38 citations · 84 across the 4 of their papers we have counts for
4 papers
Several Experiments on Investigating Pretraining and Knowledge-Enhanced Models for Natural Language Inference
Tianda Li, Xiaodan Zhu, Quan Liu +3
Natural language inference (NLI) is among the most challenging tasks in natural language understanding. Recent work on unsupervised pretraining that leverages unsupervised signals…
Exploring Unsupervised Pretraining and Sentence Structure Modelling for Winograd Schema Challenge
Yu-Ping Ruan, Xiaodan Zhu, Zhen-Hua Ling +3
Winograd Schema Challenge (WSC) was proposed as an AI-hard problem in testing computers' intelligence on common sense representation and reasoning. This paper presents the new stat…
Recurrent Neural Network-Based Sentence Encoder with Gated Attention for Natural Language Inference
Qian Chen, Xiaodan Zhu, Zhen-Hua Ling +3
The RepEval 2017 Shared Task aims to evaluate natural language understanding models for sentence representation, in which a sentence is represented as a fixed-length vector with ne…
Exploring Question Understanding and Adaptation in Neural-Network-Based Question Answering
Junbei Zhang, Xiaodan Zhu, Qian Chen +3
The last several years have seen intensive interest in exploring neural-network-based models for machine comprehension (MC) and question answering (QA). In this paper, we approach…