Papers by Paolo Torroni

3 papers
Fast Vocabulary Transfer for Language Model Compression (2022.emnlp-industry)

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Challenge: Existing methods to reduce model size and size are expensive and inefficient for some applications.
Approach: They propose a method that relies on vocabulary transfer to reduce model size and inference time while compromising on performance.
Outcome: The proposed method reduces model size and inference time while compromising on performance.
Cross-lingual Annotation Projection in Legal Texts (2020.coling-main)

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Challenge: a new study examines annotation projection in text classification problems where source documents are published in multiple languages.
Approach: They propose to use word embeddings and dynamic time warping to create an annotation corpus for text classification problems where source documents are published in multiple languages.
Outcome: The proposed method is based on word embeddings and dynamic time warping . the aim is to train linguistic tools for the target language without experts .
Multimodal Fallacy Classification in Political Debates (2024.eacl-short)

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Challenge: Recent advances in NLP suggest that some tasks, such as argument detection and relation classification, are better framed in a multimodal perspective.
Approach: They propose to use multimodal argument mining to capture paralinguistic aspects of fallacious arguments.
Outcome: The proposed multimodal argument mining improves argument detection and relation classification in political debates.

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