Conceptual Indexing of Documents Using Wikipedia
WI-IAT '11 Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 01
Named entity recognition and disambiguation using linked data and graph-based centrality scoring
SWIM '12 Proceedings of the 4th International Workshop on Semantic Web Information Management
A term normalization method for better performance of terminology construction
ICAISC'12 Proceedings of the 11th international conference on Artificial Intelligence and Soft Computing - Volume Part I
A term normalization method for efficient knowledge acquisition through text processing
Multimedia Tools and Applications
| Hi-index | 0.00 |
In this paper an approach based on Wikipedia link structure for sense disambiguation is presented and evaluated. Wikipedia is used as a reference to obtain lexicographic relationships and in combination with statistical information extraction it is possible to deduce concepts related to the terms extracted from a corpus. In addition, since the corpus covers a representation of a part of the real world the corpus itself is used as ”training data” for choosing the sense which best fit the corpus.