335 citations · 1.7k across the 86 of their papers we have counts for
6 papers · 2 filters
Search and Learn: Improving Semantic Coverage for Data-to-Text Generation
Shailza Jolly, Zi Xuan Zhang, Andreas Dengel +1
Data-to-text generation systems aim to generate text descriptions based on input data (often represented in the tabular form). A typical system uses huge training samples for learn…
Non-Autoregressive Translation with Layer-Wise Prediction and Deep Supervision
Chenyang Huang, Hao Zhou, Osmar R. Zaïane +2
How do we perform efficient inference while retaining high translation quality? Existing neural machine translation models, such as Transformer, achieve high performance, but they…
Simulated Annealing for Emotional Dialogue Systems
Chengzhang Dong, Chenyang Huang, Osmar Zaïane +1
Explicitly modeling emotions in dialogue generation has important applications, such as building empathetic personal companions. In this study, we consider the task of expressing a…
Weakly Supervised Explainable Phrasal Reasoning with Neural Fuzzy Logic
Zijun Wu, Zi Xuan Zhang, Atharva Naik +3
Natural language inference (NLI) aims to determine the logical relationship between two sentences, such as Entailment, Contradiction, and Neutral. In recent years, deep learning mo…
A Globally Normalized Neural Model for Semantic Parsing
Chenyang Huang, Wei Yang, Yanshuai Cao +2
In this paper, we propose a globally normalized model for context-free grammar (CFG)-based semantic parsing. Instead of predicting a probability, our model predicts a real-valued s…
Semi-Supervised and Unsupervised Sense Annotation via Translations
Bradley Hauer, Grzegorz Kondrak, Yixing Luan +2
Acquisition of multilingual training data continues to be a challenge in word sense disambiguation (WSD). To address this problem, unsupervised approaches have been proposed to aut…