A couple of more papers which have been accepted at upcoming conferences or workshops. The papers are all downloadable from the links provided.
Arguing with Emotion
Martyn Llloyd-Kelly and Adam Wyner
UMMS July 11, Girona, Spain
The paper at the link is a draft and will be somewhat revised for distribution at the workshop.
Abstract
Emotions are commonly thought to be beyond the pale of rational analysis, for they are subjective, may vary even with respect to the person experiencing the emotion, and may conflict with rational thought. In this paper, we develop the position that emotions can be the objects of argumentation, which we express by introducing emotion terms in emotional argumentation schemes. Thus, we can argue about whether or not, according to normative standards and available evidence, it is plausible that an individual had a particular emotion. This is particularly salient in legal cases, where decisions can depend on explicit arguments about emotional states.
On the Linguistic Analysis of Argumentation Schemes
Adam Wyner
LAGB September 7-10, Manchester, United Kingdom
This is an accepted abstract of a paper which is as yet to be written.
By Adam Wyner
Distributed under the Creative Commons
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Category: Papers
Recent Papers
My colleagues and I have had the papers below accepted for upcoming conferences. The papers are all downloadable from the links provided.
Towards a Structured Online Consultation Tool
Adam Wyner, Katie Atkinson, and Trevor Bench-Capon
ePart August 2011, Deflt, The Netherlands
Abstract
The Structured Online Consultation tool (SCT) is a component tool in the IMPACT Project which is used to construct and present detailed surveys that solicit feedback from the public concerning issues in public policy. The tool is underwritten by a computational model of argumentation, incorporating fine-grained, interconnected argumentation schemes. While the public responds to easy to understand questions, the answers can be assimilated into a structured framework for analytic purposes, supporting automated reasoning about arguments and counter-arguments.
Multi-agent Based Classification Using Argumentation From Experience
Maya Wardeh, Frans Coenen, Trevor Bench-Capon, and Adam Wyner
PAKDD May 2011, Shenzhen, China
Abstract
An approach to multi-agent classification, using an Argumentation from Experience paradigm is describe, whereby individual agents argue for a given example to be classified with a particular label according to their local data. Arguments are expressed in the form of classification rules which are generated dynamically. The advocated argumentation process has been implemented in the PISA multi-agent framework, which is also described. Experiments indicate that the operation of PISA is comparable with other classification approaches and that it can be utilised for Ordinal Classification and Imbalanced Class problems.
Note: I was added to this paper to present it at the conference. I’m familiar with the argumentation aspects, but the data-mining is new to me.
Semantic Models for Policy Deliberation
Katie M. Atkinson, Trevor J.M. Bench-Capon, Dan Cartwright and Adam Z. Wyner
ICAIL June 2011, Pittsburgh, USA
Abstract
Semantic models have received little attention in recent years, much of their role having been taken over by developments in ontologies. Ontologies, however, are static, and so have only a limited role in reasoning about domains in which change matters. In this paper, we focus on the domain of policy deliberation, where policy decisions are designed to change things to realise particular social values. We explore how a particular kind of state transition system can be constructed to serve as a semantic model to support reasoning about alternative policy decisions. The policy making process includes stages that support the construction of a model, which can then be exploited in reasoning. The reasoning itself will be driven by a particular argumentation scheme for practical reasoning, and the ways in which arguments based on this scheme can be attacked and evaluated. The evaluation provides alternative policy positions. The semantics underpin a current web-based implementation, designed to solicit structured feedback on policy proposals.
Towards Formalising Argumentation about Legal Cases
Adam Z. Wyner, Trevor J.M. Bench-Capon, Katie M. Atkinson
ICAIL June 2011, Pittsburgh, USA
Abstract
In this paper we offer an account of reasoning with legal cases in terms of argumentation schemes. These schemes, and undercutting attacks associated with them, are expressed as defeasible rules of inference that will lend themselves to formalisation within the ASPIC+ framework. We begin by modelling the style of reasoning with cases developed by Aleven and Ashley in the CATO project, which describes cases using factors, and then extend the account to accommodate the dimensions used in Rissland and Ashley’s earlier HYPO project. Some additional scope for argumentation is then identified and formalised.
By Adam Wyner
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New Paper on Legal Case Factor Annotation and Extraction
Wim Peters and I have a paper which will appear in the proceedings of Semantic Processing of Legal Texts Workshop at the Language Resources and Evaluation Conference 2010. See the previous blog post about the workshop and the schedule.
Towards Annotating and Extracting Textual Legal Case Factors
Adam Wyner and Wim Peters
To appear in the Proceedings of Language Resources and Evaluation Conference 2010
Abstract
Case based reasoning is a crucial aspect of common law practice, where lawyers select precedent cases which they use to argue for or against a decision in a current case. To select the precedents, the relevant facts (the case factors) of precedent cases must be identified; the factors predispose the case decision for one side or the other. As the factors of cases are linguistically expressed, it is useful to provide a means to automate the identification of candidate passages. We outline and report the results of our approach to the identification of legal case factors which follows a bottom-up knowledge heavy strategy and uses the General Architecture for Text Engineering system. Salient lexical items are selected, concept classes of related terms are created, and annotation rules for simple and compound concepts are provided. The annotated concepts can be extracted from the cases, and cases can be classified with respect to the concepts. In addition to supporting extraction of relevant information, the approach has a didactic use in helping to train lawyers to perform close textual analysis. Finally, we carry out an initial collaborative, online annotation exercise using GATE TeamWare in order to develop a gold standard.
By Adam Wyner
Distributed under the Creative Commons
Attribution-Non-Commercial-Share Alike 2.0