Corpus profiling with Nootropia

Nanas, Nikolaos and De Roeck, Anne (2008). Corpus profiling with Nootropia. In: BCS-IRSG Workshop on Corpus Profiling, 18 Oct 2008, London.

URL: http://www.bcs.org/upload/pdf/ewic_ir08_nikosnanas...

Abstract

The characteristics of different corpora influence the success of Information Retrieval and NLP methods. How to best characterise a corpus is still an unexplored research area. In this paper, we use a model that has so far been applied for user profiling in Information Filtering, to profile the corpora of the TIPSTER collection. Each corpus profile is a network of terms that allows the extraction of a series of statistical features. These features can be used to calculate the similarity between the corpora in TIPSTER. This is part of ongoing work that aims at providing a corpus profiling service that will map corpora to their features and to the corresponding experimental results of various models and techniques.

Viewing alternatives

Item Actions

Export

You can export this page using these formats

About

• Item ORO ID
• 27984
• Item Type
• Conference or Workshop Item
• Keywords
• corpus profiling, Nootropia
• Academic Unit or School
• Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
  Faculty of Science, Technology, Engineering and Mathematics (STEM)
• Research Group
• Centre for Research in Computing (CRC)
• Copyright Holders
• © 2008 Not known
• Related URLs
• • http://www.bcs.org/category/10690(Other)
• Depositing User
• Catherine McNulty