arXiv:1605.02129

Adobe-MIT submission to the DSTC 4 Spoken Language Understanding pilot task

Published on May 7, 2016

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Authors:

Franck Dernoncourt ,

Trung H. Bui ,

Abstract

The paper evaluates various classifiers for speech act recognition and semantic tagging in a spoken language understanding task from DSTC 4, achieving F1-scores of 0.52 and 0.67 for speech acts, and 0.52 for semantic slots for both roles.

AI-generated summary

The Dialog State Tracking Challenge 4 (DSTC 4) proposes several pilot tasks. In this paper, we focus on the spoken language understanding pilot task, which consists of tagging a given utterance with speech acts and semantic slots. We compare different classifiers: the best system obtains 0.52 and 0.67 F1-scores on the test set for speech act recognition for the tourist and the guide respectively, and 0.52 F1-score for semantic tagging for both the guide and the tourist.

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