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94 - Decompositional Semantics, with Aaron White episode artwork

EPISODE · Sep 30, 2019 · 27 MIN

94 - Decompositional Semantics, with Aaron White

from NLP Highlights · host Allen Institute for Artificial Intelligence

In this episode, Aaron White tells us about the decompositional semantics initiative (Decomp), an attempt to re-think the prototypical approach to semantic representation and annotation. The basic idea is to decompose complex semantic classes such as ‘agent’ and ‘patient’ into simpler semantic properties such as ‘causation’ and ‘volition’, while embracing the uncertainty inherent in language by allowing annotators to choose answers such as ‘probably’ or ‘probably not’. In order to scale the collection of labeled data, each property is annotated by asking crowd workers intuitive questions about phrases in a given sentence. Aaron White's homepage: http://aaronstevenwhite.io/ Decomp initiative page: http://decomp.io/

Episode metadata supplied by the publisher feed · Published Sep 30, 2019

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94 - Decompositional Semantics, with Aaron White

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