Paper at CMN 2012

At the Language Resources and Evaluation Conference (LREC 2012) in Istanbul, Turkey, I participated in the Computational Models of Narrative workshop.
Arguments as Narratives
Adam Wyner
Aspects of narrative coherence are proposed as a means to investigate and identify arguments from text. Computational analysis of argumentation largely focuses on representations of arguments that are either abstract or are constructed from a logical (e.g. propositional or first order) knowledge base. Argumentation schemes have been advanced for stereotypical patterns of defeasible reasoning. While we have well-formedness conditions for arguments in a first order language, namely the patterns for inference, the conditions for argumentation schemes is an open question, and the identification of arguments `in the wild’ is problematic. We do not understand the `source’ of rules from which inference follows; formally, well-formed `arguments’ can be expressed even with random sentences; moreover, argument indicators are sparse, so cannot be relied upon to identify arguments. As automated extraction of arguments from text increasingly finds important applications, it is pressing to isolate and integrate indicators of argument. To specify argument well-formedness conditions and identify arguments from unstructured text, we suggest using aspects of narrative coherence.
Slides for Arguments as Narratives
author = {Adam Wyner},
title = {Arguments as Narratives},
booktitle = {Proceedings of the Third Workshop on Computational Models of Narrative ({CMN} 2012)},
year = {2012},
editor = {Mark Finlayson},
pages = {178-180},
Shortlink to this page.
By Adam Wyner

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