Papers by Léo Bouscarrat

2 papers
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 .

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