Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
103 tokens/sec
GPT-4o
11 tokens/sec
Gemini 2.5 Pro Pro
50 tokens/sec
o3 Pro
5 tokens/sec
GPT-4.1 Pro
3 tokens/sec
DeepSeek R1 via Azure Pro
33 tokens/sec
2000 character limit reached

A Sheaf Model of Contradictions and Disagreements. Preliminary Report and Discussion (1801.09036v1)

Published 27 Jan 2018 in cs.CL

Abstract: We introduce a new formal model -- based on the mathematical construct of sheaves -- for representing contradictory information in textual sources. This model has the advantage of letting us (a) identify the causes of the inconsistency; (b) measure how strong it is; (c) and do something about it, e.g. suggest ways to reconcile inconsistent advice. This model naturally represents the distinction between contradictions and disagreements. It is based on the idea of representing natural language sentences as formulas with parameters sitting on lattices, creating partial orders based on predicates shared by theories, and building sheaves on these partial orders with products of lattices as stalks. Degrees of disagreement are measured by the existence of global and local sections. Limitations of the sheaf approach and connections to recent work in natural language processing, as well as the topics of contextuality in physics, data fusion, topological data analysis and epistemology are also discussed.

Citations (12)

Summary

We haven't generated a summary for this paper yet.