Иерархиялық көп тапсырмалы оқыту

method ID: hierarchicalmultitasklearning

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Publication: TIPSTER (2019)

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AbstractAutomatically verifying rumorous information has become an important and challenging task in natural language processing and social media analytics. Previous studies reveal that people’s stances towards rumorous messages can provide …...

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Multi-Task Learning with Language Modeling for Question Generation

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Publication: TIPSTER (2019)

DOI: nan

AbstractThis paper explores the task of answer-aware questions generation. Based on the attention-based pointer generator model, we propose to incorporate an auxiliary task of language modeling to help question generation …...

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Exploring Logically Dependent Multi-task Learning with Causal Inference

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AbstractPrevious studies have shown that hierarchical multi-task learning (MTL) can utilize task dependencies by stacking encoders and outperform democratic MTL. However, stacking encoders only considers the dependencies of feature representations …...

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NTU_NLP at SemEval-2020 Task 12: Identifying Offensive Tweets Using Hierarchical Multi-Task Learning Approach

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Publication: TIPSTER (2020)

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AbstractThis paper presents our hierarchical multi-task learning (HMTL) and multi-task learning (MTL) approaches for improving the text encoder in Sub-tasks A, B, and C of Multilingual Offensive Language Identification in …...

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NeuS: Neutral Multi-News Summarization for Mitigating Framing Bias

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Publication: TIPSTER (2022)

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AbstractMedia news framing bias can increase political polarization and undermine civil society. The need for automatic mitigation methods is therefore growing. We propose a new task, a neutral summary generation …...

21180