Download Advances in Natural Language Processing: 7th International by Hrafn Loftsson, Eirikur Rögnvaldsson, Sigrun Helgadottir PDF

By Hrafn Loftsson, Eirikur Rögnvaldsson, Sigrun Helgadottir

This e-book constitutes the complaints of the seventh foreign convention on Advances in average Language Processing held in Reykjavik, Iceland, in August 2010.

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Additional resources for Advances in Natural Language Processing: 7th International Conference on NLP, IceTAL 2010, Reykjavik, Iceland, August 16-18, 2010, Proceedings

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2. Define the features as the set of words extracted from the summaries, eliminating the stop words. In contrast to this approach, the common (statistical) feature selection process defines the features as the set of words having positive information gain (IG > 0) within the entire dataset. That is, it selects the words whose presence or absence gives the larger information for category prediction. 2 Evaluation Datasets For the experiments we used the R8 collection [1]. This collection is formed by the eight largest categories from the Reuters-21578 corpus, which documents belong to only one class.

Conversational Agents. The Practical Handbook of Internet Computing. Chapman and Hall, Boca Raton (2004) 2. : What would you ask a Conversational Agent? Observations of Human-Agent Dialogues in a Museum Setting. In: Proceedings of the Sixth International Language Resources and Evaluation (LREC 2008), Marrakech, Morocco (2008) 26 E. Acerbi, G. P´erez, and F. Stella 3. : The Unfriendly User: Exploring Social Reactions to Chatterbots. In: Proceedings of International Conference on Affective Human Factor Design, pp.

Loftsson, E. Rögnvaldsson, S. ): IceTAL 2010, LNAI 6233, pp. 39–44, 2010. © Springer-Verlag Berlin Heidelberg 2010 40 E. Anguiano-Hernández et al. extractive summarization. First, it has demonstrated to capture the essence of texts by selecting their most important sections, and, consequently, a subset of words adequate for their description. Second, it is an inherently local process, where each document is reduced individually, bypassing the restrictions imposed by the size of the given training set.

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