2 papers
cs.CL2022
Robustifying Sentiment Classification by Maximally Exploiting Few Counterfactuals
Maarten De Raedt, Fréderic Godin, Chris Develder +1
For text classification tasks, finetuned language models perform remarkably well. Yet, they tend to rely on spurious patterns in training data, thus limiting their performance on o…
cs.CL2021
A Simple Geometric Method for Cross-Lingual Linguistic Transformations with Pre-trained Autoencoders
Maarten De Raedt, Fréderic Godin, Pieter Buteneers +2
Powerful sentence encoders trained for multiple languages are on the rise. These systems are capable of embedding a wide range of linguistic properties into vector representations.…