Generative Knowledge Graph Construction (KGC) refers to those methods that leverage the
sequence-to-sequence framework for building knowledge graphs, which is flexible and can …

Arguments often do not make explicit how a conclusion follows from its premises. To
compensate for this lack, we enrich arguments with structured background knowledge to …

Online resources such as WikiHow compile a wide range of scripts for performing everyday
tasks, which can assist models in learning to reason about procedures. However, the scripts …

In task-oriented dialogue systems, Dialogue State Tracking (DST) aims to extract users'
intentions from the dialogue history. Currently, most existing approaches suffer from error …

Graph learning is a prevalent domain that endeavors to learn the intricate relationships
among nodes and the topological structure of graphs. Over the years, graph learning has …

The generation of explanation graphs is a significant task that aims to produce explanation
graphs in response to user input, revealing the internal reasoning process. This task is …

Semi-structured explanation depicts the implicit process of a reasoner with an explicit
representation. This explanation highlights how available information in a specific query is …

NLP has seen tremendous advances in the last few years. For these advances to translate
into trustworthy deployments in practice, we want them to be explainable and reliable. A key …