS Physical sciences; Information and Knowledge Engineering; Neural Network; Semantics URL: https://dx.doi.org/10.48448/dc0k-sv27 https://underline.io/lecture/26373-learning-to-bridge-metric-spaces-few-shot-joint-learning-of-intent-detection-and-slot-filling BASE Hide details 11 Neural Stylistic Response Generation with Disentangled Latent Variables ... 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; Liu, Ting; Wang, William Yang. - : Underline Science Inc., 2021 BASE Show details 12 Guided Generation of Cause and Effect ... Li, Zhongyang; Ding, Xiao; Liu, Ting. - : arXiv, 2021 BASE Show details 13 Language learners' enjoyment and emotion regulation in online collaborative learning Zhang, Zhipeng (S34844); Liu, Ting; Lee, Chweebeng (R17032). - : U.K., Elsevier, 2021 BASE Show details 14 Canonicalizing Open Knowledge Bases with Multi-Layered Meta-Graph Neural Network ... Jiang, Tianwen; Zhao, Tong; Qin, Bing. - : arXiv, 2020 BASE Show details 15 TableGPT: Few-shot Table-to-Text Generation with Table Structure Reconstruction and Content Matching ... The 28th International Conference on Computational Linguistics 2020; Bi, Wei; Feng, Xiaocheng. - : Underline Science Inc., 2020 BASE Show details 16 N-LTP: An Open-source Neural Language Technology Platform for Chinese ... Che, Wanxiang; Feng, Yunlong; Qin, Libo. - : arXiv, 2020 BASE Show details 17 Cross-Lingual Machine Reading Comprehension ... Cui, Yiming; Che, Wanxiang; Liu, Ting. - : arXiv, 2019 BASE Show details 18 Neural recovery machine for chinese dropped pronoun [<Journal>] Zhang, Weinan [Verfasser]; Liu, Ting [Verfasser]; Yin, Qingyu [Verfasser]. DNB Subject Category Language Show details 19 CoNLL 2018 Shared Task System Outputs Zeman, Daniel; Potthast, Martin; Duthoo, Elie. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2018 BASE Show details 20 Towards Better UD Parsing: Deep Contextualized Word Embeddings, Ensemble, and Treebank Concatenation ... Che, Wanxiang; Liu, Yijia; Wang, Yuxuan. - : arXiv, 2018 BASE Show details Page: 1 2 3

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