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Adobe-MIT submission to the DSTC 4 Spoken Language Understanding pilot task
May 07, 2016 ยท Declared Dead ยท ๐ arXiv.org
"No code URL or promise found in abstract"
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Authors
Franck Dernoncourt, Ji Young Lee, Trung H. Bui, Hung H. Bui
arXiv ID
1605.02129
Category
cs.CL: Computation & Language
Cross-listed
cs.AI,
cs.LG
Citations
5
Venue
arXiv.org
Last Checked
5 months ago
Abstract
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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