6 citations · 14 across the 4 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…
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…
A Self-Training Method for Machine Reading Comprehension with Soft Evidence Extraction
Yilin Niu, Fangkai Jiao, Mantong Zhou +3
Neural models have achieved great success on machine reading comprehension (MRC), many of which typically consist of two components: an evidence extractor and an answer predictor.…
Robustness to Modification with Shared Words in Paraphrase Identification
Zhouxing Shi, Minlie Huang
Revealing the robustness issues of natural language processing models and improving their robustness is important to their performance under difficult situations. In this paper, we…
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…