TY - GEN
T1 - Numerical Semantic Modeling for Implicit Discourse Relation Recognition
AU - Wang, Chenxu
AU - Jian, Ping
AU - Wang, Hai
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Implicit discourse relation recognition (IDRR), which infers discourse logical relations without the help of explicit connectives, is the bottleneck of discourse parsing. It is also an effective mean to test how well the natural language understanding models grasp the logical semantics of the text. Unfortunately, as an important part of text logical semantics, numerical logic has not been paid any attention to in the community. In this work, we attach importance to numerical semantics and design a numerical logic reasoning module specifically for the numeric tokens in discourse arguments to enhance the discourse logic inferring. Graph neural network is utilized here to calculate the interactions of these numerical elements by self-attention and inter-attention according to their numerical type and their location in the discourse arguments. Experimental results show that our model outperforms the baseline 1.36 % F1 score on the PDTB2.0 dataset.
AB - Implicit discourse relation recognition (IDRR), which infers discourse logical relations without the help of explicit connectives, is the bottleneck of discourse parsing. It is also an effective mean to test how well the natural language understanding models grasp the logical semantics of the text. Unfortunately, as an important part of text logical semantics, numerical logic has not been paid any attention to in the community. In this work, we attach importance to numerical semantics and design a numerical logic reasoning module specifically for the numeric tokens in discourse arguments to enhance the discourse logic inferring. Graph neural network is utilized here to calculate the interactions of these numerical elements by self-attention and inter-attention according to their numerical type and their location in the discourse arguments. Experimental results show that our model outperforms the baseline 1.36 % F1 score on the PDTB2.0 dataset.
KW - Implicit discourse relation recognition
KW - graph neural networks
KW - numerical logic reasoning
UR - http://www.scopus.com/inward/record.url?scp=85177584806&partnerID=8YFLogxK
U2 - 10.1109/ICASSP49357.2023.10094754
DO - 10.1109/ICASSP49357.2023.10094754
M3 - Conference contribution
AN - SCOPUS:85177584806
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
BT - ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 48th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023
Y2 - 4 June 2023 through 10 June 2023
ER -