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11/17/2022
Reducing Hallucinations in Neural Machine Translation with Feature Attribution
Neural conditional language generation models achieve the state-of-the-a...
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10/19/2022
Scene Text Recognition with Semantics
Scene Text Recognition (STR) models have achieved high performance in re...
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10/10/2022
Contrastive Video-Language Learning with Fine-grained Frame Sampling
Despite recent progress in video and language representation learning, t...
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06/24/2022
Burst2Vec: An Adversarial Multi-Task Approach for Predicting Emotion, Age, and Origin from Vocal Bursts
We present Burst2Vec, our multi-task learning approach to predict emotio...
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04/29/2022
Logically Consistent Adversarial Attacks for Soft Theorem Provers
Recent efforts within the AI community have yielded impressive results t...
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01/23/2022
Supervised Visual Attention for Simultaneous Multimodal Machine Translation
Recently, there has been a surge in research in multimodal machine trans...
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11/24/2021
Revisiting Contextual Toxicity Detection in Conversations
Understanding toxicity in user conversations is undoubtedly an important...
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10/15/2021
Guiding Visual Question Generation
In traditional Visual Question Generation (VQG), most images have multip...
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09/22/2021
Pushing the Right Buttons: Adversarial Evaluation of Quality Estimation
Current Machine Translation (MT) systems achieve very good results on a ...
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09/17/2021
Classification-based Quality Estimation: Small and Efficient Models for Real-world Applications
Sentence-level Quality estimation (QE) of machine translation is traditi...
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09/16/2021
A Survey of Online Hate Speech through the Causal Lens
The societal issue of digital hostility has previously attracted a lot o...
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08/27/2021
Translation Error Detection as Rationale Extraction
Recent Quality Estimation (QE) models based on multilingual pre-trained ...
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07/01/2021
Knowledge Distillation for Quality Estimation
Quality Estimation (QE) is the task of automatically predicting Machine ...
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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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05/11/2021
Cross-Modal Generative Augmentation for Visual Question Answering
Data augmentation is an approach that can effectively improve the perfor...
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04/14/2021
What Makes a Scientific Paper be Accepted for Publication?
Despite peer-reviewing being an essential component of academia since th...
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04/12/2021
Backtranslation Feedback Improves User Confidence in MT, Not Quality
Translating text into a language unknown to the text's author, dubbed ou...
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03/12/2021
Improving Translation Robustness with Visual Cues and Error Correction
Neural Machine Translation models are brittle to input noise. Current ro...
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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
Exploring Supervised and Unsupervised Rewards in Machine Translation
Reinforcement Learning (RL) is a powerful framework to address the discr...
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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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02/08/2021
Quality Estimation without Human-labeled Data
Quality estimation aims to measure the quality of translated content wit...
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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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01/16/2021
Latent Variable Models for Visual Question Answering
Conventional models for Visual Question Answering (VQA) explore determin...
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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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11/19/2020
Watch and Learn: Mapping Language and Noisy Real-world Videos with Self-supervision
In this paper, we teach machines to understand visuals and natural langu...
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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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10/10/2020
FIND: Human-in-the-Loop Debugging Deep Text Classifiers
Since obtaining a perfect training dataset (i.e., a dataset which is con...
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10/09/2020
MLQE-PE: A Multilingual Quality Estimation and Post-Editing Dataset
We present MLQE-PE, a new dataset for Machine Translation (MT) Quality E...
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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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05/21/2020
Unsupervised Quality Estimation for Neural Machine Translation
Quality Estimation (QE) is an important component in making Machine Tran...
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05/01/2020
ASSET: A Dataset for Tuning and Evaluation of Sentence Simplification Models with Multiple Rewriting Transformations
In order to simplify a sentence, human editors perform multiple rewritin...
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11/28/2019
Multimodal Machine Translation through Visuals and Speech
Multimodal machine translation involves drawing information from more th...
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10/29/2019
Transformer-based Cascaded Multimodal Speech Translation
This paper describes the cascaded multimodal speech translation systems ...
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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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10/14/2019
Estimating post-editing effort: a study on human judgements, task-based and reference-based metrics of MT quality
Devising metrics to assess translation quality has always been at the co...
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10/07/2019
Improving Neural Machine Translation Robustness via Data Augmentation: Beyond Back Translation
Neural Machine Translation (NMT) models have been proved strong when tra...
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08/20/2019
Phrase Localization Without Paired Training Examples
Localizing phrases in images is an important part of image understanding...
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08/13/2019
EASSE: Easier Automatic Sentence Simplification Evaluation
We introduce EASSE, a Python package aiming to facilitate and standardis...
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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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07/01/2019
Is artificial data useful for biomedical Natural Language Processing
A major obstacle to the development of Natural Language Processing (NLP)...
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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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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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11/01/2018
How2: A Large-scale Dataset for Multimodal Language Understanding
In this paper, we introduce How2, a multimodal collection of instruction...
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10/07/2018
Assessing Crosslingual Discourse Relations in Machine Translation
In an attempt to improve overall translation quality, there has been an ...
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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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09/02/2018
Exploring Gap Filling as a Cheaper Alternative to Reading Comprehension Questionnaires when Evaluating Machine Translation for Gisting
A popular application of machine translation (MT) is gisting: MT is cons...
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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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04/24/2018
