Papers by Marie-Jean Meurs
Cooking Up a Neural-based Model for Recipe Classification (2020.lrec-1)
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Elham Mohammadi, Nada Naji, Louis Marceau, Marc Queudot, Eric Charton, Leila Kosseim, Marie-Jean Meurs
| Challenge: | a dataset of cooking recipes in French is highly imbalanced due to collaborative nature of the dataset . authors propose a neural-based model to address the first task of the DEFT 2013 shared task . |
| Approach: | They propose a neural-based model to address the first task of the DEFT 2013 shared task . they use state-of-the-art embedding approaches and deep architectures to address imbalanced dataset . |
| Outcome: | The proposed model outperforms models that use only pretrained embeddings in micro and macro F1 scores. |
Language Modeling with a General Second-Order RNN (2020.lrec-1)
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| Challenge: | a number of RNNs update their state as the input sequence is processed . second-order RNN architectures show promising performance in language modeling . |
| Approach: | They propose a second-order RNN architecture that generalizes existing ones . they use a Penn Treebank dataset to analyze how their different components affect performance . |
| Outcome: | The proposed architecture generalizes existing RNNs on a Penn Treebank dataset . it shows that removing the first-order terms does not hinder performance . |