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07/14/2023
Are words equally surprising in audio and audio-visual comprehension?
We report a controlled study investigating the effect of visual informat...
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06/24/2023
Towards Robust Aspect-based Sentiment Analysis through Non-counterfactual Augmentations
While state-of-the-art NLP models have demonstrated excellent performanc...
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04/11/2023
Towards preserving word order importance through Forced Invalidation
Large pre-trained language models such as BERT have been widely used as ...
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04/07/2023
Theoretical Conditions and Empirical Failure of Bracket Counting on Long Sequences with Linear Recurrent Networks
Previous work has established that RNNs with an unbounded activation fun...
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01/25/2023
Towards a Unified Model for Generating Answers and Explanations in Visual Question Answering
Providing explanations for visual question answering (VQA) has gained mu...
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11/29/2022
Exploring the Long-Term Generalization of Counting Behavior in RNNs
In this study, we investigate the generalization of LSTM, ReLU and GRU m...
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09/16/2022
Belief Revision based Caption Re-ranker with Visual Semantic Information
In this work, we focus on improving the captions generated by image-capt...
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04/01/2022
Evaluation of Fake News Detection with Knowledge-Enhanced Language Models
Recent advances in fake news detection have exploited the success of lar...
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09/16/2021
Numerical reasoning in machine reading comprehension tasks: are we there yet?
Numerical reasoning based machine reading comprehension is a task that i...
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06/07/2021
BERTGEN: Multi-task Generation through BERT
We present BERTGEN, a novel generative, decoder-only model which extends...
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06/06/2021
A call for better unit testing for invariant risk minimisation
In this paper we present a controlled study on the linearized IRM framew...
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04/05/2021
Discrete Reasoning Templates for Natural Language Understanding
Reasoning about information from multiple parts of a passage to derive a...
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03/02/2021
MultiSubs: A Large-scale Multimodal and Multilingual Dataset
This paper introduces a large-scale multimodal and multilingual dataset ...
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02/22/2021
Exploiting Multimodal Reinforcement Learning for Simultaneous Machine Translation
This paper addresses the problem of simultaneous machine translation (Si...
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01/25/2021
Cross-lingual Visual Pre-training for Multimodal Machine Translation
Pre-trained language models have been shown to improve performance in ma...
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12/13/2020
MSVD-Turkish: A Comprehensive Multimodal Dataset for Integrated Vision and Language Research in Turkish
Automatic generation of video descriptions in natural language, also cal...
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10/26/2020
Curious Case of Language Generation Evaluation Metrics: A Cautionary Tale
Automatic evaluation of language generation systems is a well-studied pr...
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09/15/2020
Simultaneous Machine Translation with Visual Context
Simultaneous machine translation (SiMT) aims to translate a continuous i...
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06/17/2020
A Tweet-based Dataset for Company-Level Stock Return Prediction
Public opinion influences events, especially related to stock market mov...
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10/16/2019
Imperial College London Submission to VATEX Video Captioning Task
This paper describes the Imperial College London team's submission to th...
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09/23/2019
On Model Stability as a Function of Random Seed
In this paper, we focus on quantifying model stability as a function of ...
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08/29/2019
Probing Representations Learned by Multimodal Recurrent and Transformer Models
Recent literature shows that large-scale language modeling provides exce...
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08/05/2019
Predicting Actions to Help Predict Translations
We address the task of text translation on the How2 dataset using a stat...
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07/22/2019
VIFIDEL: Evaluating the Visual Fidelity of Image Descriptions
We address the task of evaluating image description generation systems. ...
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06/18/2019
Distilling Translations with Visual Awareness
Previous work on multimodal machine translation has shown that visual in...
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06/18/2019
Model Explanations under Calibration
Explaining and interpreting the decisions of recommender systems are bec...
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03/20/2019
Probing the Need for Visual Context in Multimodal Machine Translation
Current work on multimodal machine translation (MMT) has suggested that ...
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11/26/2018
Predicting Language Recovery after Stroke with Convolutional Networks on Stitched MRI
One third of stroke survivors have language difficulties. Emerging evide...
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11/21/2018
Learning from Multiview Correlations in Open-Domain Videos
An increasing number of datasets contain multiple views, such as video, ...
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09/11/2018
End-to-end Image Captioning Exploits Multimodal Distributional Similarity
We hypothesize that end-to-end neural image captioning systems work seem...
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05/16/2018
Defoiling Foiled Image Captions
We address the task of detecting foiled image captions, i.e. identifying...
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04/23/2018