An Information Bottleneck Approach for Controlling Conciseness in Rationale Extraction

Paranjape Bhargavi
Paranjape Bhargavi
Joshi Mandar
Joshi Mandar
Thickstun John
Thickstun John
Cited by: 0|Bibtex|Views17|Links

Abstract:

Decisions of complex language understanding models can be rationalized by limiting their inputs to a relevant subsequence of the original text. A rationale should be as concise as possible without significantly degrading task performance, but this balance can be difficult to achieve in practice. In this paper, we show that it is possibl...More

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