A Graph-to-Sequence Learning Framework for Summarizing Opinionated Texts

Author:

Wei PenghuiORCID,Zhao Jiahao,Mao WenjiORCID

Funder

National Natural Science Foundation of China

Ministry of Science and Technology of China

Beijing Municipal Science and Technology Commission

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Acoustics and Ultrasonics,Computer Science (miscellaneous),Computational Mathematics

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1. Sentence-level sentiment classification based on multi-attention bidirectional gated spiking neural P systems;Applied Soft Computing;2024-02

2. KGCDP-T: Interpreting knowledge graphs into text by content ordering and dynamic planning with three-level reconstruction;Knowledge-Based Systems;2024-01

3. Over comparative study of text summarization techniques based on graph neural networks;Web Intelligence;2023-06-22

4. Abstractive Financial News Summarization via Transformer-BiLSTM Encoder and Graph Attention-Based Decoder;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2023

5. Beyond Opinion Mining;Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval;2022-07-06

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