activity
20162023
most citedA User Simulator for Task-Completion Dialogues

138 citations · 480 across the 46 of their papers we have counts for

collaborators
Showing 2018Show all

10 papers · 1 filter

cs.CL2018★ 10 cited

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…

cs.CL2018★ 2 cited

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…

cs.AI2018

Modeling Melodic Feature Dependency with Modularized Variational Auto-Encoder

Yu-An Wang, Yu-Kai Huang, Tzu-Chuan Lin +2

Automatic melody generation has been a long-time aspiration for both AI researchers and musicians. However, learning to generate euphonious melodies has turned out to be highly cha…

cs.CL2018★ 2 cited

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…

cs.CL2018

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…

cs.CL2018★ 6 cited

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…

cs.CL2018★ 4 cited

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…

cs.CL2018★ 17 cited

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…

cs.CL2018★ 11 cited

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…

cs.CL2018★ 3 cited

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…