Discriminative Learning over Constrained Latent Representations

Abstract

This paper proposes a general learning framework for a class of problems that require learning over latent intermediate representations. Many natural language processing (NLP) decision problems are defined over an expressive intermediate representation that is not explicit in the input, leaving the algorithm with both the task of recovering a good… (More)
View Slides

Topics

5 Figures and Tables

Statistics

0510152009201020112012201320142015201620172018
Citations per Year

68 Citations

Semantic Scholar estimates that this publication has 68 citations based on the available data.

See our FAQ for additional information.

Slides referencing similar topics