The repository contains an implementation of LSTM and Transformer models for generating text based on data from the book Pan Tadeusz. The models learn sequential dependencies in the text and are ...
Abstract: This paper proposes a new method that discovers characteristic sequential patterns in textual data. The data are composed of three kinds of information: time information, attributes, and ...
This work proposes a new natural language processing (NLP) task to tackle the issue of multi-round, sequential text-based knowledge update. A dataset was also created for evaluation and results showed ...