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Natural language processing, lexicon and semantics

E Wehrli1, R Clark

  • 1Dept. of Linguistics-LATL, University of Geneva, Switzerland.

Methods of Information in Medicine
|March 1, 1995
PubMed
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Developing a general natural language interpretation system is challenging. This study proposes "pseudo-semantics" as an intermediate step to bridge general syntactic processing with domain-specific interpretation, enhancing practicality and portability.

Area of Science:

  • Computational Linguistics
  • Natural Language Processing
  • Artificial Intelligence

Background:

  • Fully general semantico-pragmatic interpretation of natural language remains a significant challenge due to technological limitations.
  • Existing practical approaches, such as microworld-based systems, suffer from a lack of generality and portability.
  • A gap exists between highly general but impractical systems and specific but limited practical solutions.

Purpose of the Study:

  • To propose a novel intermediate representation, termed "pseudo-semantics," to bridge the gap between general syntactic processing and domain-specific interpretation.
  • To enhance the practicality and portability of natural language understanding systems.
  • To insulate the complexities of domain-dependent interpretation from the core syntactic processing.

Related Experiment Videos

Main Methods:

  • Deriving an intermediate "pseudo-semantics" representation from syntactic representations and lexical information using a general procedure.
  • Developing domain-dependent rules to interpret the "pseudo-semantics" representations.
  • Utilizing the intermediate representation to connect general natural language processing techniques with specific application domains.

Main Results:

  • Demonstrated a feasible method for creating an intermediate "pseudo-semantics" layer.
  • Showcased how this layer can be derived using general procedures from syntactic and lexical data.
  • Illustrated the potential for domain-specific rules to operate on this intermediate layer, improving interpretability.

Conclusions:

  • The proposed "pseudo-semantics" approach offers a viable compromise between generality and practicality in natural language interpretation.
  • This intermediate representation facilitates the development of more portable and adaptable natural language understanding systems.
  • By separating domain-specific knowledge, the system design becomes more modular and manageable.