Binary text classification
6 papers with code • 1 benchmarks • 3 datasets
Expectation Backpropagation: Parameter-Free Training of Multilayer Neural Networks with Continuous or Discrete Weights
Using online EP and the central limit theorem we find an analytical approximation to the Bayes update of this posterior, as well as the resulting Bayes estimates of the weights and outputs.
In this article, we present DACCORD, a new dataset dedicated to the task of automatically detecting contradictions between sentences in French.
Evaluating shallow and deep learning strategies for the 2018 n2c2 shared task on clinical text classification
Shallow machine learning strategies showed lower overall micro F1 scores, but still higher than deep learning strategies and the baseline.
Identification of the Relevance of Comments in Codes Using Bag of Words and Transformer Based Models
The performance of the classical bag of words model and transformer-based models were explored to identify significant features from the given training corpus.