Yang Gao

Orcid: 0000-0002-5429-6236

Affiliations:
  • Royal Holloway University of London, UK
  • Darmstadt University of Technology, Ubiquitous Knowledge Processing Lab, Germany (former)
  • Chinese Academy of Sciences, Institute of Software, State Key Laboratory of Computer Science, Beijing, China (former)
  • Imperial College London, UK (PhD 2014)


According to our database1, Yang Gao authored at least 34 papers between 2012 and 2023.

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Timeline

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Bibliography

2023
Towards Explainable Evaluation Metrics for Machine Translation.
CoRR, 2023

The Eval4NLP 2023 Shared Task on Prompting Large Language Models as Explainable Metrics.
Proceedings of the 4th Workshop on Evaluation and Comparison of NLP Systems, 2023

2022
Towards Explainable Evaluation Metrics for Natural Language Generation.
CoRR, 2022

2021
The Eval4NLP Shared Task on Explainable Quality Estimation: Overview and Results.
Proceedings of the 2nd Workshop on Evaluation and Comparison of NLP Systems, 2021

2020
Interactive Text Ranking with Bayesian Optimisation: A Case Study on Community QA and Summarisation.
Trans. Assoc. Comput. Linguistics, 2020

Preference-based interactive multi-document summarisation.
Inf. Retr. J., 2020

On the Limitations of Cross-lingual Encoders as Exposed by Reference-Free Machine Translation Evaluation.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

SUPERT: Towards New Frontiers in Unsupervised Evaluation Metrics for Multi-Document Summarization.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Semi-supervised domain adaptation via Fredholm integral based kernel methods.
Pattern Recognit., 2019

A probabilistic argumentation framework for reinforcement learning agents - Towards a mentalistic approach to agent profiles.
Auton. Agents Multi Agent Syst., 2019

Crowdsourcing Lightweight Pyramids for Manual Summary Evaluation.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Does My Rebuttal Matter? Insights from a Major NLP Conference.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Reward Learning for Efficient Reinforcement Learning in Extractive Document Summarisation.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Better Rewards Yield Better Summaries: Learning to Summarise Without References.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018
Cross-Domain Metric and Multiple Kernel Learning Based on Information Theory.
Neural Comput., 2018

A labelling framework for probabilistic argumentation.
Ann. Math. Artif. Intell., 2018

APRIL: Interactively Learning to Summarise by Combining Active Preference Learning and Reinforcement Learning.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017
Crowdsourcing Argumentation Structures in Chinese Hotel Reviews.
CoRR, 2017

Reinforcement Learning Based Argument Component Detection.
CoRR, 2017

A cognition graph approach for insights generation from event sequences.
Clust. Comput., 2017

Joint RNN model for argument component boundary detection.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

Crowdsourcing argumentation structures in Chinese hotel reviews.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

Using Argument-based Features to Predict and Analyse Review Helpfulness.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Fredholm Multiple Kernel Learning for Semi-Supervised Domain Adaptation.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Argumentation-Based Multi-Agent Decision Making with Privacy Preserved.
Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016

2015
Potential Based Reward Shaping for Hierarchical Reinforcement Learning.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

An Overview of Argumentation Frameworks for Decision Support.
Proceedings of the Graph Structures for Knowledge Representation and Reasoning, 2015

2014
Argumentation accelerated reinforcement learning.
PhD thesis, 2014

Argumentation Accelerated Reinforcement Learning for Cooperative Multi-Agent Systems.
Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014

Argumentation-based reinforcement learning for robocup soccer takeaway.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014

2013
Argumentation Accelerated Reinforcement Learning for RoboCup Keepaway-Takeaway.
Proceedings of the Theory and Applications of Formal Argumentation, 2013

2012
Argumentation-Based Reinforcement Learning for RoboCup Soccer Keepaway.
Proceedings of the ECAI 2012, 2012

Argumentation-Based Reinforcement Learning for RoboCup Keepaway.
Proceedings of the Computational Models of Argument, 2012


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