Aggregating Inter-Sentence Information to Enhance Relation Extraction

@inproceedings{Zheng2016AggregatingII,
  title={Aggregating Inter-Sentence Information to Enhance Relation Extraction},
  author={Hao Zheng and Zhoujun Li and Senzhang Wang and Zhao Yan and Jianshe Zhou},
  booktitle={AAAI},
  year={2016}
}
Previous work for relation extraction from free text is mainly based on intra-sentence information. As relations might be mentioned across sentences, inter-sentence information can be leveraged to improve distantly supervised relation extraction. To effectively exploit inter-sentence information , we propose a ranking-based approach, which first learns a scoring function based on a listwise learning-to-rank model and then uses it for multi-label relation extraction. Experimental results verify… CONTINUE READING
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