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NLP and Digital Library Management
Abstract
The field of study of Natural Language Processing (NLP) has developed over the past 50 years or so, producing an array of now mature technology, such as automatic morphological analysis, word sense disambiguation, parsing, anaphora resolution, natural language generation, named entity recognition, etc. The proliferation of large digital collections (evolving into Digital Libraries) and the emerging economic value of information demand efficient solutions for managing the information which is available, but which is not always easy to find. This chapter presents the requirements for handling documents in digital libraries and explains how existing NLP technology can be used to facilitate the task of document management.
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