no code implementations • 16 Nov 2023 • Yan Cathy Hua, Paul Denny, Katerina Taskova, Jörg Wicker
This review is one of the largest SLRs on ABSA, and also, to our knowledge, the first that systematically examines the trends and inter-relations among ABSA research and data distribution across domains and solution paradigms and approaches.
Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA)
no code implementations • 24 Oct 2023 • Xinglong Chang, Katharina Dost, Gillian Dobbie, Jörg Wicker
This paper presents a novel fully-agnostic framework, DIVA (Detecting InVisible Attacks), that detects attacks solely relying on analyzing the potentially poisoned data set.
no code implementations • 16 Oct 2023 • Xinglong Chang, Gillian Dobbie, Jörg Wicker
To demonstrate this risk is inherited in the adversary's objective, we propose FALFA (Fast Adversarial Label-Flipping Attack), a novel efficient attack for crafting adversarial labels.
1 code implementation • 17 Apr 2023 • Zac Pullar-Strecker, Xinglong Chang, Liam Brydon, Ioannis Ziogas, Katharina Dost, Jörg Wicker
Running complex sets of machine learning experiments is challenging and time-consuming due to the lack of a unified framework.
1 code implementation • 7 Oct 2021 • Zac Pullar-Strecker, Katharina Dost, Eibe Frank, Jörg Wicker
This work enables practitioners to employ active learning by providing actionable recommendations for which stopping criteria are best for a given real-world scenario.
1 code implementation • 2 May 2021 • Xinglong Chang, Katharina Dost, Kaiqi Zhao, Ambra Demontis, Fabio Roli, Gill Dobbie, Jörg Wicker
Applicability Domain defines a domain based on the known compounds and rejects any unknown compound that falls outside the domain.