Sentence Context

Sentence context research aims to understand how the surrounding words and sentences influence meaning and processing, impacting tasks like comprehension, question answering, and summarization. Current work focuses on developing computational metrics, often leveraging large language models, to predict human sentence processing and incorporating contextual information into models for improved performance on various natural language processing tasks. This research is crucial for advancing natural language understanding, enabling more accurate and robust applications in areas such as machine translation, dialogue systems, and recommender systems. The development of more sophisticated models that effectively utilize sentence context promises to significantly improve the performance and interpretability of these applications.