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Recognizing Functional Pragmatics in Chinese Discourses on Enhancing Paragraph Representation and Deep Differential Amplifier

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Advanced Intelligent Computing Technology and Applications (ICIC 2023)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 14089))

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Abstract

Discourse functional pragmatics recognition focuses on identifying the functions of discourse paragraphs, which is a significant research direction in natural language processing. To obtain better paragraph representation and alleviate the issue of imbalanced data distribution, we propose a Chinese discourse Functional Pragmatics Recognition model (FPR) based on enhancing paragraph representation and deep differential amplifier. More specifically, we first combine two different encoding methods to obtain paragraph encoding which contains much richer word-level information. And then we apply a deep differential amplifier to amplify the difference between paragraphs, which consists of residual structure and iterative structures. Additionally, we give more attention to the minority classes by adjusting the weights of the minority and majority classes in the objected function. Experimental results on MCDTB 2.0 show that our model FPR outperforms the state-of-the-art models.

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Acknowledgements

The authors would like to thank the three anonymous reviewers for their comments on this paper. This research was supported by the National Natural Science Foundation of China (Nos. 62276177, and 61836007), and Project Funded by the Priority Aca-demic Program Development of Jiangsu Higher Education Institutions (PAPD).

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Correspondence to Qiaoming Zhu .

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A Example of News Report

A Example of News Report

Below is the article (chtb_0010) corresponding to the structure tree shown in Fig. 1.

P1: The Export-Import Bank of China recently obtained a bond credit rating of AA- in Japan, which is the highest bond rating for a Chinese bank in the current Japanese financial market.

P2: Japan Credit Rating Agency has determined the credit rating of bonds issued by the Export-Import Bank of China as AA-, consistent with its internal rating of China’s sovereign credit rating.

P3: In October of last year, the Export-Import Bank of China hired Nomura Securities as a consultant to formally apply for a credit rating from Japan Credit Rating Agency, a well-known rating agency in Japan.

P4: The Export-Import Bank of China decided to obtain a credit rating in Japan first in preparation for entering the international capital market and expanding its funding sources to support the export of Chinese mechanical and electrical products and complete sets of equipment.

P5: The Export-Import Bank of China provided a comprehensive introduction to the Japan Credit Rating Agency on the financial system reform in China this year, the background of the bank’s establishment, its management and operational mechanisms, the current status of its business development, and its future development goals through written introductions and on-site inspections. This helped the agency gain a deeper understanding of the Export-Import Bank of China.

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Lu, Y., Fan, Y., Li, P., Chu, X., Zhu, Q. (2023). Recognizing Functional Pragmatics in Chinese Discourses on Enhancing Paragraph Representation and Deep Differential Amplifier. In: Huang, DS., Premaratne, P., Jin, B., Qu, B., Jo, KH., Hussain, A. (eds) Advanced Intelligent Computing Technology and Applications. ICIC 2023. Lecture Notes in Computer Science(), vol 14089. Springer, Singapore. https://doi.org/10.1007/978-981-99-4752-2_40

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  • DOI: https://doi.org/10.1007/978-981-99-4752-2_40

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