Warm-Starting for Improving the Novelty of Abstractive Summarization-Reference-Cited by-同舟云学术

Warm-Starting for Improving the Novelty of Abstractive Summarization

Author:

Alomari Ayham¹^ORCID,Al-Shamayleh Ahmad Sami²^ORCID,Idris Norisma³,Qalid Md Sabri Aznul³^ORCID,Alsmadi Izzat⁴^ORCID,Omary Danah⁵

Affiliation:

1. Department of Computer Science, Faculty of Information Technology, Applied Science Private University, Amman, Jordan

2. Department of Data Science and Artificial Intelligence, Al-Ahliyya Amman University, Amman, Jordan

3. Department of Artificial Intelligence, Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia

4. Department of Computing and Cybersecurity, Texas A&M University-San Antonio, San Antonio, TX, USA

5. Department of Electrical Engineering, University of North Texas, Denton, TX, USA

Funder

Ministry of Higher Education, Malaysia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

Reference48 articles.

2. BERTScore: Evaluating text generation with BERT;zhang;arXiv 1904 09675,2019

5. Improving abstraction in text summarization;kryscinski;Proc Conf Empirical Methods Natural Lang Process,2018

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