By Manuela Angioni, Emanuela De Vita (auth.), Vincenzo Pallotta, Alessandro Soro, Eloisa Vargiu (eds.)
This quantity comprises revised and prolonged models of papers awarded on the 4th version of the foreign workshop on dispensed and Agent-based Retrieval Toos (DART'10) held in June 2010, at the side of the Symposium on Human Language know-how for the knowledge Society, in Geneva, Swizerland. Practitioners and researchers engaged on pervasive and clever entry to internet providers and dispensed details retrieval met to proportion their effects and insights in interesting and difficult themes corresponding to: (i) social media and collaboration, (ii) new demanding situations in seek expertise, (iii) sentiment research and opinion mining, (iv) allotted info retrieval, (v) pervasive intelligence. each bankruptcy, ahead of discussing intensive the categorical subject, offers a complete assessment of similar paintings and cutting-edge, within the wish of this quantity to be of use within the years yet to come, to either researchers and students.
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Extra info for Advances in Distributed Agent-Based Retrieval Tools
Routledge, London (1990) Beaver: The optimization of discourse anaphora. : Representativeness in corpus design. : Shallow methods for named entity coreference resolution. : Latent semantic analysis for text segmentation. In: Proceedings of NAACL 2001, pp. : Références anaphoriques, références déictiques, et contexte prédicatif et énonciatif. : New Learning Models for Robust Reference Resolution. : PYCOT: An Optimality Theory-based Pronoun Resolution Toolkit. : Modeling Discourse Topic: sequential relations and strategies in expository text.
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1992). The core module of our topic detection system is RefGen, the reference chain identification module. 4. The output of the topic detection module is a set of topics associated to each document. We apply the reference chain identification algorithm to each segment, to propose some local topic candidates. We select the starting elements of the reference chains as local topics. Then, we check criteria such as frequency (several chains referring to the same entity), position in the document (if the topic occurs in the title or in the first paragraph of the document) and topic continuity among several segments, to propose topic candidates describing the document.
Advances in Distributed Agent-Based Retrieval Tools by Manuela Angioni, Emanuela De Vita (auth.), Vincenzo Pallotta, Alessandro Soro, Eloisa Vargiu (eds.)