Meaning Representation for Natural Language Understanding - Mariana Romanyshyn | - ODSC Europe 2019

There have been many attempts to represent the meaning of the text in the history of natural language processing. A good solution to this problem could spur the research of question answering systems, text summarization, text simplification, etc. One of the recent advances is abstract meaning representation, or AMR. In this talk, we will discuss the algorithms of building AMR graphs and NLP applications that can benefit from these graphs.

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