9 citations · 21 across the 5 of their papers we have counts for
5 papers
ComQA:Compositional Question Answering via Hierarchical Graph Neural Networks
Bingning Wang, Ting Yao, Weipeng Chen +2
With the development of deep learning techniques and large scale datasets, the question answering (QA) systems have been quickly improved, providing more accurate and satisfying an…
SenSeNet: Neural Keyphrase Generation with Document Structure
Yichao Luo, Zhengyan Li, Bingning Wang +3
Keyphrase Generation (KG) is the task of generating central topics from a given document or literary work, which captures the crucial information necessary to understand the conten…
Tasty Burgers, Soggy Fries: Probing Aspect Robustness in Aspect-Based Sentiment Analysis
Xiaoyu Xing, Zhijing Jin, Di Jin +3
Aspect-based sentiment analysis (ABSA) aims to predict the sentiment towards a specific aspect in the text. However, existing ABSA test sets cannot be used to probe whether a model…
ReCO: A Large Scale Chinese Reading Comprehension Dataset on Opinion
BingningWang, Ting Yao, Qi Zhang +2
This paper presents the ReCO, a human-curated ChineseReading Comprehension dataset on Opinion. The questions in ReCO are opinion based queries issued to the commercial search engin…
Sogou Machine Reading Comprehension Toolkit
Jindou Wu, Yunlun Yang, Chao Deng +5
Machine reading comprehension have been intensively studied in recent years, and neural network-based models have shown dominant performances. In this paper, we present a Sogou Mac…