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Found 6 papers, 1 papers with code
Modelling Stance Detection as Textual Entailment Recognition and Leveraging Measurement Knowledge from Social Sciences
Stance detection (SD) can be considered a special case of textual entailment recognition (TER), a generic natural language task.
Neural Networks for Latent Budget Analysis of Compositional Data
Here we propose LBA-NN, a feed forward NN model that yields a similar interpretation to LBA but equips LBA with a better ability of prediction.
Multimodal Learning for Cardiovascular Risk Prediction using EHR Data
To exploit the potential information captured in EHRs, in this study we propose a multimodal recurrent neural network model for cardiovascular risk prediction that integrates both medical texts and structured clinical information.
Fair inference on error-prone outcomes
Fair inference in supervised learning is an important and active area of research, yielding a range of useful methods to assess and account for fairness criteria when predicting ground truth targets.
Persian Sentiment Analyzer: A Framework based on a Novel Feature Selection Method
The proposed model is based on lemmatization and feature selection and is employed Naive Bayes algorithm for classification.
