Paper
28 February 2023 Connective-aware interaction attention for implicit discourse relation classification
Yatian Shen, Ning Liu
Author Affiliations +
Proceedings Volume 12596, International Conference on Mechatronics Engineering and Artificial Intelligence (MEAI 2022); 125961Y (2023) https://doi.org/10.1117/12.2672170
Event: International Conference on Mechatronics Engineering and Artificial Intelligence (MEAI 2022), 2022, Changsha, China
Abstract
Implicit discourse relation classification, identifying relationships between arguments without explicit linguistic cues, is a challenging task. Previous studies have shown that connectives are important for recognizing implicit discourse relations. Most previous works applied connective prediction as an auxiliary task to promote knowledge transfer from connectives to labels which did not make full use of the relational mapping information of connectives. In this work, we propose an innovative Connective-aware Interactive Attention (CAIA) joint learning approach. Specifically, we use BERT to predict connectives and incorporate connective information into the interaction of the attention mechanism. Our experimental results on the PDTB dataset show that our approach achieves competitive results compared to recent state-of-the-art systems.
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Yatian Shen and Ning Liu "Connective-aware interaction attention for implicit discourse relation classification", Proc. SPIE 12596, International Conference on Mechatronics Engineering and Artificial Intelligence (MEAI 2022), 125961Y (28 February 2023); https://doi.org/10.1117/12.2672170
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KEYWORDS
Ablation

Neural networks

Feature extraction

Connectors

Network architectures

Transformers

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