32 citations · 101 across the 12 of their papers we have counts for
5 papers · 1 filter
Improving Knowledge-aware Dialogue Generation via Knowledge Base Question Answering
Jian Wang, Junhao Liu, Wei Bi +4
Neural network models usually suffer from the challenge of incorporating commonsense knowledge into the open-domain dialogue systems. In this paper, we propose a novel knowledge-aw…
Joint Learning of Answer Selection and Answer Summary Generation in Community Question Answering
Yang Deng, Wai Lam, Yuexiang Xie +4
Community question answering (CQA) gains increasing popularity in both academy and industry recently. However, the redundancy and lengthiness issues of crowdsourced answers limit t…
Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing
Jianquan Li, Xiaokang Liu, Wenpeng Yin +3
Multi-Task Learning (MTL) aims at boosting the overall performance of each individual task by leveraging useful information contained in multiple related tasks. It has shown great…
Towards Scalable and Reliable Capsule Networks for Challenging NLP Applications
Wei Zhao, Haiyun Peng, Steffen Eger +2
Obstacles hindering the development of capsule networks for challenging NLP applications include poor scalability to large output spaces and less reliable routing processes. In thi…
NAIRS: A Neural Attentive Interpretable Recommendation System
Shuai Yu, Yongbo Wang, Min Yang +3
In this paper, we develop a neural attentive interpretable recommendation system, named NAIRS. A self-attention network, as a key component of the system, is designed to assign att…