Wikipedia Named Entity Disambiguation Semantic Relatedness Graph
Issue Date:
2010
Publisher:
Institute of Mathematics and Informatics Bulgarian Academy of Sciences
Citation:
Serdica Journal of Computing, Vol. 4, No 2, (2010), 217p-242p
Abstract:
One of the ultimate aims of Natural Language Processing is to
automate the analysis of the meaning of text. A fundamental step in that
direction consists in enabling effective ways to automatically link textual
references to their referents, that is, real world objects. The work presented
in this paper addresses the problem of attributing a sense to proper names
in a given text, i.e., automatically associating words representing Named
Entities with their referents. The method for Named Entity Disambiguation
proposed here is based on the concept of semantic relatedness, which in this
work is obtained via a graph-based model over Wikipedia. We show that,
without building the traditional bag of words representation of the text,
but instead only considering named entities within the text, the proposed
method achieves results competitive with the state-of-the-art on two different
datasets.