Sentence Identification

Sentence identification, the task of accurately delimiting sentences within text, is crucial for various natural language processing applications. Current research focuses on improving accuracy, particularly in handling complex real-world texts containing non-sentential units and noisy audio, employing techniques like dynamic programming for label combination and multi-class classification with tailored loss functions for improved performance. This work is significant for enhancing the reliability of downstream NLP tasks, such as information extraction and summarization, and improving speech processing in diverse languages by addressing challenges like noise reduction.