Technique sheds light on inner workings of neural nets trained to process language

At the 2017 Conference on Empirical Methods on Natural Language Processing starting this week, researchers from MIT's Computer Science and Artificial Intelligence Laboratory are presenting a new general-purpose technique for making sense of neural networks that are trained to perform natural-language-processing tasks, in which computers attempt to interpret freeform texts written in ordinary, or 'natural,' language (as opposed to a structured language, such as a database-query language).

Technique sheds light on inner workings of neural nets trained to process language

Artificial-intelligence research has been transformed by machine-learning systems called neural networks, which learn how to perform tasks by analyzing huge volumes of training data.

Mon 11 Sep 17 from TechXplore

How neural networks think, Mon 11 Sep 17 from Science Blog

Study clarifies how neural nets 'think' when processing language

A new general-purpose technique has been developed for making sense of neural networks that are trained to perform natural-language-processing tasks, in which computers attempt to interpret ...

Mon 11 Sep 17 from ScienceDaily

Study clarifies how neural nets 'think' when processing language, Mon 11 Sep 17 from Eurekalert

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