Abstract

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.

Keywords:
Anaphora (linguistics) Computer science Vector space model Extension (predicate logic) Representation (politics) Natural language processing Artificial intelligence Space (punctuation) Information retrieval Resolution (logic)

Metrics

3
Cited By
0.00
FWCI (Field Weighted Citation Impact)
7
Refs
0.09
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Topic Modeling
Physical Sciences →  Computer Science →  Artificial Intelligence
Natural Language Processing Techniques
Physical Sciences →  Computer Science →  Artificial Intelligence
Algorithms and Data Compression
Physical Sciences →  Computer Science →  Artificial Intelligence

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