VS3‐NET: Neural variational inference model for machine‐reading comprehension

We propose the VS3‐NET model to solve the task of question answering questions with machine‐reading comprehension that searches for an appropriate answer in a given context. VS3‐NET is a model that trains latent variables for each question using variational inferences based on a model of a simple re...

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Bibliographic Details
Main Authors: Cheoneum Park, Changki Lee, Heejun Song
Format: Article
Language:English
Published: Electronics and Telecommunications Research Institute (ETRI) 2019-07-01
Series:ETRI Journal
Subjects:
Online Access:https://doi.org/10.4218/etrij.2018-0467