Séminaires RALI-OLST-ILFC
Les mercredis à 11 h 30 (heure de Montréal), nous tenons un séminaire d'une heure portant sur un sujet du traitement des langues ou de linguistique. Il est typiquement offert en mode hybride (présentiel & vidéoconférence). Une fois par mois, le séminaire est organisé par le groupe de recherche français Linguistique Informatique, Formelle et de Terrain.
SC-LSTM: Learning Task-Specific Representations in Multi-Task Learning for Sequence Labeling
Peng Lu (LPXD1101 <at> outlook (point) com)
RALI, DIRO
Wednesday 22 May 2019 at 11:30 AM
Salle 3195, Pavillon André-Aisenstadt
Multi-task learning (MTL) has been studied recently for sequence labeling. Typically, auxiliary tasks are selected specifically in order to improve the performance of a target task. Jointly learning multiple tasks in a way that benefits all of them simultaneously can increase the utility of MTL. In order to do so, we propose a new LSTM cell which contains both shared parameters that can learn from all tasks, and task-specific parameters that can learn task specific information. We name it a Shared-Cell Long-Short Term Memory. Experimental results on three sequence labeling benchmarks (named-entity recognition, text chunking, and part-of-speech tagging) demonstrate the effectiveness of this new type of cell.
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http://rali.iro.umontreal.ca/rali/?q=fr/node/1631
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