Reasoning is a fundamental aspect of human intelligence that plays a crucial role in
activities such as problem solving, decision making, and critical thinking. In recent years …

Large language models (LLMs) such as GPT-4 are very powerful and can process different
kinds of natural language processing (NLP) tasks. However, it can be difficult to interpret the …

In this paper, we propose DimonGen, which aims to generate diverse sentences describing
concept relationships in various everyday scenarios. To support this, we first create a …

Entity-relation extraction is the essential information extraction task and can be decomposed
into Named Entity Recognition (NER) and Relation Extraction (RE) subtasks. This paper …

We present a novel system that automatically extracts and generates informative and
descriptive sentences from the biomedical corpus and facilitates the efficient search for …

We propose and study Complementary Concept Generation (CCGen): given a concept of
interest, eg," Digital Cameras", generating a list of complementary concepts, eg, 1) Camera …

Many applications need access to background knowledge about how different concepts and
entities are related. Although Knowledge Graphs (KG) and Large Language Models (LLM) …

Entities and relationships between entities are vital in the real world. Essentially, we
understand the world by understanding entities and relations. For instance, to understand a …

Relational knowledge is the ability to recognize the relationship between instances, and it
has an important role in human understanding a concept or commonsense reasoning. We …

Abstract We propose DEER (Descriptive Knowledge Graph for Explaining Entity
Relationships)–an open and informative form of modeling entity relationships. In DEER …