SemEval-2020 task 4: Commonsense validation and explanation

C Wang, S Liang, Y Jin, Y Wang, X Zhu… - arXiv preprint arXiv …, 2020 - arxiv.org
In this paper, we present SemEval-2020 Task 4, Commonsense Validation and Explanation
(ComVE), which includes three subtasks, aiming to evaluate whether a system can …

A bag of tricks for dialogue summarization

M Khalifa, M Ballesteros, K McKeown - arXiv preprint arXiv:2109.08232, 2021 - arxiv.org
Dialogue summarization comes with its own peculiar challenges as opposed to news or
scientific articles summarization. In this work, we explore four different challenges of the task …

Unsupervised explanation generation via correct instantiations

S Cheng, Z Wu, J Chen, Z Li, Y Liu… - Proceedings of the AAAI …, 2023 - ojs.aaai.org
While large pre-trained language models (PLM) have shown their great skills at solving
discriminative tasks, a significant gap remains when compared with humans for explanation …

[图书][B] Building bridges. Reconstructing implicit information in argumentative texts using commonsense knowledge

M Becker - 2024 - ids-pub.bsz-bw.de
In many argumentative texts a substantial amount of knowledge remains implicit. This
implicit knowledge is often crucial for a deep understanding and correct interpretation of …

[引用][C] Multi-target sequence analysis with a transformer

M Lukashchuk