Skip to main content
Log in

Implicit discourse relation detection using concatenated word embeddings and a gated relevance network

  • Letter
  • Published:
Science China Information Sciences Aims and scope Submit manuscript

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

References

  1. Pitler E, Louis A, Nenkova A. Automatic sense prediction for implicit discourse relations in text. In: Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language, Suntec, 2009. 683–691

    Google Scholar 

  2. Rutherford A, Xue N. Discovering implicit discourse relations through brown cluster pair representation and coreference patterns. In: Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, 2014. 645–654

    Chapter  Google Scholar 

  3. Liu Y, Li S J, Zhang X D, et al. Implicit discourse relation classification via multi-task neural networks. 2016. ArXiv: 1603.02776

    Google Scholar 

  4. Zhang B, Xiong D, Su J, et al. Variational neural discourse relation recognizer. 2016. ArXiv: 1603.03876

    Book  Google Scholar 

  5. Qin L, Zhang Z, Zhao H. Implicit discourse relation recognition with context-aware character-enhanced embeddings. In: Proceedings of COLING, Osaka, 2016. 1914–1924

    Google Scholar 

  6. Kim Y, Jernite Y, Sontag D, et al. Character-Aware Neural Language Models. In: Proceedings of the 30th AAAI Conference on Artificial Intelligence, 2016. 2741–2749

    Google Scholar 

  7. Hochreiter S, Schmidhuber J. Long short-term memory. Neural Comput, 1997, 9: 1735–1780

    Article  Google Scholar 

  8. Sutskever I, Tenenbaum J B, Salakhutdinov R R. Modelling relational data using Bayesian clustered tensor factorization. Adv Neural Inf Process Syst, 2009, 2009: 1821–1828

    Google Scholar 

  9. Chen J, Zhang Q, Liu P, et al. Implicit discourse relation detection via a deep architecture with gated relevance network. In: Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016. 1: 1726–1735

    Article  Google Scholar 

Download references

Acknowledgements

This work was partially funded by National Natural Science Foundation of China (Grant Nos. 61532011, 61473092, 61472088) and Science and Technology Commission Shanghai Municipality (Grant Nos. 16JC1420401, 17JC1420200).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Qi Zhang.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Fu, J., Zhang, Q., Chen, J. et al. Implicit discourse relation detection using concatenated word embeddings and a gated relevance network. Sci. China Inf. Sci. 62, 219102 (2019). https://doi.org/10.1007/s11432-018-9528-8

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s11432-018-9528-8

Navigation