Text Sequence

Text sequence processing focuses on effectively analyzing and manipulating sequences of words, addressing challenges posed by variable lengths and complex structures within the text. Current research emphasizes developing models that handle long sequences, often employing transformer architectures with modifications like blockwise attention or parallel context windows to overcome computational limitations. This work is crucial for advancing numerous applications, including natural language generation, machine translation, document understanding, and information retrieval, by enabling more accurate and efficient processing of diverse textual data.