English

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

Computation and Language 2016-05-10 v1 Artificial Intelligence Machine Learning

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.

Keywords

Cite

@article{arxiv.1605.02129,
  title  = {Adobe-MIT submission to the DSTC 4 Spoken Language Understanding pilot task},
  author = {Franck Dernoncourt and Ji Young Lee and Trung H. Bui and Hung H. Bui},
  journal= {arXiv preprint arXiv:1605.02129},
  year   = {2016}
}

Comments

Paper accepted at IWSDS 2016

R2 v1 2026-06-22T13:55:20.058Z