59 citations · 116 across the 13 of their papers we have counts for
9 papers · 1 filter
Topic-to-Essay Generation with Comprehensive Knowledge Enhancement
Zhiyue Liu, Jiahai Wang, Zhenghong Li
Generating high-quality and diverse essays with a set of topics is a challenging task in natural language generation. Since several given topics only provide limited source informa…
AR-LSAT: Investigating Analytical Reasoning of Text
Wanjun Zhong, Siyuan Wang, Duyu Tang +6
Analytical reasoning is an essential and challenging task that requires a system to analyze a scenario involving a set of particular circumstances and perform reasoning over it to…
Neural Deepfake Detection with Factual Structure of Text
Wanjun Zhong, Duyu Tang, Zenan Xu +5
Deepfake detection, the task of automatically discriminating machine-generated text, is increasingly critical with recent advances in natural language generative models. Existing a…
LogicalFactChecker: Leveraging Logical Operations for Fact Checking with Graph Module Network
Wanjun Zhong, Duyu Tang, Zhangyin Feng +7
Verifying the correctness of a textual statement requires not only semantic reasoning about the meaning of words, but also symbolic reasoning about logical operations like count, s…
A Heterogeneous Graph with Factual, Temporal and Logical Knowledge for Question Answering Over Dynamic Contexts
Wanjun Zhong, Duyu Tang, Nan Duan +3
We study question answering over a dynamic textual environment. Although neural network models achieve impressive accuracy via learning from input-output examples, they rarely leve…
Utilizing BERT Intermediate Layers for Aspect Based Sentiment Analysis and Natural Language Inference
Youwei Song, Jiahai Wang, Zhiwei Liang +2
Aspect based sentiment analysis aims to identify the sentimental tendency towards a given aspect in text. Fine-tuning of pretrained BERT performs excellent on this task and achieve…