no code implementations • 15 Jul 2024 • Nan Xu, Mark Stevenson, Kerry A. Nice, Sachith Seneviratne
Furthermore, a lack of generalized methods is a problem when the method is expected to be applicable in multiple resolutions, sizes, or scales of raster and vector data, to what is being processed.
no code implementations • 13 May 2024 • Jochen L. Leidner, Mark Stevenson
Over the course of the recent decade, tremendous progress has been made in the areas of machine learning and natural language processing, which opened up vast areas of potential application use cases, including hiring and human resource management.
1 code implementation • 3 May 2024 • Reem Bin-Hezam, Mark Stevenson
We present RLStop, a novel Technology Assisted Review (TAR) stopping rule based on reinforcement learning that helps minimise the number of documents that need to be manually reviewed within TAR applications.
1 code implementation • 26 Mar 2024 • Haiyang Zhang, Qiuyi Chen, Yuanjie Zou, Yushan Pan, Jia Wang, Mark Stevenson
The Document Set Expansion (DSE) task involves identifying relevant documents from large collections based on a limited set of example documents.
no code implementations • 20 Jan 2024 • Haiyang Zhang, Qiuyi Chen, Yuanjie Zou, Yushan Pan, Jia Wang, Mark Stevenson
Previous work shows that PU learning is a promising method for this task.
1 code implementation • 5 Dec 2023 • Reem Bin-Hezam, Mark Stevenson
Technology Assisted Review (TAR) stopping rules aim to reduce the cost of manually assessing documents for relevance by minimising the number of documents that need to be examined to ensure a desired level of recall.
1 code implementation • 14 Nov 2023 • Mark Stevenson, Reem Bin-Hezam
Technology Assisted Review (TAR), which aims to reduce the effort required to screen collections of documents for relevance, is used to develop systematic reviews of medical evidence and identify documents that must be disclosed in response to legal proceedings.
1 code implementation • 18 Sep 2023 • Xinye Wanyan, Sachith Seneviratne, Kerry Nice, Jason Thompson, Marcus White, Nano Langenheim, Mark Stevenson
The annotation of segmentation tasks, especially labeling remote sensing images with specialized requirements, is very expensive, so we aim to introduce a pipeline requiring less labeled data.
1 code implementation • 12 Aug 2023 • Ambrose Robinson, William Thorne, Ben P. Wu, Abdullah Pandor, Munira Essat, Mark Stevenson, Xingyi Song
Medical systematic reviews can be very costly and resource intensive.
no code implementations • 28 Nov 2022 • Xutan Peng, YiPeng Zhang, Jingfeng Yang, Mark Stevenson
Although it has been demonstrated that Natural Language Processing (NLP) algorithms are vulnerable to deliberate attacks, the question of whether such weaknesses can lead to software security threats is under-explored.
no code implementations • 17 Aug 2022 • Sachith Seneviratne, Jasper S. Wijnands, Kerry Nice, Haifeng Zhao, Branislava Godic, Suzanne Mavoa, Rajith Vidanaarachchi, Mark Stevenson, Leandro Garcia, Ruth F. Hunter, Jason Thompson
Analysis of overhead imagery using computer vision is a problem that has received considerable attention in academic literature.
1 code implementation • 8 Mar 2022 • Sachith Seneviratne, Kerry A. Nice, Jasper S. Wijnands, Mark Stevenson, Jason Thompson
However, the performance of such methods on remote sensing imagery domains remains under-explored.
1 code implementation • NAACL 2021 • Xutan Peng, Chenghua Lin, Mark Stevenson
It is therefore recommended that this strategy be adopted as a standard for CLWE methods.
1 code implementation • 11 Apr 2021 • Xutan Peng, Chenghua Lin, Mark Stevenson
It is therefore recommended that this strategy be adopted as a standard for CLWE methods.
1 code implementation • NAACL 2021 • Xutan Peng, Guanyi Chen, Chenghua Lin, Mark Stevenson
Knowledge Graph Embeddings (KGEs) have been intensively explored in recent years due to their promise for a wide range of applications.
no code implementations • 15 Feb 2021 • Haiyang Zhang, Ivan Ganchev, Nikola S. Nikolov, Mark Stevenson
We compare the effectiveness of UserReg with three linear CF models that are widely-used as baselines, and with a set of recently proposed complex models that are based on deep learning or graph techniques.
no code implementations • 29 Oct 2020 • Jasper S. Wijnands, Haifeng Zhao, Kerry A. Nice, Jason Thompson, Katherine Scully, Jingqiu Guo, Mark Stevenson
The World Health Organization has listed the design of safer intersections as a key intervention to reduce global road trauma.
1 code implementation • Asian Chapter of the Association for Computational Linguistics 2020 • Haiyang Zhang, Alison Sneyd, Mark Stevenson
It has been shown that word embeddings can exhibit gender bias, and various methods have been proposed to quantify this.
no code implementations • NAACL (NLP4IF) 2021 • Antonis Maronikolakis, Hinrich Schutze, Mark Stevenson
False information spread via the internet and social media influences public opinion and user activity, while generative models enable fake content to be generated faster and more cheaply than had previously been possible.
1 code implementation • 29 May 2020 • Areej Alokaili, Nikolaos Aletras, Mark Stevenson
A topic is usually represented by a list of terms ranked by their probability but, since these can be difficult to interpret, various approaches have been developed to assign descriptive labels to topics.
no code implementations • LREC 2020 • Felipe Soares, Mark Stevenson, Diego Bartolome, Anna Zaretskaya
The Google Patents is one of the main important sources of patents information.
1 code implementation • 2 Apr 2020 • Xutan Peng, Mark Stevenson, Chenghua Lin, Chen Li
The technique of Cross-Lingual Word Embedding (CLWE) plays a fundamental role in tackling Natural Language Processing challenges for low-resource languages.
no code implementations • 15 Oct 2019 • Jasper S. Wijnands, Jason Thompson, Kerry A. Nice, Gideon D. P. A. Aschwanden, Mark Stevenson
Phone applications reduce the need for specialised hardware and hence, enable a cost-effective roll-out of the technology across the driving population.
no code implementations • 8 Oct 2019 • Kerry A. Nice, Jason Thompson, Jasper S. Wijnands, Gideon D. P. A. Aschwanden, Mark Stevenson
A (novel) neural network-based framework is trained with imagery from the largest 1692 cities in the world and the resulting models are used to compare within-city locations from Melbourne and Sydney to determine the closest connections between these areas and their international comparators.
1 code implementation • 8 Oct 2019 • Kerry A. Nice, Jasper S. Wijnands, Ariane Middel, Jingcheng Wang, Yiming Qiu, Nan Zhao, Jason Thompson, Gideon D. P. A. Aschwanden, Haifeng Zhao, Mark Stevenson
To address this problem, we present a new sky pixel detection system demonstrated to produce accurate results using a wide range of outdoor imagery types.
1 code implementation • IJCNLP 2019 • Alison Sneyd, Mark Stevenson
Text retrieval systems often return large sets of documents, particularly when applied to large collections.
no code implementations • 14 May 2019 • Jasper S. Wijnands, Kerry A. Nice, Jason Thompson, Haifeng Zhao, Mark Stevenson
Deep learning using neural networks has provided advances in image style transfer, merging the content of one image (e. g., a photo) with the style of another (e. g., a painting).
1 code implementation • WS 2019 • Areej Alokaili, Nikolaos Aletras, Mark Stevenson
Making their output interpretable is an important area of research with applications to areas such as the enhancement of exploratory search interfaces and the development of interpretable machine learning models.
no code implementations • COLING 2018 • Judita Preiss, Mark Stevenson
We introduce HiDE (Hidden Discovery Explorer), an online knowledge browsing tool which allows fast access to hidden knowledge generated from all abstracts in Medline.
1 code implementation • COLING 2018 • Yunita Sari, Mark Stevenson, Andreas Vlachos
Approaches to authorship attribution, the task of identifying the author of a document, are based on analysis of individuals{'} writing style and/or preferred topics.
no code implementations • EACL 2017 • Yunita Sari, Andreas Vlachos, Mark Stevenson
This paper presents work on using continuous representations for authorship attribution.
no code implementations • IJCNLP 2015 • Roland Roller, Eneko Agirre, Aitor Soroa, Mark Stevenson
Distant supervision is a widely applied approach to automatic training of relation extraction systems and has the advantage that it can generate large amounts of labelled data with minimal effort.
no code implementations • LREC 2012 • Fern, Samuel o, Mark Stevenson
Lexical knowledge bases (LKBs), such as WordNet, have been shown to be useful for a range of language processing tasks.
no code implementations • LREC 2012 • Eneko Agirre, Ander Barrena, Oier Lopez de Lacalle, Aitor Soroa, Fern, Samuel o, Mark Stevenson
Digitised Cultural Heritage (CH) items usually have short descriptions and lack rich contextual information.