no code implementations • 2 May 2024 • Xuyao Feng, Anthony Hunter
To address the need for an explainable approach to RTE, we propose a novel pipeline that is based on translating text into an Abstract Meaning Representation (AMR) graph.
no code implementations • 22 Jan 2024 • Aissatou Diallo, Antonis Bikakis, Luke Dickens, Anthony Hunter, Rob Miller
We iteratively learn the graph structure and the parameters of a $\mathsf{GNN}$ encoding the texts (text-to-graph) one sequence at a time while providing the supervision by decoding the graph into text (graph-to-text) and comparing the generated text to the input.
no code implementations • 12 Jan 2024 • Aissatou Diallo, Antonis Bikakis, Luke Dickens, Anthony Hunter, Rob Miller
Decoding the core of procedural texts, exemplified by cooking recipes, is crucial for intelligent reasoning and instruction automation.
2 code implementations • 15 Nov 2023 • David Chanin, Anthony Hunter, Oana-Maria Camburu
Transformer language models (LMs) have been shown to represent concepts as directions in the latent space of hidden activations.
no code implementations • 8 Aug 2023 • Anthony Hunter
Argument graphs provide an abstract representation of an argumentative situation.
no code implementations • 15 Jun 2023 • Antonis Bikakis, Aissatou Diallo, Luke Dickens, Anthony Hunter, Rob Miller
Whilst cooking is a very important human activity, there has been little consideration given to how we can formalize recipes for use in a reasoning framework.
3 code implementations • 14 Mar 2023 • David Chanin, Anthony Hunter
We present a novel system for taking social rules of thumb (ROTs) in natural language from the Social Chemistry 101 dataset and converting them to first-order logic where reasoning is performed using a neuro-symbolic theorem prover.
1 code implementation • 10 Dec 2021 • Jetsun Whitton, Anthony Hunter
However, it relies on labour-intensive systematic reviews, where domain specialists must aggregate and extract information from thousands of publications, primarily of randomised controlled trial (RCT) results, into evidence tables.
Joint Entity and Relation Extraction named-entity-recognition +3
1 code implementation • 9 Dec 2021 • Ivan Donadello, Anthony Hunter, Stefano Teso, Mauro Dragoni
and (2) How can we identify for a new user the best utility function from amongst those that we have learned?
no code implementations • 17 Sep 2021 • Antonis Bikakis, Luke Dickens, Anthony Hunter, Rob Miller
Repurposing arises in everyday situations such as finding substitutes for missing ingredients when cooking, or for unavailable tools when doing DIY.
no code implementations • 28 Jan 2021 • Emmanuel Hadoux, Anthony Hunter, Sylwia Polberg
Persuasion is an important and yet complex aspect of human intelligence.
no code implementations • 12 Jun 2019 • Nico Potyka, Sylwia Polberg, Anthony Hunter
Probabilistic epistemic argumentation allows for reasoning about argumentation problems in a way that is well founded by probability theory.
no code implementations • 2 May 2019 • Lisa A. Chalaguine, Anthony Hunter, Fiona L. Hamilton, Henry W. W. Potts
Conversational agents, also known as chatbots, are versatile tools that have the potential of being used in dialogical argumentation.
no code implementations • 4 Sep 2018 • Anthony Hunter
Nonetheless, there are issues in capturing defeasible reasoning in argumentation including choice of base logic and modelling of defeasible knowledge.
no code implementations • 11 May 2018 • Lisa A. Chalaguine, Anthony Hunter, Henry W. W. Potts, Fiona L. Hamilton
We describe the architecture of the chatbot, provide methods for managing a corpus of arguments and counterarguments, and an evaluation of our approach in a case study concerning attitudes of women to participation in sport.
no code implementations • 27 Feb 2018 • Lisa Chalaguine, Emmanuel Hadoux, Fiona Hamilton, Andrew Hayward, Anthony Hunter, Sylwia Polberg, Henry W. W. Potts
At the core of this proposal is an ontology which provides a representation of key factors, in particular kinds of belief, which we have identified in the behaviour change literature as being important in diverse behaviour change initiatives.
no code implementations • 21 Feb 2018 • Anthony Hunter, Sylwia Polberg, Matthias Thimm
Furthermore, the flexibility of the epistemic approach allows us to both model the rationale behind the existing semantics as well as completely deviate from them when required.
no code implementations • 9 Aug 2017 • Anthony Hunter
There have been a number of developments in measuring inconsistency in logic-based representations of knowledge.
no code implementations • 28 Jul 2017 • Sylwia Polberg, Anthony Hunter
It is equipped with a wide range of postulates, including those that do not make any restrictions concerning how initial arguments should be viewed, thus potentially being more adequate for handling beliefs of the people that have not fully disclosed their opinions in comparison to Dung's semantics.
no code implementations • 9 Nov 2016 • Martin Diller, Anthony Hunter
CP-nets and their variants constitute one of the main AI approaches for specifying and reasoning about preferences.
2 code implementations • 17 Sep 2015 • Antonio Trenta, Anthony Hunter, Sebastian Riedel
An evidence table has columns for the patient group, for each of the interventions being compared, for the criterion for the comparison (e. g. proportion who survived after 5 years from treatment), and for each of the results.
no code implementations • 14 May 2014 • Anthony Hunter, Matthias Thimm
We consider various constraints on the probability assignment.
no code implementations • 29 Apr 2014 • Anthony Hunter
We also consider how the finite state machines can be analysed, with the minimax strategy being used as an illustration of the kinds of empirical analysis that can be undertaken.