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05/30/2023
Wave to Syntax: Probing spoken language models for syntax
Understanding which information is encoded in deep models of spoken and ...
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05/08/2023
Putting Natural in Natural Language Processing
Human language is firstly spoken and only secondarily written. Text, h...
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01/30/2023
Quantifying Context Mixing in Transformers
Self-attention weights and their transformed variants have been the main...
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02/25/2022
Learning English with Peppa Pig
Attempts to computationally simulate the acquisition of spoken language ...
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01/17/2022
Cyberbullying Classifiers are Sensitive to Model-Agnostic Perturbations
A limited amount of studies investigates the role of model-agnostic adve...
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07/14/2021
ZR-2021VG: Zero-Resource Speech Challenge, Visually-Grounded Language Modelling track, 2021 edition
We present the visually-grounded language modelling track that was intro...
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05/12/2021
Discrete representations in neural models of spoken language
The distributed and continuous representations used by neural networks a...
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04/27/2021
Visually grounded models of spoken language: A survey of datasets, architectures and evaluation techniques
This survey provides an overview of the evolution of visually grounded m...
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01/27/2021
Adversarial Stylometry in the Wild: Transferable Lexical Substitution Attacks on Author Profiling
Written language contains stylistic cues that can be exploited to automa...
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10/06/2020
Textual Supervision for Visually Grounded Spoken Language Understanding
Visually-grounded models of spoken language understanding extract semant...
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05/06/2020
Learning to Understand Child-directed and Adult-directed Speech
Speech directed to children differs from adult-directed speech in lingui...
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04/15/2020
Analyzing analytical methods: The case of phonology in neural models of spoken language
Given the fast development of analysis techniques for NLP and speech pro...
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11/09/2019
Bootstrapping Disjoint Datasets for Multilingual Multimodal Representation Learning
Recent work has highlighted the advantage of jointly learning grounded s...
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05/14/2019
Correlating neural and symbolic representations of language
Analysis methods which enable us to better understand the representation...
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04/05/2019
Analyzing and Interpreting Neural Networks for NLP: A Report on the First BlackboxNLP Workshop
The EMNLP 2018 workshop BlackboxNLP was dedicated to resources and techn...
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12/21/2018
Symbolic inductive bias for visually grounded learning of spoken language
A widespread approach to processing spoken language is to first automati...
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09/20/2018
Lessons learned in multilingual grounded language learning
Recent work has shown how to learn better visual-semantic embeddings by ...
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07/10/2018
Revisiting the Hierarchical Multiscale LSTM
Hierarchical Multiscale LSTM (Chung et al., 2016a) is a state-of-the-art...
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05/18/2018
Style Obfuscation by Invariance
The task of obfuscating writing style using sequence models has previous...
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03/23/2018
On the difficulty of a distributional semantics of spoken language
The bulk of research in the area of speech processing concerns itself wi...
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06/12/2017
Encoding of phonology in a recurrent neural model of grounded speech
We study the representation and encoding of phonemes in a recurrent neur...
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02/07/2017
Representations of language in a model of visually grounded speech signal
We present a visually grounded model of speech perception which projects...
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10/11/2016
From phonemes to images: levels of representation in a recurrent neural model of visually-grounded language learning
We present a model of visually-grounded language learning based on stack...
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02/29/2016