Papers by Matteo Manica
Zero-Shot-BERT-Adapters: a Zero-Shot Pipeline for Unknown Intent Detection (2023.findings-emnlp)
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| Challenge: | Intent discovery remains a crucial task in natural language processing . identifying novel, unseen intents remains one of the biggest challenges in this field . |
| Approach: | They propose a multi-language approach to intent discovery using Adapters and a Transformer architecture. |
| Outcome: | The proposed pipeline outperforms baselines in two zero-shot settings for intent classification and unseen intent discovery. |
Hierarchical Pre-training for Sequence Labelling in Spoken Dialog (2020.findings-emnlp)
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| Challenge: | Sequence labelling tasks like Dialog Act and Emotion/Sentiment identification are a key component of spoken dialog systems. |
| Approach: | They propose a new approach to learn generic representations adapted to spoken dialog using a hierarchical encoder based on transformer architectures. |
| Outcome: | The proposed model is model-agnostic and contains 10 datasets of various sizes. |