57 citations · 178 across the 40 of their papers we have counts for
14 papers · 1 filter
Document-Level Relation Extraction with Reconstruction
Wang Xu, Kehai Chen, Tiejun Zhao
In document-level relation extraction (DocRE), graph structure is generally used to encode relation information in the input document to classify the relation category between each…
AI-lead Court Debate Case Investigation
Changzhen Ji, Xin Zhou, Conghui Zhu +1
The multi-role judicial debate composed of the plaintiff, defendant, and judge is an important part of the judicial trial. Different from other types of dialogue, questions are rai…
Cross Copy Network for Dialogue Generation
Changzhen Ji, Xin Zhou, Yating Zhang +4
In the past few years, audiences from different fields witness the achievements of sequence-to-sequence models (e.g., LSTM+attention, Pointer Generator Networks, and Transformer) t…
Learning to Decouple Relations: Few-Shot Relation Classification with Entity-Guided Attention and Confusion-Aware Training
Yingyao Wang, Junwei Bao, Guangyi Liu +4
This paper aims to enhance the few-shot relation classification especially for sentences that jointly describe multiple relations. Due to the fact that some relations usually keep…
Reliable Evaluations for Natural Language Inference based on a Unified Cross-dataset Benchmark
Guanhua Zhang, Bing Bai, Jian Liang +3
Recent studies show that crowd-sourced Natural Language Inference (NLI) datasets may suffer from significant biases like annotation artifacts. Models utilizing these superficial cl…
Knowledge Distillation for Multilingual Unsupervised Neural Machine Translation
Haipeng Sun, Rui Wang, Kehai Chen +3
Unsupervised neural machine translation (UNMT) has recently achieved remarkable results for several language pairs. However, it can only translate between a single language pair an…
Understanding Learning Dynamics for Neural Machine Translation
Conghui Zhu, Guanlin Li, Lemao Liu +2
Despite the great success of NMT, there still remains a severe challenge: it is hard to interpret the internal dynamics during its training process. In this paper we propose to und…
Detecting and Understanding Generalization Barriers for Neural Machine Translation
Guanlin Li, Lemao Liu, Conghui Zhu +2
Generalization to unseen instances is our eternal pursuit for all data-driven models. However, for realistic task like machine translation, the traditional approach measuring gener…
Demographics Should Not Be the Reason of Toxicity: Mitigating Discrimination in Text Classifications with Instance Weighting
Guanhua Zhang, Bing Bai, Junqi Zhang +3
With the recent proliferation of the use of text classifications, researchers have found that there are certain unintended biases in text classification datasets. For example, text…
Self-Training for Unsupervised Neural Machine Translation in Unbalanced Training Data Scenarios
Haipeng Sun, Rui Wang, Kehai Chen +3
Unsupervised neural machine translation (UNMT) that relies solely on massive monolingual corpora has achieved remarkable results in several translation tasks. However, in real-worl…
Look-into-Object: Self-supervised Structure Modeling for Object Recognition
Mohan Zhou, Yalong Bai, Wei Zhang +2
Most object recognition approaches predominantly focus on learning discriminative visual patterns while overlooking the holistic object structure. Though important, structure model…
Modeling Future Cost for Neural Machine Translation
Chaoqun Duan, Kehai Chen, Rui Wang +4
Existing neural machine translation (NMT) systems utilize sequence-to-sequence neural networks to generate target translation word by word, and then make the generated word at each…
Multimodal Matching Transformer for Live Commenting
Chaoqun Duan, Lei Cui, Shuming Ma +3
Automatic live commenting aims to provide real-time comments on videos for viewers. It encourages users engagement on online video sites, and is also a good benchmark for video-to-…
Robust Unsupervised Neural Machine Translation with Adversarial Denoising Training
Haipeng Sun, Rui Wang, Kehai Chen +4
Unsupervised neural machine translation (UNMT) has recently attracted great interest in the machine translation community. The main advantage of the UNMT lies in its easy collectio…