Feed-Forward Network Model for Multi-Document Relation Classification
Using feed-forward artificial neural network to classify multi-document relation is the subject of this paper. Sentences across topically related documents can often be linked by means of relations that exist between them. In this study, we aim to identify four ty...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | en |
| Published: |
UTM
2013
|
| Subjects: | |
| Online Access: | http://eprints.utem.edu.my/id/eprint/10645/1/published.pdf http://eprints.utem.edu.my/id/eprint/10645/ http://se.cs.utm.my/ijic/index.php/ijic/issue/view/3 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | Using feed-forward artificial neural network to
classify multi-document relation is the subject of this paper.
Sentences across topically related documents can often be linked
by means of relations that exist between them. In this study, we
aim to identify four types of relations, namely, Identity,
Subsumption, Description and Overlap. We propose to use neural
network learning model for the task of classification; multi-class
classification, in this case. The performance of our proposed
approach was measured using Precision, Recall and F-measure.
The experimental findings demonstrate that better results can be
obtained by using the proposed approach when compared with
the widely used SVM classifier. |
|---|