TransCP: A Transformer Pointer Network for Generic Entity Description Generation With Explicit Content-Planning-Reference-Cited by-同舟云学术

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TransCP: A Transformer Pointer Network for Generic Entity Description Generation With Explicit Content-Planning

Published:2023-12-01 Issue:12 Volume:35 Page:13070-13082
ISSN:1041-4347
Container-title:IEEE Transactions on Knowledge and Data Engineering
language:
Short-container-title:IEEE Trans. Knowl. Data Eng.

Author:

Trisedya Bayu Distiawan¹^ORCID,Qi Jianzhong²^ORCID,Zheng Haitao³^ORCID,Salim Flora D.⁴^ORCID,Zhang Rui⁵^ORCID

Affiliation:

1. Universitas Indonesia, Depok, Jawa Barat, Indonesia

2. University of Melbourne, Melbourne, VIC, Australia

3. Tsinghua University, Beijing, China

4. University of New South Wales (UNSW) Sydney, Sydney, NSW, Australia

5. Department of Computer Science, Tsinghua University Graduate School at Shengzhen, Shenzhen, Guang Dong, China

Funder

Australian Research Council

National Natural Science Foundation of China

Basic Research Fund of Shenzhen City

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Computer Science Applications,Information Systems

Link

http://xplorestaging.ieee.org/ielx7/69/10311056/10114565.pdf?arnumber=10114565

Reference49 articles.

1. A Theoretical Analysis of the Repetition Problem in Text Generation

2. Few-Shot Named Entity Recognition via Meta-Learning

3. Hierarchical Encoder with Auxiliary Supervision for Neural Table-to-Text Generation: Learning Better Representation for Tables

4. Table-to-Text Generation by Structure-Aware Seq2seq Learning

5. Neural Relation Extraction for Knowledge Base Enrichment

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