Papers with classifier models

3 papers
Classifying Sluice Occurrences in Dialogue (L18-1)

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Challenge: Ellipsis is an important challenge for natural language processing systems, says a new paper . previous work on ellipsis focused on news data, but sluicing presents a challenge for dialogue systems .
Approach: They describe a corpus of 4100 sluice occurrences from the NYTimes Gigaword corpus . they build a classifier model to automatically classify slujce .
Outcome: The proposed corpus contains 4100 sluice occurrences, with an accuracy of 67% . the work will support empirical research into slujcing in dialogue systems .
AccentDB: A Database of Non-Native English Accents to Assist Neural Speech Recognition (2020.lrec-1)

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Challenge: aaron e. sanchez and joe saunders: automatic speech recognition still faces a major challenge . they say accents are a way of pronouncing a language, and speakers always have manner of speaking . esassen: accents can be used to identify non-native speakers of a speech .
Approach: They propose to create a database of speech samples in non-native accents for ASR testing . they also propose to introduce accent neutralization of non- native accents to native accent .
Outcome: The proposed model is compared against human-labelled accent classes and is generalized against human data.
Lexical Tone Recognition in Mizo using Acoustic-Prosodic Features (2020.lrec-1)

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Challenge: Mizo is an under-studied Tibeto-Burman tonal language of the Northeast of India.
Approach: They propose to use acoustic-prosodic parameters to automatically recognize four phonological tones in Mizo using a set of features computed from Fundamental Frequency contours.
Outcome: The proposed model performs better than the existing classifiers in recognizing four phonological tones in Mizo using acoustic-prosodic parameters.

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