Papers with Neural Network
Efficiently and Thoroughly Anonymizing a Transformer Language Model for Dutch Electronic Health Records: a Two-Step Method (2022.lrec-1)
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| Challenge: | Neural Networks (NNs) are used to model large amounts of data, such as text data, and have shown to be very useful for language modelling. |
| Approach: | They propose to use a Dutch language model for hospital notes to anonymize a model trained on large amounts of data and publish it online. |
| Outcome: | The proposed method predicts a name-like token 0.2% of the time, compared to the original training data. |
Neural Networks approaches focused on French Spoken Language Understanding: application to the MEDIA Evaluation Task (2020.coling-main)
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| Challenge: | Recent studies have focused on English language and tasks, but few have explored the complexity of a SLU task. |
| Approach: | They propose to explore Neural Networks approaches for a French Spoken Language Understanding task. |
| Outcome: | The proposed approach outperforms classical Neural Network Architectures and achieves state-of-the-art results. |
Bag & Tag’em - A New Dutch Stemmer (2020.lrec-1)
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| Challenge: | Current stemmers cannot handle 3rd person singular forms of verbs and many irregular words and conjugations unless a (nearly) brute-force approach is used. |
| Approach: | They propose a novel stemming algorithm that is robust and accurate compared to current stemmers for the Dutch language. |
| Outcome: | The proposed algorithm is more accurate than current stemmers and faster than brute-force-like algorithms. |