Search Results for author: Gareth Jones

Found 15 papers, 1 papers with code

Machine learning for detection of stenoses and aneurysms: application in a physiologically realistic virtual patient database

no code implementations28 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.

A proof of concept study for machine learning application to stenosis detection

no code implementations11 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.

AlphaMWE: Construction of Multilingual Parallel Corpora with MWE Annotations

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.

Machine Translation Translation

Word-Node2Vec: Improving Word Embedding with Document-Level Non-Local Word Co-occurrences

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.

Tempo-Lexical Context Driven Word Embedding for Cross-Session Search Task Extraction

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.

Information Retrieval

Identifying Effective Translations for Cross-lingual Arabic-to-English User-generated Speech Search

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.

Information Retrieval Machine Translation +1

Developing a Dataset for Evaluating Approaches for Document Expansion with Images

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.

Information Retrieval

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