Narrative understanding involves capturing the author's cognitive processes, providing
insights into their knowledge, intentions, beliefs, and desires. Although large language …

Narratives are present in many forms of human expression and can be understood as a
fundamental way of communication between people. Computational understanding of the …

The objective of this study is to position speculative fiction as a broader framework to
stimulate, facilitate, and study engineering design ideation. For this, we first present a …

This paper presents a novel knowledge graph question answering (KGQA) system for
chemistry, which is implemented on hybrid knowledge graph embeddings, aiming to provide …

We argue that external commonsense knowledge and linguistic constraints need to be
incorporated into neural network models for mitigating data sparsity issues and further …

A principal barrier to training temporal relation extraction models in new domains is the lack
of varied, high quality examples and the challenge of collecting more. We present a method …

Video moment retrieval locates a specified moment by a sentence query. Recent
approaches have made remarkable advancements with large-scale video-sentence …

Models of narrative schema knowledge have proven useful for a range of event-related
tasks, but they typically do not capture the temporal relationships between events. We …

Story detection in online communities is a challenging task as stories are scattered across
communities and interwoven with non-storytelling spans within a single text. We address this …

Journalists usually organize and present the contents of a news article following a well-
defined structure. In this work, we propose a new task to categorize news articles based on …