Similarities in Natural Language based Information Retrieval
نویسندگان
چکیده
منابع مشابه
Natural Language Information Retrieval
Information Retrieval (IR) in this collection of 14 original papers is broadly construed to include document retrieval, information extraction, question answering, clustering and classification. In the introduction Strzalkowski asks the provocative question Why hasn't NLP had more success in IR?, the answer to which ought to be of interest to readers of Computational Linguistics. Unfortunately,...
متن کاملNatural Language in Information Retrieval
It seems the time is ripe for the two to meet: NLP has grown out of prototypes and IR is having hard time trying to improve precision. Two examples of possible approaches are considered below. Lexware is a lexiconbased system for text analysis of Swedish applied in an information retrieval task. NLIR is an information retrieval system using intensive natural language processing to provide index...
متن کاملNatural Language Processing in Information Retrieval
Many Natural Language Processing (NLP) techniques have been used in Information Retrieval. The results are not encouraging. Simple methods (stopwording, porter-style stemming, etc.) usually yield significant improvements, while higher-level processing (chunking, parsing, word sense disambiguation, etc.) only yield very small improvements or even a decrease in accuracy. At the same time, higher-...
متن کاملNatural Language Understanding, Semantic-based Information Retrieval and Knowledge Management
Natural language understanding (NLU) has been taken as one of the core fields, and the hardest one among others, of Artificial Intelligence. As such, it has been considered an impractical technology from the perspective of the real world application. However, the situation surrounding NLU has been changing rapidly. We have witnessed large knowledge resources being constructed, manually or autom...
متن کاملIRENA: Information Retrieval Engine based on Natural Language Analysis
The experimental IRENA system was developed to study the improvement of precision and recall in document retrieval systems by means of Natural Language Processing (NLP) techniques. The NLP component deals with the morphological, lexical and syntactical part of the English language. For the purpose of syntactical analysis of both queries and documents, the power of the AGFL formalism was explore...
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ژورنال
عنوان ژورنال: Journal of Japan Society for Fuzzy Theory and Systems
سال: 2001
ISSN: 0915-647X,2432-9932
DOI: 10.3156/jfuzzy.13.5_16