Semantic robust parsing for noun extraction from natural language queries

1999/09/02 by Afzal Ballim, Vincenzo Pallotta
Computer Science · #cs.CL

paper · pdf

published as Proceedings of WPDI'99 (Workshop on Procedures in Discourse Interpretation),1999, Iasi - Romania

arxiv created 1999/09/02 · arxiv updated 2009/11/30

Abstract

This paper describes how robust parsing techniques can be fruitful applied for building a query generation module which is part of a pipelined NLP architecture aimed at process natural language queries in a restricted domain. We want to show that semantic robustness represents a key issue in those NLP systems where it is more likely to have partial and ill-formed utterances due to various factors (e.g. noisy environments, low quality of speech recognition modules, etc...) and where it is necessary to succeed, even if partially, in extracting some meaningful information.

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