Lectures on Computational Linguistics 2021
Materiali Didattici

Materiale didattico disponibile unicamente per i membri di AILC e i partecipanti alle Lectures 2021

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Lectures 2021 - Tutorial 01 - Analysis of representations emerging in multilayer recurrent neural networks. Grzegorz Chrupała

1 file(s) 2 MB
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Lectures 2021 - Tutorial 02 - Multilingual Natural Language Understanding: Instructions for (Present and Future) Use Roberto Navigli

1 file(s) 4 MB
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Lectures 2021 - Tutorial 03 - Symbolic, Distributed and Distributional Representations in the Era of Deep Learning. Fabio Massimo Zanzotto

1 file(s) 7 MB
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Lectures 2021 - Tutorial 04 - Modeling Language Variation and Universals: Cross-Lingual NLP for Low-Resource and Typologically Diverse Languages. Ivan Vulic

1 file(s) 9 MB
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Lectures 2021 - Tutorial 05 - A topological view of polysemy. Milica Gasic

1 file(s) 408 KB
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Lectures 2021 - Tutorial 06 - Dialogue and Conversational Agents, Natural Language Generation via neural models. Konstas Ioannis

1 file(s) 8 MB
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Lectures 2021 - Lab 01 - Modeling and Training state-of-the-art Transformer-based Architectures in few hours. Danilo Croce

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