Search Results for author: Timothy J. Norman

Found 11 papers, 3 papers with code

M-Arg: Multimodal Argument Mining Dataset for Political Debates with Audio and Transcripts

1 code implementation EMNLP (ArgMining) 2021 Rafael Mestre, Razvan Milicin, Stuart Middleton, Matt Ryan, Jiatong Zhu, Timothy J. Norman

In this paper, we present M-Arg, a multimodal argument mining dataset with a corpus of US 2020 presidential debates, annotated through crowd-sourced annotations.

Argument Mining

Optimising Long-Term Outcomes using Real-World Fluent Objectives: An Application to Football

no code implementations18 Feb 2021 Ryan Beal, Georgios Chalkiadakis, Timothy J. Norman, Sarvapali D. Ramchurn

In this paper, we present a novel approach for optimising long-term tactical and strategic decision-making in football (soccer) by encapsulating events in a league environment across a given time frame.

Decision Making

Combining Machine Learning and Human Experts to Predict Match Outcomes in Football: A Baseline Model

no code implementations8 Dec 2020 Ryan Beal, Stuart E. Middleton, Timothy J. Norman, Sarvapali D. Ramchurn

In this paper, we present a new application-focused benchmark dataset and results from a set of baseline Natural Language Processing and Machine Learning models for prediction of match outcomes for games of football (soccer).

Natural Language Processing

SHACL Satisfiability and Containment (Extended Paper)

no code implementations31 Aug 2020 Paolo Pareti, George Konstantinidis, Fabio Mogavero, Timothy J. Norman

We study the interaction of SHACL features in this logic and provide the detailed map of decidability and complexity results of the aforementioned decision problems for different SHACL sublanguages.

Translation

Optimising Game Tactics for Football

no code implementations23 Mar 2020 Ryan Beal, Georgios Chalkiadakis, Timothy J. Norman, Sarvapali D. Ramchurn

In this paper we present a novel approach to optimise tactical and strategic decision making in football (soccer).

Decision Making Game of Football

A Policy Editor for Semantic Sensor Networks

no code implementations15 Nov 2019 Paolo Pareti, George Konstantinidis, Timothy J. Norman

An important use of sensors and actuator networks is to comply with health and safety policies in hazardous environments.

SHACL Constraints with Inference Rules

1 code implementation1 Nov 2019 Paolo Pareti, George Konstantinidis, Timothy J. Norman, Murat Şensoy

On the one hand, SHACL constraints can be used to define a "schema" for graph datasets.

Rule Applicability on RDF Triplestore Schemas

1 code implementation2 Jul 2019 Paolo Pareti, George Konstantinidis, Timothy J. Norman, Murat Şensoy

Output schemas model the graphs that would be obtained by running the rules on the graph models of the input schema.

On Natural Language Generation of Formal Argumentation

no code implementations13 Jun 2017 Federico Cerutti, Alice Toniolo, Timothy J. Norman

In this paper we provide a first analysis of the research questions that arise when dealing with the problem of communicating pieces of formal argumentation through natural language interfaces.

Text Generation

Subjective Logic Operators in Trust Assessment: an Empirical Study

no code implementations19 Nov 2013 Federico Cerutti, Alice Toniolo, Nir Oren, Timothy J. Norman

Computational trust mechanisms aim to produce trust ratings from both direct and indirect information about agents' behaviour.

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