Information Access Using Natural Language
نویسندگان
چکیده
The Problem: With recent advances in computer and Internet technology, people have access to more information than ever before. As the amount of information grows, so does the problem of finding what one is looking for. We believe that the most natural form of communication and information access for humans is natural language. We propose to address the growing information access problem with a uniform natural language interface.
منابع مشابه
Multilingual Access to Online Help Systems and Databases
In this paper we present the AMSABEL system, a natural language based information retrieval system. AMSABEL provides access to data stored in a relational database using unrestricted natural language. Queries can be expressed in either, English or Spanish, thereby providing direct access to the database for non-expert users. The system relies on machine learning techniques to translate the orig...
متن کاملLinguistic Knowledge: An Intelligent Information Retrieval System
This paper describes the results of some experiments using a new approach to information access that combines techniques from natural language processing and knowledge representation with a penalty based technique for relevance estimation and passage retrieval. Unlike many attempts to combine natural language processing with information retrieval, these results show substantial benefit from usi...
متن کاملSemantic Analysis of Natural Language Queries Using Domain Ontology for Information Access from Database
This paper describes a method for semantic analysis of natural language queries for Natural Language Interface to Database (NLIDB) using domain ontology. Implementation of NLIDB for serious applications like railway inquiry, airway inquiry, corporate or government call centers requires higher precision. This can be achieved by increasing role of language knowledge and domain knowledge at semant...
متن کاملImproving the Precision of Information Retrieval Systems Using Syntactic Relations
The Problem: Traditional information retrieval systems based on the “bag-of-words” paradigm cannot capture the semantic content of documents. While these systems are relatively robust and have high recall, they suffer from very poor precision. On the other hand, it is impossible with current technology to build a practical information access system that fully analyzes and understands unrestrict...
متن کاملSapere: Improving the Precision of Information Retrieval Systems Using Syntactic Relations
The Problem: Traditional information retrieval systems based on the “bag-of-words” paradigm cannot capture the semantic content of documents. While these systems are relatively robust and have high recall, they suffer from very poor precision. On the other hand, it is impossible with current technology to build a practical information access system that fully analyzes and understands unrestrict...
متن کامل