Abstract
In the last ten years natural language processing (NLP) has become an essential part of many information retrieval systems, mainly in the guise of question answering, summarization, machine translation and preprocessing such as decompounding. However, most of these methods are shallow. More complex natural language processing is not yet sufficiently reliable to be used in IR. I will discuss how new visualization technology and rich interactive environments offer new opportunities for complex NLP in IR.
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© 2010 Springer-Verlag Berlin Heidelberg
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Schütze, H. (2010). IR, NLP, and Visualization. In: Gurrin, C., et al. Advances in Information Retrieval. ECIR 2010. Lecture Notes in Computer Science, vol 5993. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12275-0_3
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DOI: https://doi.org/10.1007/978-3-642-12275-0_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-12274-3
Online ISBN: 978-3-642-12275-0
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