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04/27/2023
Idioms, Probing and Dangerous Things: Towards Structural Probing for Idiomaticity in Vector Space
The goal of this paper is to learn more about how idiomatic information ...
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01/25/2023
Probing Taxonomic and Thematic Embeddings for Taxonomic Information
Modelling taxonomic and thematic relatedness is important for building A...
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10/21/2022
Probing with Noise: Unpicking the Warp and Weft of Embeddings
Improving our understanding of how information is encoded in vector spac...
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08/11/2022
Domain-Specific Text Generation for Machine Translation
Preservation of domain knowledge from the source to target is crucial in...
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06/27/2022
Interpretable Hidden Markov Model-Based Deep Reinforcement Learning Hierarchical Framework for Predictive Maintenance of Turbofan Engines
An open research question in deep reinforcement learning is how to focus...
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06/06/2022
Detecting Interlocutor Confusion in Situated Human-Avatar Dialogue: A Pilot Study
In order to enhance levels of engagement with conversational systems, ou...
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12/08/2020
Mutual Information Decay Curves and Hyper-Parameter Grid Search Design for Recurrent Neural Architectures
We present an approach to design the grid searches for hyper-parameter o...
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11/30/2020
Language-Driven Region Pointer Advancement for Controllable Image Captioning
Controllable Image Captioning is a recent sub-field in the multi-modal t...
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02/14/2020
Semantic Relatedness and Taxonomic Word Embeddings
This paper connects a series of papers dealing with taxonomic word embed...
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07/13/2019
Multi-Element Long Distance Dependencies: Using SPk Languages to Explore the Characteristics of Long-Distance Dependencies
In order to successfully model Long Distance Dependencies (LDDs) it is n...
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03/23/2019
Referring to the recently seen: reference and perceptual memory in situated dialog
From theoretical linguistic and cognitive perspectives, situated dialog ...
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12/22/2018
TEST: A Terminology Extraction System for Technology Related Terms
Tracking developments in the highly dynamic data-technology landscape ar...
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12/19/2018
Generating Diverse and Meaningful Captions
Image Captioning is a task that requires models to acquire a multi-modal...
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10/10/2018
Exploring the Use of Attention within an Neural Machine Translation Decoder States to Translate Idioms
Idioms pose problems to almost all Machine Translation systems. This typ...
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10/10/2018
Persistence pays off: Paying Attention to What the LSTM Gating Mechanism Persists
Language Models (LMs) are important components in several Natural Langua...
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10/06/2018
Understanding Recurrent Neural Architectures by Analyzing and Synthesizing Long Distance Dependencies in Benchmark Sequential Datasets
At present, the state-of-the-art computational models across a range of ...
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08/15/2018
Using Regular Languages to Explore the Representational Capacity of Recurrent Neural Architectures
The presence of Long Distance Dependencies (LDDs) in sequential data pos...
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07/27/2018
On the Inability of Markov Models to Capture Criticality in Human Mobility
We examine the non-Markovian nature of human mobility by exposing the in...
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07/21/2018
What is not where: the challenge of integrating spatial representations into deep learning architectures
This paper examines to what degree current deep learning architectures f...
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07/21/2018
Modular Mechanistic Networks: On Bridging Mechanistic and Phenomenological Models with Deep Neural Networks in Natural Language Processing
Natural language processing (NLP) can be done using either top-down (the...
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07/18/2018
