82 citations · 156 across the 24 of their papers we have counts for
4 papers · 1 filter
End-to-End Bias Mitigation by Modelling Biases in Corpora
Rabeeh Karimi Mahabadi, Yonatan Belinkov, James Henderson
Several recent studies have shown that strong natural language understanding (NLU) models are prone to relying on unwanted dataset biases without learning the underlying task, resu…
Regularization Advantages of Multilingual Neural Language Models for Low Resource Domains
Navid Rekabsaz, Nikolaos Pappas, James Henderson +2
Neural language modeling (LM) has led to significant improvements in several applications, including Automatic Speech Recognition. However, they typically require large amounts of…
Deep Residual Output Layers for Neural Language Generation
Nikolaos Pappas, James Henderson
Many tasks, including language generation, benefit from learning the structure of the output space, particularly when the space of output labels is large and the data is sparse. St…
Weakly-Supervised Concept-based Adversarial Learning for Cross-lingual Word Embeddings
Haozhou Wang, James Henderson, Paola Merlo
Distributed representations of words which map each word to a continuous vector have proven useful in capturing important linguistic information not only in a single language but a…