Papers with support vector machine

2 papers
Estimating User Communication Styles for Spoken Dialogue Systems (2020.lrec-1)

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Challenge: a neural network estimation system for spoken dialogues can be used to estimate the communication style of a user's interaction, but this is rarely implemented in a live system.
Approach: They propose a neural network approach to estimate the communication style of spoken interaction, namely elaborateness and directness.
Outcome: The proposed method can estimate the elaborateness and directness of spoken interaction and improve the results with additional linguistic features.
Simplified Abugidas (P18-2)

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Challenge: Abugidas are writing systems where consonant letters represent syllables with a default vowel and other vowels are denoted by diacritics.
Approach: They investigated the feasibility of recovering the original text written in an abugida after omitting subordinate diacritics and merging consonant letters with similar phonetic values.
Outcome: The proposed method recovers the original text written in an abugida with 94% - 97% accuracy at the top-1 level and 98% - 99% at the bottom-4 level even after omitting most diacritics and merging the remaining 30 - 50 characters into 21 graphemes.

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