A Performance Analysis of Deep-Learning-Based Thai News Abstractive Summarization: Word Positions and Document Length-Reference-Cited by-同舟云学术

A Performance Analysis of Deep-Learning-Based Thai News Abstractive Summarization: Word Positions and Document Length

Published:2022-05-19 Issue: Volume: Page:
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Container-title:2022 7th International Conference on Business and Industrial Research (ICBIR)
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Author:

Jumpathong Sawittree¹,Theeramunkong Thanaruk¹,Supnithi Thepchai²,Okumura Manabu³

Affiliation:

1. Thammasat University,School of ICT,SIIT,Pathum Thani,Thailand

2. National Electronics and Computer Technology Center,Artificial Intelligence Research Group,Pathum Thani,Thailand

3. Tokyo Institute of Technology,Dept. of Information and Communications Engineering,Tokyo,Japan

Funder

National Science and Technology Development Agency

Tokyo Institute of Technology

Thammasat University

Publisher

IEEE

Link

Reference16 articles.

3. TR-TPBS Dataset;chumpolsathien,2020

4. Thai word and sentence segmentation NueSwath API,0

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2. ThEconSum: an Economics-domained Dataset for Thai Text Summarization and Baseline Models;2022 17th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP);2022-11-05