Figurative language generation (FLG) is the task of reformulating a given text to include a
desired figure of speech, such as a hyperbole, a simile, and several others, while still being …

The scope of this survey paper is to explore the challenges in automatic story generation.
We hope to contribute in the following ways: 1. Explore how previous research in story …

Our goal is a question-answering (QA) system that can show how its answers are implied by
its own internal beliefs via a systematic chain of reasoning. Such a capability would allow …

This study presents a novel approach to enhance Large Language Models (LLMs) like
Alpaca by dynamically integrating real-time information. This method addresses the issue of …

Figurative language is ubiquitous in English. Yet, the vast majority of NLP research focuses
on literal language. Existing text representations by design rely on compositionality, while …

Conceptualization, or viewing entities and situations as instances of abstract concepts in
mind and making inferences based on that, is a vital component in human intelligence for …

In this paper, we propose to leverage the unique characteristics of dialogues sharing
commonsense knowledge across participants, to resolve the difficulties in summarizing …

Pretrained language models have been shown to store knowledge in their parameters and
have achieved reasonable performance in commonsense knowledge base completion …

Mastering commonsense understanding and reasoning is a pivotal skill essential for
conducting engaging conversations. While there have been several attempts to create …

Procedural text understanding is a challenging language reasoning task that requires
models to track entity states across the development of a narrative. A complete procedural …