Abstract | A number of word similarity measures are proposed for clustering words for the Named Entity Recognition task. |
Conclusion | A number of word similarity measures are used for clustering. |
Evaluation of NE Recognition | Among the various similarity measures of clustering, improved results are obtained using the clus- |
Evaluation of NE Recognition | ters which uses the similarity measurement based on proximity of the words to NE categories (defined in Section 3.3). |
Word Clustering | The Euclidean distance is used to find the similarity between the above word vectors as a similarity measure . |
Word Clustering | Using the above similarity measures we have used the k-means algorithm. |