Useful phrases

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Automatically Selecting Useful Phrases for Dialogue Act Tagging

We present an empirical investigation of various ways to automatically identify phrases in a tagged corpus that are useful for dialogue act tagging. We found that a new method (which measures a phrase’s deviation from an optimally-predictive phrase), enhanced with a lexical filtering mechanism, produces significantly better cues than manually-selected cue phrases, the exhaustive set of phrases ...

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Challenges for Discontiguous Phrase Extraction

Suggestions are made as to how phrase extraction algorithms should be adapted to handle gapped phrases. Such variable phrases are useful for many purposes, including the characterization of learner texts. The basic problem is that there is a combinatorial explosion of such phrases. Any reasonable program must start by putting the exponentially many phrases into equivalence classes (Yamamoto and...

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An Analysis of Statistical and Syntactic Phrases

As the amount of textual information available through the World Wide Web grows, there is a growing need for high-precision IR systems that enable a user to nd useful information from the masses of available textual data. Phrases have traditionally been regarded as precision-enhancing devices and have proved useful as content-identiiers in representing documents. In this study, we compare the u...

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Automatic Extraction of Cue Phrases for Cross-Corpus Dialogue Act Classification

In this paper, we present an investigation into the use of cue phrases as a basis for dialogue act classification. We define what we mean by cue phrases, and describe how we extract them from a manually labelled corpus of dialogue. We describe one method of evaluating the usefulness of such cue phrases, by applying them directly as a classifier to unseen utterances. Once we have extracted cue p...

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Dialogue Act Recognition using Cue Phrases

Dialogue acts play an important role in modelling discourse phenomena in several components of modern dialogue systems. Many different features have been so far proposed for dialogue act recognition. In this report, we take a cue-based model approach, and use N grams in utterances in dialogue as cue phrases. In our experiment with the switchboard corpus, we obtained 57.1% classification accurac...

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تاریخ انتشار 2013