Page 4 of 1331 to 40 of 123 Past Events
2022
May
-
Representation Learning for Relational and Cross-Lingual Data
-Utilising real-world relational signals (e.g., structured knowledge) and understanding different languages are two (of the many) fundamental goals of Artificial General Intelligence. The corresponding explorations, however, have been relatively separate. In this talk, I will introduce our recent research outputs on bridging this gap: - We discovered the unnoticed connections between...
-
The challenge of adherence to digital healthcare - the case of ASICA
-Patient-directed digital healthcare delivery is becoming increasingly prominent and has received impetus from the recent COVID pandemic. Patient-directed digital healthcare is viewed positively by policy makers as a means to increase healthcare access, reduce costs and increase efficiency. Patient-directed digital healthcare also appears to be popular with certain patient groups....
April
March
February
2021
November
-
Machine Learning-based Anomaly Detection and Perturbation Analysis in Nuclear Reactors
-This talk will provide an overview and main results of a recently finished 4-year £5M EU-H2020 project (Sep 2017 – Aug 2021) entitled “Core Monitoring Techniques and Experimental Validation and Demonstration (Cortex - https://cortex-h2020.eu/)” that involved 20 partners from 11 countries (EU, Japan and US). Georgios was leading activities in...
-
Formal Argumentation, Dialogue, Users and Explanation
-In this talk I will describe several related strands of research around the use of argumentation and dialogue for human/machine interaction. These include its use in the context of explanation of program behaviour, as an explanatory mechanism for complex opaque systems such as planners and of computational reasoning process such...
October
-
Generating and Reasoning with Argumentation Graphs
-In argumentation theory, we study how to model reasoning through the construction and evaluation of arguments using, so called, argumentation semantics. However, this two steps process (generation and evaluation) have been shown to be limiting due to the large number of arguments generated from real-life knowledge bases. Moreover, although it...
-
CS Seminar: Evaluating Natural Language Generation
-A key challenge in Natural Language Generation (NLG) is evaluating the quality of texts produced by an NLG system. Robust and reliable evaluation is essential to determining whether a new NLG model or system advances state-of-the-art, understanding weaknesses of current NLG systems, and giving users a good understanding of what...