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Found 3 papers, 1 papers with code
NCU-NLP at ROCLING-2021 Shared Task: Using MacBERT Transformers for Dimensional Sentiment Analysis
On ROCLING-2021 test set, our used MacBERT model achieves 0. 611 of MAE and 0. 904 of r in the valence dimensions; and 0. 938 of MAE and 0. 549 of r in the arousal dimension.
CASPR: Customer Activity Sequence-based Prediction and Representation
When applying these advancements to tabular data researchers deal with data heterogeneity, variations in customer engagement history or the sheer volume of enterprise datasets.
Mitigating the Impact of Speech Recognition Errors on Chatbot using Sequence-to-Sequence Model
We apply sequence-to-sequence model to mitigate the impact of speech recognition errors on open domain end-to-end dialog generation.
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