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Jan 30, 2023 · As most of the work in automatic question generation is utilizing neural-based systems, authors have extended this approach and have created a model based on deep reinforcement learning for question generation. The authors have used an end-to-end model which uses a generator and an evaluator.
Mar 1, 2023 · Deep question generation (DQG) refers to generating a complex question from different sentences in context. Existing methods mainly focus on enhancing information extraction based on the encoder–decoder neural networks though they cannot perform well in DQG tasks. To address this issue, we consider combining reinforcement learning with ...
Aug 15, 2018 · In this paper, we present a novel deep reinforcement learning based framework for automatic question generation. The generator of the framework is a sequence-to-sequence model, enhanced with the copy mechanism to handle the rare-words problem and the coverage mechanism to solve the word repetition problem.
- Vishwajeet Kumar, Ganesh Ramakrishnan, Yuan-Fang Li
- arXiv:1808.04961 [cs.CL]
- 2018
- Computation and Language (cs.CL)
Jan 30, 2023 · Kumar, V., Ramakrishnan, G., Li, Y.-F.: A framework for automatic question generation from text using deep reinforcement learning. In: arXiv. 2019 IJCAI Workshop SCAI: The 4th International Workshop on Search-Oriented Conversational AI (2018)
Oct 31, 2024 · Deep question generation (DQG) aims to generate complex questions through reasoning over multiple documents. The task is challenging and underexplored. Existing methods mainly focus on enhancing document representations, with little attention paid to the answer information, which may result in the generated question not matching the answer type ...
- Liuyin Wang, Zihan Xu, Zibo Lin, Haitao Zheng, Ying Shen
- 2020
Sep 8, 2021 · Abstract. Question generation is an important yet challenging problem in Artificial Intelligence (AI), which aims to generate natural and relevant questions from various input formats, e.g., natural language text, structure database, knowledge base, and image. In this article, we focus on question generation from natural language text, which ...
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Sep 27, 2024 · Deep question generation is an important yet challenging NLP task where a multi-step reasoning chain connecting multiple documents is required to answer the questions. In this paper, we propose a Relation-aware Transformer with Reinforcement Learning (RTRL) to improve the performance of deep question generation.
