IFAN: An explainability-focused interaction framework for humans and NLP models

[PDF] arxiv.org

InterroLang: Exploring NLP models and datasets through dialogue-based explanations

N Feldhus, Q Wang, T Anikina, S Chopra… - arXiv preprint arXiv …, 2023 - arxiv.org
While recently developed NLP explainability methods let us open the black box in various
ways (Madsen et al., 2022), a missing ingredient in this endeavor is an interactive tool …
被引用次数：6 相关文章 所有 5 个版本
[PDF] aclanthology.org

INTELMO: Enhancing Models' Adoption of Interactive Interfaces

C Yang, CS Wu, L Murakhovs'ka… - Proceedings of the …, 2023 - aclanthology.org
This paper presents INTELMO, an easy-to-use library to help model developers adopt user-
faced interactive interfaces and articles from real-time RSS sources for their language …
被引用次数：1 相关文章
[PDF] hal.science

PEACE: Providing Explanations and Analysis for Combating Hate Expressions

G Damo, NB Ocampo, E Cabrio, S Villata - 27th European Conference …, 2024 - hal.science
The increasing presence of hate speech (HS) on social media poses significant societal
challenges. While efforts in the Natural Language Processing community have focused on …
相关文章 所有 3 个版本