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Summarization, Simplification, and Generation: The Case of Patents
[article]
2021
arXiv
pre-print
We survey Natural Language Processing (NLP) approaches to summarizing, simplifying, and generating patents' text. While solving these tasks has important practical applications - given patents' centrality in the R&D process - patents' idiosyncrasies open peculiar challenges to the current NLP state of the art. This survey aims at a) describing patents' characteristics and the questions they raise to the current NLP systems, b) critically presenting previous work and its evolution, and c)
arXiv:2104.14860v1
fatcat:nc3v6wyimzcblkmdu2da37isiu