Papers by Samuel Louvan
IndoNLI: A Natural Language Inference Dataset for Indonesian (2021.emnlp-main)
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| Challenge: | XLM-R model outperforms other pre-trained models in annotated data. |
| Approach: | They adapt the data collection protocol for MNLI and collect 18K sentence pairs annotated by crowd workers and experts. |
| Outcome: | The proposed dataset outperforms other pre-trained models on the expert-annotated data. |
Recent Neural Methods on Slot Filling and Intent Classification for Task-Oriented Dialogue Systems: A Survey (2020.coling-main)
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| Challenge: | In recent years, neural-network based models have been used for a wide range of tasks, including slot filling and intent classification. |
| Approach: | They propose three neural architectures to model slot filling and intent classification . they propose independent models, joint models and transfer learning models that exploit the mutual benefit of the two tasks simultaneously and scale the model to new domains. |
| Outcome: | The proposed models model SF and IC separately, exploit mutual benefit of the two tasks simultaneously and scale the model to new domains. |