Papers by Léo Bouscarrat
STRASS: A Light and Effective Method for Extractive Summarization Based on Sentence Embeddings (P19-2)
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| Challenge: | Summarization is a costly and timedemanding task. |
| Approach: | They propose an extractive text summarization method which leverages the semantic information in existing sentence embedding spaces. |
| Outcome: | The proposed method performs similarly to state-of-the-art extractive methods with effective training and inference time. |
Towards Language Technology for Mi’kmaq (L18-1)
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| Challenge: | Mi'kmaq is a polysynthetic Indigenous language spoken primarily in Eastern Canada . |
| Approach: | They construct and analyze a web corpus of Mi'kmaq and evaluate several approaches to language modelling . they argue that natural language processing could aid efforts to preserve Indigenous languages . |
| Outcome: | The proposed language model is based on a web corpus of Mi'kmaq . the model is well-suited to morphologically-rich languages, the authors argue . |