An attempt of Natural Language Interface for Text Retrieval

Document Representation in Natural Language Text Retrieval

In information retrieval, the content of a document may be represented as a collection of terms: words, stems, phrases, or other units derived or inferred from the text of the document. These terms are usually weighted to indicate their importance within the document which can then be viewed as a vector in a Ndimensional space. In this paper we demonstrate that a proper term weighting is at lea...

Recent Developments in Natural Language Text Retrieval

This paper reports on some recent developments in our natural language text retrieval system. The system uses advanced natural language processing techniques to enhance the effectiveness of term-based document retrieval. The backbone of our system is a traditional statistical engine which builds inverted index files from pre-processed documents, and then searches and ranks the documents in resp...

XML Retrieval with a Natural Language Interface

Effective information retrieval in XML documents requires the user to have good knowledge of document structure and of some formal query language. XML query languages like XPath and XQuery are too complex to be considered for use by end users. We present an approach to XML query processing that supports the specification of both textual and structural constraints in natural language. We impleme...

An Intelligent Natural-language Interface for ArcView

The ordinary GIS systems use command line, menu or window interface, which are difficult for a naïve user to use. In this paper, SNePS (the Semantic Network Processing System) is used to represent geographic spatial knowledge. An intelligent naturallanguage interface between ArcView and SNePS (the Semantic Network Processing System) was implemented. The interface will accept the input command a...

Natural-Language Interface for an Instructable Robot