335 citations · 554 across the 22 of their papers we have counts for
26 papers · 1 filter
Learning Non-Autoregressive Models from Search for Unsupervised Sentence Summarization
Puyuan Liu, Chenyang Huang, Lili Mou
Text summarization aims to generate a short summary for an input text. In this work, we propose a Non-Autoregressive Unsupervised Summarization (NAUS) approach, which does not requ…
Document-Level Relation Extraction with Sentences Importance Estimation and Focusing
Wang Xu, Kehai Chen, Lili Mou +1
Document-level relation extraction (DocRE) aims to determine the relation between two entities from a document of multiple sentences. Recent studies typically represent the entire…
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…
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…