Symbolic, Distributed and Distributional Representations for Natural
Language Processing in the Era of Deep Learning: a Survey

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Symbolic, Distributed and Distributional Representations for Natural Language Processing in the Era of Deep Learning: a Survey

2 February 2017

Fabio Massimo Zanzotto

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Papers citing "Symbolic, Distributed and Distributional Representations for Natural Language Processing in the Era of Deep Learning: a Survey"

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Title
Compositional Structures in Neural Embedding and Interaction Decompositions Matthew Trager Alessandro Achille Pramuditha Perera Luca Zancato Stefano Soatto CoGe 173 0 0 12 Jul 2024
Synergizing Machine Learning & Symbolic Methods: A Survey on Hybrid Approaches to Natural Language Processing Rrubaa Panchendrarajan A. Zubiaga 71 10 0 22 Jan 2024
Resolving Regular Polysemy in Named Entities S. Hsieh Yu-Hsiang Tseng Hsin-Yu Chou Ching-Wen Yang Yu-Yun Chang 44 3 0 18 Jan 2024
Unbiased Weight Maximization Stephen Chung 21 0 0 25 Jul 2023
A Survey of Text Representation Methods and Their Genealogy Philipp Siebers Christian Janiesch Patrick Zschech AI4TS 26 9 0 26 Nov 2022
Quality Assurance of Generative Dialog Models in an Evolving Conversational Agent Used for Swedish Language Practice Markus Borg J. Bengtsson Harald Österling Alexander Hagelborn Isabella Gagner Piotr Tomaszewski 21 1 0 29 Mar 2022
Lacking the embedding of a word? Look it up into a traditional dictionary Elena Sofia Ruzzetti Leonardo Ranaldi Michele Mastromattei Francesca Fallucchi Fabio Massimo Zanzotto 61 15 0 24 Sep 2021
Mathematical Foundations for a Compositional Distributional Model of Meaning B. Coecke M. Sadrzadeh S. Clark CoGe 132 569 0 23 Mar 2010