Publishing Partner: Cambridge University Press CUP Extra Publisher Login
amazon logo
More Info


New from Oxford University Press!

ad

Words in Time and Place: Exploring Language Through the Historical Thesaurus of the Oxford English Dictionary

By David Crystal

Offers a unique view of the English language and its development, and includes witty commentary and anecdotes along the way.


New from Cambridge University Press!

ad

The Indo-European Controversy: Facts and Fallacies in Historical Linguistics

By Asya Pereltsvaig and Martin W. Lewis

This book "asserts that the origin and spread of languages must be examined primarily through the time-tested techniques of linguistic analysis, rather than those of evolutionary biology" and "defends traditional practices in historical linguistics while remaining open to new techniques, including computational methods" and "will appeal to readers interested in world history and world geography."


Academic Paper


Title: Estimating the number of segments for improving dialogue act labelling
Author: Vicent Tamarit
Institution: Universidad Politécnica de Valencia
Author: Carlos-D. Martínez-Hinarejos
Institution: Universidad Politécnica de Valencia
Author: José-Miguel Benedí
Institution: Universidad Politécnica de Valencia
Linguistic Field: Computational Linguistics; Text/Corpus Linguistics
Abstract: In dialogue systems it is important to label the dialogue turns with dialogue-related meaning. Each turn is usually divided into segments and these segments are labelled with dialogue acts (DAs). A DA is a representation of the functional role of the segment. Each segment is labelled with one DA, representing its role in the ongoing discourse. The sequence of DAs given a dialogue turn is used by the dialogue manager to understand the turn. Probabilistic models that perform DA labelling can be used on segmented or unsegmented turns. The last option is more likely for a practical dialogue system, but it provides poorer results. In that case, a hypothesis for the number of segments can be provided to improve the results. We propose some methods to estimate the probability of the number of segments based on the transcription of the turn. The new labelling model includes the estimation of the probability of the number of segments in the turn. We tested this new approach with two different dialogue corpora: Switchboard and Dihana . The results show that this inclusion significantly improves the labelling accuracy.

CUP AT LINGUIST

This article appears IN Natural Language Engineering Vol. 18, Issue 1, which you can READ on Cambridge's site .



Add a new paper
Return to Academic Papers main page
Return to Directory of Linguists main page