Argumentation mining of Chinese online reviews with pre-training and pointer networks

Xianyu Bo; Mingming Mao

doi:10.1117/12.2685349

21 July 2023 Argumentation mining of Chinese online reviews with pre-training and pointer networks

Xianyu Bo, Mingming Mao

Proceedings Volume 12717, 3rd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2023); 127173D (2023) https://doi.org/10.1117/12.2685349
Event: 3rd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2023), 2023, Wuhan, China

Abstract

The Internet has generated a large amount of unstructured online texts that contain a large amount of argumentative content. How to automatically extract the argumentative contents from these online texts is an important issue. First, a corpus of argumentation about Chinese online current affairs reviews is built. The existing argumentation annotation scheme is also modified by adding two additional types of elements, "central conclusion" and "intermediate conclusion", and their corresponding argumentation relations to reflect the more complex structure of the long review texts. The pre-trained large models are used to identify and classify the argumentative elements in these texts. Then, the penultimate hidden state of the best model is used as the input of the pointer network for argumentative elements relationship identification. The experimental results display that the "pre-trained large model + pointer network" model improves the performance of the existing models.

Citation Download Citation

Xianyu Bo and Mingming Mao "Argumentation mining of Chinese online reviews with pre-training and pointer networks", Proc. SPIE 12717, 3rd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2023), 127173D (21 July 2023); https://doi.org/10.1117/12.2685349

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