Papers with feature projection

2 papers
A Unified Neural Network Model for Readability Assessment with Feature Projection and Length-Balanced Loss (2022.emnlp-main)

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Challenge: Traditional readability assessment models employ hundreds of linguistic features, but it is less explored for readability assessments.
Approach: They propose a BERT-based model with feature projection and length-balanced loss to determine the difficulty level of a given text.
Outcome: The proposed model achieves significant improvements over baseline models on three English benchmark datasets and one Chinese dataset.
Feature Projection for Improved Text Classification (2020.acl-main)

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Challenge: In sentiment classification, there are some good features that are indicative of class labels, but there are also many common features that do not discriminate for classification.
Approach: They propose to project existing features into the orthogonal space of the common features and make them more discriminative for classification.
Outcome: The proposed method improves CNN, RNN, Transformer, and Bert based text classification and obtains markedly better results.

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