A Unified Representation and Inference Paradigm for Natural Language

Roth, Dan; Sammons, Mark

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

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

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

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

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