Relation Adaptation: Learning to Extract Novel Relations with Minimum Supervision

Bollegala, Danushka; Matsuo, Yutaka; Ishizuka, Mitsuru

doi:10.5591/978-1-57735-516-8/IJCAI11-368

Relation Adaptation: Learning to Extract Novel Relations with Minimum Supervision

Danushka Bollegala, Yutaka Matsuo, Mitsuru Ishizuka

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Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence. Pages 2205-2209.

https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-368

Abstract

Extracting the relations that exist between two entities is an important step in numerousWeb-related tasks such as information extraction.A supervised relation extraction system that is trained to extract a particular relation type might not accurately extract a new type of a relation for which it has not been trained.However, it is costly to create training data manually for every new relation type that one might want to extract.We propose a method to adapt an existing relation extraction system to extractnew relation types with minimum supervision. Our proposed method comprises two stages: learning a lower-dimensional projection between different relations, and learning a relational classifier for the target relation type with instance sampling. We evaluate the proposed method using a dataset that contains 2000 instances for 20 different relation types. Our experimental results show that the proposed method achieves a statistically significant macro-average F-score of 62.77. Moreover, the proposed method outperforms numerous baselines and a previously proposed weakly-supervised relation extraction method.

Danushka Bollegala, Yutaka Matsuo, and Mitsuru Ishizuka. 2011. Relation Adaptation: Learning to Extract Novel Relations with Minimum Supervision. In Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence, IJCAI-11. IJCAI, 2205–2209. https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-368

@inproceedings{ijcai2011p368,
  title     = {Relation Adaptation: Learning to Extract Novel Relations with Minimum Supervision},
  author    = {Bollegala, Danushka and Matsuo, Yutaka and Ishizuka, Mitsuru},
  booktitle = {Proceedings of the Twenty-Second International Joint Conference on
               Artificial Intelligence, {IJCAI-11}},
  publisher = {AAAI Press/International Joint Conferences on Artificial Intelligence},
  editor    = {Toby Walsh},
  pages     = {2205--2209},
  year      = {2011},
  month     = {7},
  doi       = {10.5591/978-1-57735-516-8/IJCAI11-368},
  url       = {https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-368},
}

TY  - CPAPER
TI  - Relation Adaptation: Learning to Extract Novel Relations with Minimum Supervision
AU  - Bollegala, Danushka
AU  - Matsuo, Yutaka
AU  - Ishizuka, Mitsuru
T2  - Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence, IJCAI-11
PB  - AAAI Press/International Joint Conferences on Artificial Intelligence
PY  - 2011
SP  - 2205
EP  - 2209
DO  - 10.5591/978-1-57735-516-8/IJCAI11-368
UR  - https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-368
ER  -