Answer Type Prediction: Unveiling the Power of Deep Learning Models-Reference-Cited by-同舟云学术

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Answer Type Prediction: Unveiling the Power of Deep Learning Models

Published:2023-11-24 Issue: Volume:3119 Page:1-6
ISSN:
Container-title:2023 2nd International Conference on Futuristic Technologies (INCOFT)
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Author:

Swathi B.P.¹,Geetha M.²,Shenoy Manjula¹,Suhas M.V.³

Affiliation:

1. Manipal Institute of Technology,Manipal Academy of Higher Education,Department of Information & Communication Technology,Manipal,India

2. Manipal Institute of Technology,Manipal Academy of Higher Education,Department of Computer Science and Engineering,Manipal,India

3. Manipal Institute of Technology,Manipal Academy of Higher Education,Department of Electronics and Communication Engineering,Manipal,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10424959/10424987/10425450.pdf?arnumber=10425450

Reference13 articles.

1. Improving Question Answering Quality Through Language Feature-Based SPARQL Query Candidate Validation

2. A CLSTM neural network for text classification;Zhou;arXiv preprint,2015

3. Semantic answer type prediction using bert: Iai at the iswc smart task 2020;Setty;arXiv preprint,2021

4. Co-Attention Network With Question Type for Visual Question Answering

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