LHIP: Extended DCGs for Configurable Robust Parsing

We present LHIP, a system for incremental grammar development using an extended DCG formalism. The system uses a robust island-based parsing method controlled by user-defined performance thresholds.Comment: 10 pages, in Proc. Coling9

Semantic robust parsing for noun extraction from natural language queries

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

Belief ascription, metaphor, and intensional identification

This paper discusses the extension of ViewGen, an algorithm derived for belief ascription, to the areas of speech acts, intensional object representation and metaphor. ViewGen represents the beliefs of agents as explicit, partitioned proposition-sets known as environments. Environments are convenient, even essential, for addressing important pragmatic issues of rea-soning. The paper concentrates on showing that the transfer of information in metaphors, intensional object representation, and ordinary, non-metaphorical belief ascription can all be seen as different manifestations of a single environment-amalgamation process. The paper also briefly discusses the addition of a heuristic-based relevance-determination procedure to ViewGen, and justifies the partitioning approach to belief ascription. 1