University of Illinois Urbana-Champaign

A Unified Representation and Inference Paradigm for Natural Language

Roth, Dan; Sammons, Mark

Content Files
A Unified Representation and Inference Paradigm for Natural Language.pdf

Permalink

https://hdl.handle.net/2142/11459

Description

Title
A Unified Representation and Inference Paradigm for Natural Language
Author(s)
  • Roth, Dan
  • Sammons, Mark
Issue Date
2008-06
Keyword(s)
natural language processing
Date of Ingest
2009-04-22T21:46:25Z
Abstract
Traditional approaches to Natural Language Text Processing limit performance and flexibility by committing to canonical reprentations of input text, while many NLP applications for general tasks such as Textual Entailment use ad-hoc architectures with limited flexibility, and which limit the expressiveness of inference procedures over components. We present a Modular Representation and Comparison Scheme (MRCS) that addresses these problems by combining a modular representation with a modular, unification-like inference algorithm that allows the system architect to defer appropriate disambiguation decisions until run-time.
Type of Resource
text
Genre of Resource
Technical Report
Permalink
http://hdl.handle.net/2142/11459
Copyright and License Information
You are granted permission for the non-commercial reproduction, distribution, display, and performance of this technical report in any format, BUT this permission is only for a period of 45 (forty-five) days from the most recent time that you verified that this technical report is still available from the University of Illinois at Urbana-Champaign Computer Science Department under terms that include this permission. All other rights are reserved by the author(s).

Owning Collections

Research and Tech Reports - Computer Science PRIMARY