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 …

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 …

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 …

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 …

Abstractive dialogue summarization generates a concise and fluent summary covering the
salient information in a dialogue among two or more interlocutors. It has attracted significant …

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 …

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

Event coreference models cluster event mentions pertaining to the same real-world event.
Recent models rely on contextualized representations to recognize coreference among …