Publication

Dimensionality of Dialogue Act Tagsets: An Empirical Analysis of Large Corpora

Andrei Popescu-Belis
2008
Journal Articles

Abstract

This article compares one-dimensional and multi-dimensional dialogue act tagsets used for automatic labeling of utterances. The influence of tagset dimensionality on tagging accuracy is first discussed theoretically, then based on empirical data from human and automatic annotations of large scale resources, using four existing tagsets: DAMSL, SWBD-DAMSL, ICSI-MRDA and MALTUS. The Dominant Function Approximation proposes that automatic dialogue act taggers could focus initially on finding the main dialogue function of each utterance, which is empirically acceptable and has significant practical relevance.

Official source

https://infoscience.epfl.ch/entities/publication/410148ba-e054-4b82-93cb-e75fade4e420

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Andrei Popescu-Belis
2008
Journal Articles

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/410148ba-e054-4b82-93cb-e75fade4e420

About this result

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Text mining, text data mining (TDM) or text analytics is the process of deriving high-quality information from text. It involves "the discovery by computer of new, previously unknown information, by automatically extracting information from different written resources." Written resources may include websites, books, emails, reviews, and articles. High-quality information is typically obtained by devising patterns and trends by means such as statistical pattern learning. According to Hotho et al.

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