Figuratively Speaking: Authorship Attribution via Multi-Task Figurative Language Modeling

GA Katsios, N Sa, T Strzalkowski - arXiv preprint arXiv:2406.08218, 2024 - arxiv.org
The identification of Figurative Language (FL) features in text is crucial for various Natural
Language Processing (NLP) tasks, where understanding of the author's intended meaning …

A Self-verified Method for Exploring Simile Knowledge from Pre-trained Language Models

L Ma, C Ke, S Zhou, C Sun, W Zhang… - Proceedings of the 2024 …, 2024 - aclanthology.org
Simile tasks are challenging in natural language processing (NLP) because models require
adequate world knowledge to produce predictions. In recent years, pre-trained language …

Knowledge-Enhanced Large Language Models and Human-AI Collaboration Frameworks for Creativity Support

T Chakrabarty - 2024 - search.proquest.com
Large language models (LLMs) constitute a paradigm shift in Natural Language Processing
and Artificial Intelligence. In this thesis, I explore the integration of creative capabilities into …

[PDF][PDF] 複数の訓練データを用いた直喩文判別

自見仁太朗, 嶋田和孝 - 研究報告自然言語処理(NL), 2024 - pluto.ai.kyutech.ac.jp
自見仁太朗 t 嶋田 和孝 tt t 九州工業大学大学院情報創成工学専攻〒 820-8502
福岡県飯塚市川津 680-4 tt 九州工業大学大学院情報工学研究院知能情報工学研究系〒 820 …