Dr Yang Gao

  1. 2019
  2. E-pub ahead of print

    Preference-based interactive multi-document summarisation

    Gao, Y., Meyer, C. M. & Gurevych, I., 19 Nov 2019, In : Information Retrieval Journal. p. 1-31 31 p.

    Research output: Contribution to journalArticle

  3. Published

    Better Rewards Yield Better Summaries: Learning to Summarise Without References

    Böhm, F., Gao, Y., Meyer, C. M., Shapira, O., Dagan, I. & Gurevych, I., Nov 2019, Proceedings of 2019 Conference on Empirical Methods in Natural Language Processing (EMNLP 2019) . p. 3101–3111 11 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  4. Published

    MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance

    Zhao, W., Peyrard, M., Liu, F., Gao, Y., Meyer, C. M. & Eger, S., Nov 2019, Proceedings of 2019 Conference on Empirical Methods in Natural Language Processing (EMNLP 2019). p. 563-578 16 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  5. Published

    Evaluating Machine Translation without Human References Using Cross-lingual Encoders

    Zhao, W., Gao, Y. & Eger, S., Oct 2019.

    Research output: Contribution to conferenceAbstract

  6. Published

    Reward Learning for Efficient Reinforcement Learning in Extractive Document Summarisation

    Gao, Y., Meyer, C. M., Mesgar, M. & Gurevych, I., Aug 2019, Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence (IJCAI-19). International Joint Conferences on Artificial Intelligence, p. 2350-2356 7 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  7. Published

    Crowdsourcing Lightweight Pyramids for Manual Summary Evaluation

    Shapira, O., Gabay, D., Gao, Y., Ronen, H., Pasunuru, R., Bansal, M., Amsterdamer, Y. & Dagan, I., Jun 2019, Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. Association for Computational Linguistics, Vol. 1. p. 682-687 6 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  8. Published

    Does My Rebuttal Matter? Insights from a Major NLP Conference

    Gao, Y., Eger, S., Kuznetsov, I., Gurevych, I. & Miyao, Y., Jun 2019, Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. Minneapolis, Minnesota: Association for Computational Linguistics, Vol. 1. p. 1274–1290 17 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  9. Published

    A probabilistic argumentation framework for reinforcement learning agents

    Riveret, R., Gao, Y., Governatori, G., Rotolo, A., Pitt, J. & Sartor, G., Mar 2019, In : Autonomous Agents and Multi-Agent Systems. 33, 1-2, p. 216-274 59 p.

    Research output: Contribution to journalArticle

  10. Published

    Semi-supervised domain adaptation via Fredholm integral based kernel methods

    Wang, W., Wang, H., Zhang, C. & Gao, Y., Jan 2019, In : Pattern Recognition. 85, p. 185-197 13 p.

    Research output: Contribution to journalArticle

  11. 2018
  12. Published

    APRIL: Interactively Learning to Summarise by Combining Active Preference Learning and Reinforcement Learning

    Gao, Y., Meyer, C. M. & Gurevych, I., 31 Oct 2018, Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing. Brussels, Belgium: Association for Computational Linguistics, p. 4120-4130 11 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  13. Published

    A labelling framework for probabilistic argumentation

    Riveret, R., Baroni, P., Gao, Y., Governatori, G., Rotolo, A. & Sartor, G., May 2018, In : Annals of Mathematics and Artificial Intelligence. 83, 1, p. 21-71 51 p.

    Research output: Contribution to journalArticle

  14. Published

    Cross-Domain Metric and Multiple Kernel Learning Based on Information Theory

    Wang, W., Wang, H., Zhang, C. & Gao, Y., Mar 2018, In : Neural Computation. 30, 3, p. 820-855 36 p.

    Research output: Contribution to journalArticle

  15. 2017
  16. Published

    Using Argument-based Features to Predict and Analyse Review Helpfulness

    Liu, H., Gao, Y., Lv, P., Li, M., Geng, S., Li, M. & Wang, H., Sep 2017, Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing. Copenhagen, Denmark: Association for Computational Linguistics, p. 1358–1363 6 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  17. Published

    Fredholm Multiple Kernel Learning for Semi-Supervised Domain Adaptation

    Wang, W., Wang, H., Zhang, C. & Gao, Y., 2017, Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence (AAAI-17). AAAI Press, p. 2732-2738 7 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  18. 2016
  19. Published

    Argumentation-Based Multi-Agent Decision Making with Privacy Preserved

    Gao, Y., Toni, F., Wang, H. & Xu, F., 9 May 2016, Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems. International Foundation for Autonomous Agents and Multiagent Systems, p. 1153-1161 9 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  20. 2015
  21. Published

    Potential based reward shaping for hierarchical reinforcement learning

    Gao, Y. & Toni, F., 25 Jul 2015, IJCAI'15 Proceedings of the 24th International Conference on Artificial Intelligence. AAAI Press, p. 3504-3510 7 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  22. 2014
  23. Published

    Argumentation accelerated reinforcement learning for cooperative multi-agent systems

    Gao, Y. & Toni, F., 18 Aug 2014, ECAI'14 Proceedings of the Twenty-first European Conference on Artificial Intelligence. IOS Press, p. 333-338 6 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution