Papers by Bertrand Higy
Analyzing analytical methods: The case of phonology in neural models of spoken language (2020.acl-main)
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| Challenge: | Recent studies have focused on the strengths and weaknesses of various methods for analyzing phonology representations. |
| Approach: | They propose to use diagnostic classifiers and representational similarity analysis to quantify to what extent phonemes and phoneme sequences are encoded. |
| Outcome: | The proposed method is based on two commonly applied techniques . it shows that global-scope methods yield more consistent and interpretable results . |
Textual Supervision for Visually Grounded Spoken Language Understanding (2020.findings-emnlp)
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| Challenge: | a new approach to spoken language understanding extracts semantic information directly from speech without relying on transcriptions. |
| Approach: | They propose to use textual supervision to train visually-grounded models of spoken language understanding without relying on transcriptions. |
| Outcome: | The proposed model improves when enough text is available, the study shows . compared with pipeline-based models, the pipeline approach performs better when enough data is available . |