Los Angeles, CA
March 31, 2009 to April 2, 2009
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CSIE.2009.833
Classical information retrieval models are based on representation of document terms without considering linguistic elements. This article presents a model based on the Discourse Nominal Structure; which lets us take linguistic characteristics of text into account. The model presented is evaluated in comparison with the vector space model. Based on observations during the experimentation we propose modifications to the model in order to achieve a better qualitative performance than originally.
Information Retrieval, Anaphora Resolution, Natural Language Processing, Document Processing
Francisco Santiago_do_Carmo Pereira, Hilário Seibel Júnior, Sérgio Antônio Andrade de Freitas, "An Anaphora Based Information Retrieval Model Extension", CSIE, 2009, 2009 WRI World Congress on Computer Science and Information Engineering, CSIE, 2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009, pp. 330-334, doi:10.1109/CSIE.2009.833