Evaluating Word Embeddings for Sentence Boundary Detection in Speech Transcripts

Evaluating Word Embeddings for Sentence Boundary Detection in Speech Transcripts

This paper is motivated by the automation of neuropsychological tests involving discourse analysis in the retellings of narratives by patients with potential cognitive impairment. In this scenario the task of sentence boundary detection in speech transcripts is important as discourse analysis involv...

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Veröffentlicht in:arXiv.org 2017-08
Hauptverfasser: Treviso, Marcos V, Shulby, Christopher D, Aluisio, Sandra M
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Discourse analysis
Natural language processing
Parsers
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description This paper is motivated by the automation of neuropsychological tests involving discourse analysis in the retellings of narratives by patients with potential cognitive impairment. In this scenario the task of sentence boundary detection in speech transcripts is important as discourse analysis involves the application of Natural Language Processing tools, such as taggers and parsers, which depend on the sentence as a processing unit. Our aim in this paper is to verify which embedding induction method works best for the sentence boundary detection task, specifically whether it be those which were proposed to capture semantic, syntactic or morphological similarities.
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Parsers
title Evaluating Word Embeddings for Sentence Boundary Detection in Speech Transcripts
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