26 citations · 35 across the 5 of their papers we have counts for
5 papers · 1 filter
Towards Quantifiable Dialogue Coherence Evaluation
Zheng Ye, Liucun Lu, Lishan Huang +2
Automatic dialogue coherence evaluation has attracted increasing attention and is crucial for developing promising dialogue systems. However, existing metrics have two major limita…
GRADE: Automatic Graph-Enhanced Coherence Metric for Evaluating Open-Domain Dialogue Systems
Lishan Huang, Zheng Ye, Jinghui Qin +2
Automatically evaluating dialogue coherence is a challenging but high-demand ability for developing high-quality open-domain dialogue systems. However, current evaluation metrics c…
Dynamic Knowledge Routing Network For Target-Guided Open-Domain Conversation
Jinghui Qin, Zheng Ye, Jianheng Tang +1
Target-guided open-domain conversation aims to proactively and naturally guide a dialogue agent or human to achieve specific goals, topics or keywords during open-ended conversatio…
Natural Language Comprehension with the EpiReader
Adam Trischler, Zheng Ye, Xingdi Yuan +1
We present the EpiReader, a novel model for machine comprehension of text. Machine comprehension of unstructured, real-world text is a major research goal for natural language proc…
A Parallel-Hierarchical Model for Machine Comprehension on Sparse Data
Adam Trischler, Zheng Ye, Xingdi Yuan +3
Understanding unstructured text is a major goal within natural language processing. Comprehension tests pose questions based on short text passages to evaluate such understanding.…