Aug 30, 2019 · Abstract:This paper explores the task of answer-aware questions generation. Based on the attention-based pointer generator model, ...
This paper explores the task of answer-aware questions generation. Based on the attention-based pointer generator model, we propose to incorporate an auxiliary ...
Aug 30, 2019 · This paper proposes to incorporate an auxiliary task of language modeling to help question generation in a hierarchical multi-task learning ...
Aug 30, 2019 · Although language modeling has been applied to multi-task learning for classification tasks, they are different from our generation task. In ...
Dec 1, 2023 · In this paper, we propose a Multi-Task Learning (MTL) approach that uses a text generation model for both question rewriting and classification.
• Train single question answering model for multiple NLP tasks (aka questions). • Framework for tackling. • more general language understanding. • multitask ...
Jul 25, 2024 · In this article, we give an overview of the use of MTL in NLP tasks. We first review MTL architectures used in NLP tasks and categorize them into four classes.
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May 26, 2023 · In this study, we propose a multi-task learning technique that includes a temporal relation extraction task in the training process of NLU tasks.
Missing: Generation. | Show results with:Generation.
The multi-task model utilizes a shared encoder to process inputs for both question and answer generation, enabling mutual learning and synergy between these ...
Feb 14, 2022 · It allows the application of the same model, objective, training procedure, and decoding process to every common NLP task.(including translation ...