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09/19/2023
A Neighbourhood-Aware Differential Privacy Mechanism for Static Word Embeddings
We propose a Neighbourhood-Aware Differential Privacy (NADP) mechanism c...
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09/16/2023
The Impact of Debiasing on the Performance of Language Models in Downstream Tasks is Underestimated
Pre-trained language models trained on large-scale data have learned ser...
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09/13/2023
In-Contextual Bias Suppression for Large Language Models
Despite their impressive performance in a wide range of NLP tasks, Large...
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09/12/2023
Learning to Predict Concept Ordering for Common Sense Generation
Prior work has shown that the ordering in which concepts are shown to a ...
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07/14/2023
Learn from Incomplete Tactile Data: Tactile Representation Learning with Masked Autoencoders
The missing signal caused by the objects being occluded or an unstable s...
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06/22/2023
Multimodal Zero-Shot Learning for Tactile Texture Recognition
Tactile sensing plays an irreplaceable role in robotic material recognit...
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05/25/2023
Metrics for quantifying isotropy in high dimensional unsupervised clustering tasks in a materials context
Clustering is a common task in machine learning, but clusters of unlabel...
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05/15/2023
Unsupervised Semantic Variation Prediction using the Distribution of Sibling Embeddings
Languages are dynamic entities, where the meanings associated with words...
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02/11/2023
Evaluating the Robustness of Discrete Prompts
Discrete prompts have been used for fine-tuning Pre-trained Language Mod...
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01/28/2023
Comparing Intrinsic Gender Bias Evaluation Measures without using Human Annotated Examples
Numerous types of social biases have been identified in pre-trained lang...
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01/17/2023
Vis2Hap: Vision-based Haptic Rendering by Cross-modal Generation
To assist robots in teleoperation tasks, haptic rendering which allows h...
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10/06/2022
Debiasing isn't enough! – On the Effectiveness of Debiasing MLMs and their Social Biases in Downstream Tasks
We study the relationship between task-agnostic intrinsic and task-speci...
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06/17/2022
Random projections and Kernelised Leave One Cluster Out Cross-Validation: Universal baselines and evaluation tools for supervised machine learning for materials properties
With machine learning being a popular topic in current computational mat...
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05/19/2022
Gender Bias in Meta-Embeddings
Combining multiple source embeddings to create meta-embeddings is consid...
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04/27/2022
Learning to Borrow – Relation Representation for Without-Mention Entity-Pairs for Knowledge Graph Completion
Prior work on integrating text corpora with knowledge graphs (KGs) to im...
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04/26/2022
Learning Meta Word Embeddings by Unsupervised Weighted Concatenation of Source Embeddings
Given multiple source word embeddings learnt using diverse algorithms an...
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04/25/2022
A Survey on Word Meta-Embedding Learning
Meta-embedding (ME) learning is an emerging approach that attempts to le...
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04/16/2022
Unsupervised Attention-based Sentence-Level Meta-Embeddings from Contextualised Language Models
A variety of contextualised language models have been proposed in the NL...
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03/14/2022
Sense Embeddings are also Biased–Evaluating Social Biases in Static and Contextualised Sense Embeddings
Sense embedding learning methods learn different embeddings for the diff...
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10/05/2021
Learning Sense-Specific Static Embeddings using Contextualised Word Embeddings as a Proxy
Contextualised word embeddings generated from Neural Language Models (NL...
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06/15/2021
Unsupervised Abstractive Opinion Summarization by Generating Sentences with Tree-Structured Topic Guidance
This paper presents a novel unsupervised abstractive summarization metho...
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05/11/2021
Backretrieval: An Image-Pivoted Evaluation Metric for Cross-Lingual Text Representations Without Parallel Corpora
Cross-lingual text representations have gained popularity lately and act...
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04/15/2021
Detect and Classify – Joint Span Detection and Classification for Health Outcomes
A health outcome is a measurement or an observation used to capture and ...
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04/15/2021
Unmasking the Mask – Evaluating Social Biases in Masked Language Models
Masked Language Models (MLMs) have shown superior performances in numero...
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04/14/2021
I Wish I Would Have Loved This One, But I Didn't – A Multilingual Dataset for Counterfactual Detection in Product Reviews
Counterfactual statements describe events that did not or cannot take pl...
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02/12/2021
Semantically-Conditioned Negative Samples for Efficient Contrastive Learning
Negative sampling is a limiting factor w.r.t. the generalization of metr...
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01/25/2021
RelWalk A Latent Variable Model Approach to Knowledge Graph Embedding
Embedding entities and relations of a knowledge graph in a low-dimension...
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01/23/2021
Dictionary-based Debiasing of Pre-trained Word Embeddings
Word embeddings trained on large corpora have shown to encode high level...
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01/23/2021
Debiasing Pre-trained Contextualised Embeddings
In comparison to the numerous debiasing methods proposed for the static ...
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01/22/2021
k-Neighbor Based Curriculum Sampling for Sequence Prediction
Multi-step ahead prediction in language models is challenging due to the...
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10/25/2020
Autoencoding Improves Pre-trained Word Embeddings
Prior work investigating the geometry of pre-trained word embeddings hav...
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08/10/2020
Spatio-temporal Attention Model for Tactile Texture Recognition
Recently, tactile sensing has attracted great interest in robotics, espe...
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05/12/2020
Do not let the history haunt you – Mitigating Compounding Errors in Conversational Question Answering
The Conversational Question Answering (CoQA) task involves answering a s...
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05/06/2020
Weakly-Supervised Neural Response Selection from an Ensemble of Task-Specialised Dialogue Agents
Dialogue engines that incorporate different types of agents to converse ...
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04/22/2020
Contextualised Graph Attention for Improved Relation Extraction
This paper presents a contextualized graph attention network that combin...
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04/14/2020
Multi-source Attention for Unsupervised Domain Adaptation
Domain adaptation considers the problem of generalising a model learnt u...
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02/25/2020
Language-Independent Tokenisation Rivals Language-Specific Tokenisation for Word Similarity Prediction
Language-independent tokenisation (LIT) methods that do not require labe...
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11/28/2019
Dividing and Conquering Cross-Modal Recipe Retrieval: from Nearest Neighbours Baselines to SoTA
We propose a novel non-parametric method for cross-modal retrieval which...
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09/12/2019
Anonymising Queries by Semantic Decomposition
Protecting the privacy of search engine users is an important requiremen...
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09/09/2019
Transfer Reward Learning for Policy Gradient-Based Text Generation
Task-specific scores are often used to optimize for and evaluate the per...
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06/03/2019
Gender-preserving Debiasing for Pre-trained Word Embeddings
Word embeddings learnt from massive text collections have demonstrated s...
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02/17/2019
"Touching to See" and "Seeing to Feel": Robotic Cross-modal SensoryData Generation for Visual-Tactile Perception
The integration of visual-tactile stimulus is common while humans perfor...
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01/21/2019
Error-Correcting Neural Sequence Prediction
In this paper we propose a novel neural language modelling (NLM) method ...
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11/02/2018
Analysing Dropout and Compounding Errors in Neural Language Models
This paper carries out an empirical analysis of various dropout techniqu...
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11/02/2018
Combining Long Short Term Memory and Convolutional Neural Network for Cross-Sentence n-ary Relation Extraction
We propose in this paper a combined model of Long Short Term Memory and ...
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09/16/2018
Curriculum-Based Neighborhood Sampling For Sequence Prediction
The task of multi-step ahead prediction in language models is challengin...
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09/16/2018
Semi-Supervised Multi-Task Word Embeddings
Word embeddings have been shown to benefit from ensembling several word ...
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08/13/2018
Angular-Based Word Meta-Embedding Learning
Ensembling word embeddings to improve distributed word representations h...
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04/14/2018
Frustratingly Easy Meta-Embedding -- Computing Meta-Embeddings by Averaging Source Word Embeddings
Creating accurate meta-embeddings from pre-trained source embeddings has...
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04/14/2018