138 citations · 480 across the 46 of their papers we have counts for
9 papers · 2 filters
Semantically-Aligned Equation Generation for Solving and Reasoning Math Word Problems
Ting-Rui Chiang, Yun-Nung Chen
Solving math word problems is a challenging task that requires accurate natural language understanding to bridge natural language texts and math expressions. Motivated by the intui…
Dynamically Context-Sensitive Time-Decay Attention for Dialogue Modeling
Shang-Yu Su, Pei-Chieh Yuan, Yun-Nung Chen
Spoken language understanding (SLU) is an essential component in conversational systems. Considering that contexts provide informative cues for better understanding, history can be…
BCWS: Bilingual Contextual Word Similarity
Ta-Chung Chi, Ching-Yen Shih, Yun-Nung Chen
This paper introduces the first dataset for evaluating English-Chinese Bilingual Contextual Word Similarity, namely BCWS (https://github.com/MiuLab/BCWS). The dataset consists of 2…
CLUSE: Cross-Lingual Unsupervised Sense Embeddings
Ta-Chung Chi, Yun-Nung Chen
This paper proposes a modularized sense induction and representation learning model that jointly learns bilingual sense embeddings that align well in the vector space, where the cr…
Abstractive Dialogue Summarization with Sentence-Gated Modeling Optimized by Dialogue Acts
Chih-Wen Goo, Yun-Nung Chen
Neural abstractive summarization has been increasingly studied, where the prior work mainly focused on summarizing single-speaker documents (news, scientific publications, etc). In…
Investigating Linguistic Pattern Ordering in Hierarchical Natural Language Generation
Shang-Yu Su, Yun-Nung Chen
Natural language generation (NLG) is a critical component in spoken dialogue system, which can be divided into two phases: (1) sentence planning: deciding the overall sentence stru…
xSense: Learning Sense-Separated Sparse Representations and Textual Definitions for Explainable Word Sense Networks
Ting-Yun Chang, Ta-Chung Chi, Shang-Chi Tsai +1
Despite the success achieved on various natural language processing tasks, word embeddings are difficult to interpret due to the dense vector representations. This paper focuses on…
Discriminative Deep Dyna-Q: Robust Planning for Dialogue Policy Learning
Shang-Yu Su, Xiujun Li, Jianfeng Gao +2
This paper presents a Discriminative Deep Dyna-Q (D3Q) approach to improving the effectiveness and robustness of Deep Dyna-Q (DDQ), a recently proposed framework that extends the D…
Natural Language Generation by Hierarchical Decoding with Linguistic Patterns
Shang-Yu Su, Kai-Ling Lo, Yi-Ting Yeh +1
Natural language generation (NLG) is a critical component in spoken dialogue systems. Classic NLG can be divided into two phases: (1) sentence planning: deciding on the overall sen…