Inter Sentential

Inter-sentential analysis focuses on understanding relationships and coherence between sentences within a text, aiming to improve various natural language processing tasks. Current research emphasizes enhancing model architectures, such as transformer-based models and those incorporating discourse dependency structures, to better capture inter-sentential coherence and address issues like redundancy and topical consistency. This work is crucial for improving the performance of applications such as summarization, topic segmentation, and event extraction, ultimately leading to more accurate and robust natural language understanding systems.