Introduction to Special Issue on Advances in Question Answering (original) (raw)

This special issue focuses on advances in question answering, specifically in the areas of opinion and emotion recognition and temporal expression identification. It presents four articles that explore the complexities of annotating these facets within natural language texts, emphasizing the importance of temporal closure for enhancing the quality of question answering systems. The contributions aim to provoke further discourse and advancements in developing intelligent question answering technologies.