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SCIENCE CHINA Information Sciences, Volume 63, Issue 6: 169103(2020) https://doi.org/10.1007/s11432-018-9721-7

Fine-grained relation extraction with focal multi-task learning

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  • ReceivedNov 11, 2018
  • AcceptedDec 19, 2018
  • PublishedApr 15, 2020

Abstract

There is no abstract available for this article.


Acknowledgment

This work was supported by National Basic Research Program of China (973 Project) (Grant No. 2015CB352401), National Natural Science Foundation of China (Grant Nos. 61532013, 61872239). FDCT/0007/2018/A1, DCT-MoST Joint-Project (Grant No. 025/2015/AMJ), University of Macau Grants (Grant Nos. MYRG2018-00237-RTO, CPG2018-00032-FST, SRG 2018-00111-FST).


References

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[2] Zeng D, Liu K, Chen Y, et al. Distant supervision for relation extraction via piecewise convolutional neural networks. In: Proceedings of Conference on Empirical Methods in Natural Language Processing, Lisbon, 2015. 1753--1762. Google Scholar

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  • Figure 1

    (Color online) The architecture of our fine-grained relation extractor illustrating the procedure for handling one sentence and predicting the relation between [Arthur~Lee] and [Memphis].

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