Revisiting Cross-document Structure Theory for multi-document discourse parsing

Author:

Maziero Erick Galani,Jorge Maria Lucía del Rosário Castro,Pardo Thiago Alexandre Salgueiro

Publisher

Elsevier BV

Subject

Library and Information Sciences,Management Science and Operations Research,Computer Science Applications,Media Technology,Information Systems

Reference48 articles.

1. Afantenos, S. D., Doura, I., Kapellou, E., & Karkaletsis, V. (2004). Exploiting cross-document relations for multi-document evolving summarization. In Proceedings of the 3rd Hellenic conference on artificial intelligence (pp. 410–419).

2. Afantenos, S. D. (2007). Reflections on the task of content determination in the context of multi-document summarization of evolving events. In Paper presented at the recent advances in natural language processing conference, Borovets, Bulgaria.

3. Combining multiple classifiers to improve part of speech tagging: A case study for Brazilian Portuguese;Aires;Proceedings of the Brazilian Artificial Intelligence Symposium,2000

4. Aleixo, P., & Pardo, T. A. S. (2008). Finding related sentences in multiple documents for multidocument discourse parsing of Brazilian Portuguese texts. In Annals of the VI workshop of information technology and human language (pp. 26–28).

5. Allan, J. (1996). Automatic hypertext link typing. In Proceeding of the 7th conference on hypertext (pp. 42–52).

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