19 citations · 38 across the 12 of their papers we have counts for
3 papers · 1 filter
Resilient Combination of Complementary CNN and RNN Features for Text Classification through Attention and Ensembling
Athanasios Giannakopoulos, Maxime Coriou, Andreea Hossmann +2
State-of-the-art methods for text classification include several distinct steps of pre-processing, feature extraction and post-processing. In this work, we focus on end-to-end neur…
Expanding the Text Classification Toolbox with Cross-Lingual Embeddings
Meryem M'hamdi, Robert West, Andreea Hossmann +2
Most work in text classification and Natural Language Processing (NLP) focuses on English or a handful of other languages that have text corpora of hundreds of millions of words. T…
Interpretable Structure-aware Document Encoders with Hierarchical Attention
Khalil Mrini, Claudiu Musat, Michael Baeriswyl +1
We propose a method to create document representations that reflect their internal structure. We modify Tree-LSTMs to hierarchically merge basic elements such as words and sentence…