no code implementations • NAACL (maiworkshop) 2021 • Hao Wu, François Pitie, Gareth Jones
These comments have become a determining factor in the popularity of the videos.
no code implementations • 9 Oct 2022 • Tianbo Ji, Chenyang Lyu, Gareth Jones, Liting Zhou, Yvette Graham
Question Generation (QG) aims to automate the task of composing questions for a passage with a set of chosen answers found within the passage.
no code implementations • 28 Feb 2021 • Gareth Jones, Jim Parr, Perumal Nithiarasu, Sanjay Pant
When using all the six measurements, it is found that maximum F1 scores larger than 0. 9 are achieved for CAS and PAD, larger than 0. 85 for SAS, and larger than 0. 98 for both low- and high-severity AAAs.
no code implementations • 11 Feb 2021 • Gareth Jones, Jim Parr, Perumal Nithiarasu, Sanjay Pant
This proof of concept (PoC) assesses the ability of machine learning (ML) classifiers to predict the presence of a stenosis in a three vessel arterial system consisting of the abdominal aorta bifurcating into the two common iliacs.
no code implementations • COLING 2020 • Ann Clifton, Sravana Reddy, Yongze Yu, Aasish Pappu, Rezvaneh Rezapour, Hamed Bonab, Maria Eskevich, Gareth Jones, Jussi Karlgren, Ben Carterette, Rosie Jones
Paired with the audio files, they are also a resource for speech processing and the study of paralinguistic, sociolinguistic, and acoustic aspects of the domain.
Ranked #1 on 3D Facial Landmark Localization on Urban Hyperspectral Image (using extra training data)
3D Facial Landmark Localization Automatic Speech Recognition +4
1 code implementation • COLING (MWE) 2020 • Lifeng Han, Gareth Jones, Alan Smeaton
To facilitate further MT research, we present a categorisation of the error types encountered by MT systems in performing MWE related translation.
no code implementations • LREC 2020 • Piyush Arora, Dimitar Shterionov, Yasufumi Moriya, Abhishek Kaushik, Daria Dzendzik, Gareth Jones
In this paper we devote special attention to the automatic translation (AT) component which is crucial for the overall quality of the MMCLIR system.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +5
no code implementations • NAACL 2019 • Procheta Sen, Debasis Ganguly, Gareth Jones
However, this strong assumption may not capture the semantic association between words that co-occur frequently but non-locally within documents.
no code implementations • NAACL 2018 • Procheta Sen, Debasis Ganguly, Gareth Jones
Task extraction is the process of identifying search intents over a set of queries potentially spanning multiple search sessions.
no code implementations • WS 2017 • Ahmad Khwileh, Haithem Afli, Gareth Jones, Andy Way
Cross Language Information Retrieval (CLIR) systems are a valuable tool to enable speakers of one language to search for content of interest expressed in a different language.
no code implementations • LREC 2016 • Debasis Ganguly, Iacer Calixto, Gareth Jones
Motivated by the adage that a {``}picture is worth a thousand words{''} it can be reasoned that automatically enriching the textual content of a document with relevant images can increase the readability of a document.