Search Results for author: Xin Jia

Found 5 papers, 1 papers with code

Enhancing Pre-trained Models with Text Structure Knowledge for Question Generation

no code implementations COLING 2022 Zichen Wu, Xin Jia, Fanyi Qu, Yunfang Wu

Specially, we present localness modeling with a Gaussian bias to enable the model to focus on answer-surrounded context, and propose a mask attention mechanism to make the syntactic structure of input passage accessible in question generation process.

Question Generation Question-Generation

Asking Questions Like Educational Experts: Automatically Generating Question-Answer Pairs on Real-World Examination Data

no code implementations EMNLP 2021 Fanyi Qu, Xin Jia, Yunfang Wu

This paper for the first time addresses the question-answer pair generation task on the real-world examination data, and proposes a new unified framework on RACE.

Question Generation Question-Generation

Enhancing Question Generation with Commonsense Knowledge

no code implementations CCL 2021 Xin Jia, Hao Wang, Dawei Yin, Yunfang Wu

Question generation (QG) is to generate natural and grammatical questions that can be answered by a specific answer for a given context.

Multi-Task Learning Question Generation +2

EQG-RACE: Examination-Type Question Generation

1 code implementation11 Dec 2020 Xin Jia, Wenjie Zhou, Xu sun, Yunfang Wu

Question Generation (QG) is an essential component of the automatic intelligent tutoring systems, which aims to generate high-quality questions for facilitating the reading practice and assessments.

Question Generation Question-Generation +2

How to Ask Good Questions? Try to Leverage Paraphrases

no code implementations ACL 2020 Xin Jia, Wenjie Zhou, Xu sun, Yunfang Wu

Given a sentence and its relevant answer, how to ask good questions is a challenging task, which has many real applications.

Multi-Task Learning Paraphrase Generation +4

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