I have gave a talk about my paper at the ECAI workshop on Computational Models of Natural Argumentation 2012 and also presented an invited talk at the RuleML 2012 conference. The PDFs of these talks are below.
Questions, arguments, and natural language semantics
Translating Rules in Natural Language to RuleML
Shortlink to this page.
By Adam Wyner
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License.
Month: August 2012
Papers at CMNA 2012 and AT 2012
Recent papers at two conferences. One is in the 12th workshop on Computational Models of Natural Argument (CMNA 2012), Montpellier, France. A second paper is in the 1st International Conference on Agreement Technologies (AT 2012), Dubrovnik, Croatia.
Questions, arguments, and natural language semantics
Adam Wyner
Abstract
Computational models of argumentation can be understood to bridge between human and automated reasoning. Argumentation schemes represent stereotypical, defeasible reasoning patterns. Critical questions are associated with argumentation schemes and are said to attack arguments. The paper highlights several issues with the current understanding of critical questions in argumentation. It provides a formal semantics for questions, an approach to instantiated argumentation schemes, and shows how the semantics of questions clarifies the issues. In this approach, questions do not attack schemes, though answers to questions might.
Bibtex
@INPROCEEDINGS{WynerCMNA2012,
author = {Adam Wyner},
title = {Questions, Arguments, and Natural Language Semantics},
booktitle = {Proceedings of the 12th Workshop on Computational Models of Natural Argumentation ({CMNA} 2012)},
year = {2012},
address = {Montpellier, France},
note = {To appear}}
Arguing from a Point of View
Adam Wyner and Jodie Schneider
Abstract
Evaluative statements, where some entity has a qualitative attribute, appear widespread in blogs, political discussions, and consumer websites. Such expressions can occur in argumentative settings, where they are the conclusion of an argument. Whether the argument holds depends on a the premises that express a user’s point of view. Where different users disagree, arguments may arise. There are several ways to represent users, e.g. by values and other parameters. The paper proposes models and argumentation schemes for evaluative expressions, where the arguments and attacks between arguments are relative to a user’s model.
Bibtex
@INPROCEEDINGS{WynerSchneider2012AT,
author = {Adam Wyner and Jodi Schneider},
title = {Arguing from a Point of View},
booktitle = {Proceedings of the First International Conference on Agreement Technologies},
year = {2012},
address = {Dubrovnick, Croatia},
note = {To appear}}
Shortlink to this page.
By Adam Wyner
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License.
Presentation on Argument Mining at the London Text Analytic Meetup
On July 13 at Fizzback HQ in London, I presented a talk at the London Text Analytic Meetup on Argument Mining. The slides are available at the link below.
Comments on Natural Language and Argumentation
Adam Wyner
Abstract
Opinion and sentiment mining of web-based content are widely done to find out the views of users about consumer goods or politics, but the techniques rely on accrual, do not identify justification, and do not provide structure to support reasoning. Argument mining provides an articulated view of web-based content, identifying justifications, counterpoints, and structure for reasoning.
Two other papers were presented at the meetup.
One by Francesca Toni and Lucas Carstens from Imperial College:
Sentiment Analysis is concerned with differentiating opinionated text from factual text and, in the case of opinionated text, determine its polarity. With this paper, we present A-SVM, a system that tackles the discrimination of opinionated text from non-opinionated text with the help of Support Vector Machines (SVM). In a two-step process, SVM classifications are improved via arguments, acquired by means of a user feedback mechanism. The system has been used to investigate the merits of approaching Sentiment Analysis in a multi faceted manner by comparing straightforward Machine Learning techniques with this multimodal system architecture. All evaluations were executed using a purpose-built corpus of annotated text and its classification performance was compared to that of SVM. The classification of a test set of approximately 12,000 words yielded an increase in classification precision of 5.6%.
Another paper by Francesca Toni and Valentinos Evripidou from Imperial College
We describe a new argumentation method for analysing opinion exchanges between on-line users aiding them to draw informative, structured and meaningful information. Our method combines different factors, such as social support drawn from votes and attacking/supporting relations between opinions interpreted as abstract arguments. We show a prototype web application which puts into use this method to offer anintelligent business directory allowing users to engage in debate and aid them to extract the dominant, emerging public opinion.
By Adam Wyner
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License.