PaperPersiChat: Scientific Paper Discussion Chatbot Using Transformers and Discourse Flow Management

Alexander Chernyavskiy, Max Bregeda, Maria Nikiforova

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PaperPersiChat: Scientific Paper Discussion Chatbot Using Transformers and Discourse Flow Management

Abstract: The rate of scientific publications is increasing exponentially, necessitating a significant investment of time in order to read and comprehend the most important articles. While ancillary services exist to facilitate this process, they are typically closed-model and paid services or have limited capabilities. In this paper, we present \emph{PaperPersiChat}, an open chatbot-system designed for the discussion of scientific papers. This system supports summarization and question-answering modes within a single end-to-end chatbot pipeline, which is guided by discourse analysis. To expedite the development of similar systems, we also release the gathered dataset, which has no publicly available analogues.