Short Answer Detection for Open Questions: A Sequence Labeling Approach with Deep Learning Models

Short Answer Detection for Open Questions: A Sequence Labeling Approach with Deep Learning Models

Evaluating the response to open questions is a complex process since it requires prior knowledge of a specific topic and language. The computational challenge is to analyze the text by learning from a set of correct examples to train a model and then predict unseen cases. Thus, we will be able to ca...

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Bibliographic Details
Main Authors: Samuel González-López, Zeltzyn Guadalupe Montes-Rosales, Adrián Pastor López-Monroy, Aurelio López-López, Jesús Miguel García-Gorrostieta
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Mathematics
Subjects:
question answering
open questions
academic document analysis
sequence labeling
deep learning
Online Access:https://www.mdpi.com/2227-7390/10/13/2259

Internet

https://www.mdpi.com/2227-7390/10/13/2259

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