Papers with MLF

2 papers
Multi-Scale Distribution Deep Variational Autoencoder for Explanation Generation (2022.findings-acl)

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Challenge: Existing methods for generating explanations for recommender systems produce generic explanations that fail to incorporate user and item specific details.
Approach: They propose a multi-scale distribution deepvariational autoencoder with a prior network that eliminates noise while retaining meaningful signals in the input.
Outcome: The proposed models can generate explanations with concrete input-specific contents.
Methods of Automatic Matrix Language Determination for Code-Switched Speech (2024.emnlp-main)

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Challenge: Code-switching (CS) is the process of speakers switching between two or more languages in spoken or written language.
Approach: They propose to use the Matrix Language Frame theory to describe CS speech . they compare MLID of English/Mandarin and English/Spanish CS to acoustic language identity .
Outcome: The proposed models outperform monolingual models in acoustic language identity recognition tasks.

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