33 citations · 85 across the 7 of their papers we have counts for
7 papers
HIORE: Leveraging High-order Interactions for Unified Entity Relation Extraction
Yijun Wang, Changzhi Sun, Yuanbin Wu +3
Entity relation extraction consists of two sub-tasks: entity recognition and relation extraction. Existing methods either tackle these two tasks separately or unify them with word-…
Unsupervised Editing for Counterfactual Stories
Jiangjie Chen, Chun Gan, Sijie Cheng +3
Creating what-if stories requires reasoning about prior statements and possible outcomes of the changed conditions. One can easily generate coherent endings under new conditions, b…
CNewSum: A Large-scale Chinese News Summarization Dataset with Human-annotated Adequacy and Deducibility Level
Danqing Wang, Jiaze Chen, Xianze Wu +2
Automatic text summarization aims to produce a brief but crucial summary for the input documents. Both extractive and abstractive methods have witnessed great success in English da…
Simulated annealing for optimization of graphs and sequences
Xianggen Liu, Pengyong Li, Fandong Meng +5
Optimization of discrete structures aims at generating a new structure with the better property given an existing one, which is a fundamental problem in machine learning. Different…
The Volctrans GLAT System: Non-autoregressive Translation Meets WMT21
Lihua Qian, Yi Zhou, Zaixiang Zheng +7
This paper describes the Volctrans' submission to the WMT21 news translation shared task for German->English translation. We build a parallel (i.e., non-autoregressive) translation…
Reciprocal Supervised Learning Improves Neural Machine Translation
Minkai Xu, Mingxuan Wang, Zhouhan Lin +3
Despite the recent success on image classification, self-training has only achieved limited gains on structured prediction tasks such as neural machine translation (NMT). This is m…
LOREN: Logic-Regularized Reasoning for Interpretable Fact Verification
Jiangjie Chen, Qiaoben Bao, Changzhi Sun +5
Given a natural language statement, how to verify its veracity against a large-scale textual knowledge source like Wikipedia? Most existing neural models make predictions without g…