Papers with multi-layer neural network
Layer-wise Model Pruning based on Mutual Information (2021.emnlp-main)
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| Challenge: | In spite of impressive results of neural networks, the huge model size has hindered their applications in cases where computation and memory resources are limited. |
| Approach: | They propose a method for layer-wise pruning using mutual information based feature selection in SVMs and logistic regression. |
| Outcome: | The proposed pruning strategy offers greater speedup and higher performance than weight-based pruning methods. |
‘Aye’ or ‘No’? Speech-level Sentiment Analysis of Hansard UK Parliamentary Debate Transcripts (L18-1)
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| Challenge: | Transcripts of UK parliamentary debates are difficult for human readers to process due to the large quantity of textual data and the specialised language used. |
| Approach: | They propose to use annotated sentiment labels and labels derived from speakers' votes to classify the sentiment polarity of speakers as being either positive or negative towards motions proposed in the debates. |
| Outcome: | The proposed model outperforms existing models on a dataset of parliamentary debate transcripts using textual and contextual features. |