Simone Manni
Scientific Papers Slide Generation using Abstractive Text Summarization.
Rel. Luca Cagliero, Moreno La Quatra. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2021
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Abstract
Slides-based presentations are increasingly important in scientific dissemination as they incorporate several useful information for publication understanding. They usually contains short summaries of the main paper contributions and cover all the sections of the original publication. Manually generating slides content, however, is an expensive task. Recent advancements in machine learning and artificial intelligence allowed the creation of automatic systems that aims at generating summaries from scientific articles. Those summaries can be used to reduce the amount of content that requires manual analysis. Limited research efforts have been devoted to the scope of generating presentation slides from document. Indeed, this task faces the scarcity of publicly available material for benchmarking.
This master thesis proposes a new dataset, APPreD, consisting of pairs of papers and their corresponding presentation slides crawled from ACL online anthology
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