Text as tautology: an exploration in inference, transitivity, and logical compression

Author(s):  
Andrew Potter

Abstract Rhetorical structure theory (RST) and relational propositions have been shown useful in analyzing texts as expressions in propositional logic. Because these expressions are systematically derived, they may be expected to model discursive reasoning as articulated in the text. If this is the case, it would follow that logical operations performed on the expressions would be reflected in the texts. In this paper the logic of relational propositions is used to demonstrate the applicability of transitive inference to discourse. Starting with a selection of RST analyses from the research literature, analyses of the logic of relational propositions are performed to identify their corresponding logical expressions and within each expression to identify the inference path implicit within the text. By eliminating intermediary relational propositions, transitivity is then used to progressively compress the expression. The resulting compressions are applied to the corresponding texts and their compressed RST analyses. The application of transitive inference to logical expressions results in abridged texts that are intuitively coherent and logically compatible with their originals. This indicates an underlying isomorphism between the inferential structure of logical expressions and discursive coherence, and it confirms that these expressions function as logical models of the text. Potential areas for application include knowledge representation, logic and argumentation, and RST validation.

2019 ◽  
Vol 9 (2) ◽  
pp. 80-110
Author(s):  
Andrew Potter

This paper describes how Rhetorical Structure Theory (RST) and relational propositions can be used to define a method for rendering and analyzing texts as expressions in propositional logic.  Relational propositions, the implicit assertions that correspond to RST relations, are defined using standard logical operators and rules of inference.  The resulting logical forms are used to construct logical expressions that map to RST tree structures.  The resulting expressions show that inference is pervasive within coherent texts.  To support reasoning over these expressions, a set of rules for negation is defined.  The logical forms and their negation rules can be used to examine the flow of reasoning and the effects of incoherence.  Because there is a correspondence between logical coherence and the functional relationships of RST, an RST analysis that cannot pass the test of logic is indicative either of a problematic analysis or of an incoherent text.  The result is a method for analyzing the logic implicit within discursive reasoning.


Author(s):  
Tomoyuki Kawase

Abstract This study is an extension of previous research on how writers of research articles (RAs) structure their texts to be coherent in the process of achieving communicative purposes of the RA genre. It examines how RA writers relate sentences in establishing a niche for their studies in the introduction section. Genre analysis methods and Rhetorical Structure Theory are used to analyse 40 applied linguistics RA introductions. The findings show that the RA writers who establish a niche by indicating a gap in previous research tend to use a concessive or contrastive relation to relate the gap statements to the descriptions of previous studies. The writers who establish a niche by indicating how their studies would extend previous research in the field tend to use a background relation to claim a niche based on the specific studies. The writers who indicate a real world problem for the niche establishment tend to use a background relation to reveal a niche based on contextual information surrounding the problem. Possible reasons for the selection of the relations are discussed in terms of the influence of the nature of the RA genre and/or the applied linguistics discipline.


AI Magazine ◽  
2009 ◽  
Vol 30 (4) ◽  
pp. 85 ◽  
Author(s):  
Per Ola Kristensson

For text entry methods to be useful they have to deliver high entry rates and low error rates. At the same time they need to be easy-to-learn and provide effective means of correcting mistakes. Intelligent text entry methods combine AI techniques with HCI theory to enable users to enter text as efficiently and effortlessly as possible. Here I sample a selection of such techniques from the research literature and set them into their historical context. I then highlight five challenges for text entry methods that aspire to make an impact in our society: localization, error correction, editor support, feedback, and context of use.


Author(s):  
Pamela M. Sullivan ◽  
Marianne Baker

In this chapter, the authors provide an overview of research literature for technology use with emergent-stage literacy learners. They review the overall research on technology for young children, then look at literacy and the role of technology in the classroom. The authors outline the development of literacy skills in the emergent stage (commonly defined as birth to age five). Finally, they use the framework established by the previous studies and the developmental sequence of the emergent stage to critically evaluate several literacy apps and e-books aimed at these learners. The authors finish with a selection of resources for selecting and using technology to foster these early literacy skills.


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