Discovering Relations Between Named Entities from a Large Raw Corpus Using Tree Similarity-Based Clustering

@inproceedings{Zhang2005DiscoveringRB,
  title={Discovering Relations Between Named Entities from a Large Raw Corpus Using Tree Similarity-Based Clustering},
  author={Min Zhang and Jian Su and Danmei Wang and Guodong Zhou and Chew Lim Tan},
  booktitle={IJCNLP},
  year={2005}
}
We propose a tree-similarity-based unsupervised learning method to extract relations between Named Entities from a large raw corpus. Our method regards relation extraction as a clustering problem on shallow parse trees. First, we modify previous tree kernels on relation extraction to estimate the similarity between parse trees more efficiently. Then, the similarity between parse trees is used in a hierarchical clustering algorithm to group entity pairs into different clusters. Finally, each… CONTINUE READING
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