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ORCIDYang Gao 0021
Person information
- affiliation: Royal Holloway University of London, UK
- affiliation (former): Darmstadt University of Technology, Ubiquitous Knowledge Processing Lab, Germany
- affiliation (former): Chinese Academy of Sciences, Institute of Software, State Key Laboratory of Computer Science, Beijing, China
- affiliation (PhD 2014): Imperial College London, UK
- unicode name: 高扬
Other persons with the same name
- Yang Gao — disambiguation page
- Yang Gao 0001
![[0000-0002-2488-1813]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-2488-1813")
— Nanjing University, State Key Laboratory for Novel Software Technology, China - Yang Gao 0002 — University of Surrey, Guildford, UK
- Yang Gao 0003 — University of California, Riverside, CA, USA
- Yang Gao 0004 — University of Calgary, Department of Geomatics Engineering, AB, Canada
- Yang Gao 0005 — University of Edinburgh, Statistical Machine Translation Group, UK
- Yang Gao 0006 — University of Maryland, College Park, MD, USA
- Yang Gao 0007 — Nav Canada (and 1 more)
- Yang Gao 0008 — Lanzhou University, School of Mathematics and Statistics, China
- Yang Gao 0009 — Southeast University, School of Instrument Science and Engineering, Nanjing, China
- Yang Gao 0010 — Dalian University of Technology, School of Computer Science and Technology, China
- Yang Gao 0011 — University of Oldenburg, Germany
- Yang Gao 0012 — Beijing Satellite Navigation Center, Beijing, China (and 1 more)
- Yang Gao 0013 — Tsinghua University, Department of Electronic Engineering, Beijing, China
- Yang Gao 0014 — Xidian University, State Key Laboratory of Integrated Service Networks, Xi'an, China
- Yang Gao 0015 — Zhejiang University, Qiushi Academy for Advanced Studies, Interdisciplinary Institute of Neuroscience and Technology, Hangzhou, China
- Yang Gao 0016 — Beijing Institute of Technology, School of Computer Science and Technology, Beijing, China (and 1 more)
- Yang Gao 0017 — National University of Defense Technology, Hefei, China
- Yang Gao 0018 — University of Nottingham, Nottingham Geospatial Institute, UK
- Yang Gao 0019 — Rutgers University, Department of Chemistry and Chemical Biology, Piscataway, NJ, USA
- Yang Gao 0020 — University of Birmingham, UK
- Yang Gao 0022 — University of Waterloo, Waterloo, Ontario, Canada
- Yang Gao 0024 — Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China (and 1 more)
- Yang Gao 0025 — Northwestern University, Department of Computer Science, Chicago, IL, USA (and 1 more)
- Yang Gao 0026 — Soochow University, Suzhou, China
- Yang Gao 0027 — University of Texas at Dallas, TX, USA
- Yang Gao 0028 — Yantai University, Yantai, China
- Yang Gao 0029 — University of California, Berkeley, y, Department of Electrical Engineering and Computer Science, CA, USA
- Yang Gao 0030 — Central South University, Changsha, School of Computer Science and Engineering, Hunan, China (and 1 more)
- Yang Gao 0031 — University of Utah, Department of Computer Science, Salt Lake City, UT, USA
- Yang Gao 0032 — Beihang University, State Key Laboratory of Virtual Reality Technology and Systems, Beijing, China (and 1 more)
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Books and Theses
- 2014
[b1]Yang Gao:
Argumentation accelerated reinforcement learning. Imperial College London, UK, 2014
Journal Articles
- 2020
- [j7]Yang Gao, Christian M. Meyer, Iryna Gurevych:
Preference-based interactive multi-document summarisation. Inf. Retr. J. 23(6): 555-585 (2020) - [j6]Edwin Simpson, Yang Gao, Iryna Gurevych:
Interactive Text Ranking with Bayesian Optimisation: A Case Study on Community QA and Summarisation. Trans. Assoc. Comput. Linguistics 8: 759-775 (2020) - 2019
- [j5]Régis Riveret, Yang Gao, Guido Governatori, Antonino Rotolo, Jeremy Pitt, Giovanni Sartor:
A probabilistic argumentation framework for reinforcement learning agents - Towards a mentalistic approach to agent profiles. Auton. Agents Multi Agent Syst. 33(1-2): 216-274 (2019) - [j4]Wei Wang, Hao Wang, Zhaoxiang Zhang, Chen Zhang, Yang Gao:
Semi-supervised domain adaptation via Fredholm integral based kernel methods. Pattern Recognit. 85: 185-197 (2019) - 2018
- [j3]Régis Riveret, Pietro Baroni, Yang Gao, Guido Governatori, Antonino Rotolo, Giovanni Sartor:
A labelling framework for probabilistic argumentation. Ann. Math. Artif. Intell. 83(1): 21-71 (2018) - [j2]Wei Wang, Hao Wang, Chen Zhang, Yang Gao:
Cross-Domain Metric and Multiple Kernel Learning Based on Information Theory. Neural Comput. 30(3) (2018) - 2017
- [j1]Wei Wang, Chen Zhang, Hao Wang, Yang Gao, Yuanman Zheng:
A cognition graph approach for insights generation from event sequences. Clust. Comput. 20(2): 1679-1690 (2017)
Conference and Workshop Papers
- 2023
- [c22]Christoph Leiter, Juri Opitz, Daniel Deutsch, Yang Gao, Rotem Dror, Steffen Eger:
The Eval4NLP 2023 Shared Task on Prompting Large Language Models as Explainable Metrics. Eval4NLP 2023: 117-138 - 2021
- [c21]Marina Fomicheva, Piyawat Lertvittayakumjorn, Wei Zhao, Steffen Eger, Yang Gao:
The Eval4NLP Shared Task on Explainable Quality Estimation: Overview and Results. Eval4NLP 2021: 165-178 - 2020
- [c20]Yang Gao, Wei Zhao, Steffen Eger:
SUPERT: Towards New Frontiers in Unsupervised Evaluation Metrics for Multi-Document Summarization. ACL 2020: 1347-1354 - [c19]Wei Zhao, Goran Glavas, Maxime Peyrard, Yang Gao, Robert West, Steffen Eger:
On the Limitations of Cross-lingual Encoders as Exposed by Reference-Free Machine Translation Evaluation. ACL 2020: 1656-1671 - 2019
- [c18]Wei Zhao, Maxime Peyrard, Fei Liu, Yang Gao, Christian M. Meyer, Steffen Eger:
MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance. EMNLP/IJCNLP (1) 2019: 563-578 - [c17]Florian Böhm, Yang Gao, Christian M. Meyer, Ori Shapira, Ido Dagan, Iryna Gurevych:
Better Rewards Yield Better Summaries: Learning to Summarise Without References. EMNLP/IJCNLP (1) 2019: 3108-3118 - [c16]Yang Gao, Christian M. Meyer, Mohsen Mesgar, Iryna Gurevych:
Reward Learning for Efficient Reinforcement Learning in Extractive Document Summarisation. IJCAI 2019: 2350-2356 - [c15]Ori Shapira, David Gabay, Yang Gao, Hadar Ronen, Ramakanth Pasunuru, Mohit Bansal, Yael Amsterdamer, Ido Dagan:
Crowdsourcing Lightweight Pyramids for Manual Summary Evaluation. NAACL-HLT (1) 2019: 682-687 - [c14]Yang Gao, Steffen Eger, Ilia Kuznetsov, Iryna Gurevych, Yusuke Miyao:
Does My Rebuttal Matter? Insights from a Major NLP Conference. NAACL-HLT (1) 2019: 1274-1290 - 2018
- [c13]Yang Gao, Christian M. Meyer, Iryna Gurevych:
APRIL: Interactively Learning to Summarise by Combining Active Preference Learning and Reinforcement Learning. EMNLP 2018: 4120-4130 - 2017
- [c12]Wei Wang, Hao Wang, Chen Zhang, Yang Gao:
Fredholm Multiple Kernel Learning for Semi-Supervised Domain Adaptation. AAAI 2017: 2732-2738 - [c11]Haijing Liu, Yang Gao, Pin Lv, Mengxue Li, Shiqiang Geng, Minglan Li, Hao Wang:
Using Argument-based Features to Predict and Analyse Review Helpfulness. EMNLP 2017: 1358-1363 - [c10]Minglan Li, Yang Gao, Hui Wen, Yang Du, Haijing Liu, Hao Wang:
Joint RNN model for argument component boundary detection. SMC 2017: 57-62 - [c9]Mengxue Li, Shiqiang Geng, Yang Gao, Shuhua Peng, Haijing Liu, Hao Wang:
Crowdsourcing argumentation structures in Chinese hotel reviews. SMC 2017: 87-92 - 2016
- [c8]Yang Gao, Francesca Toni, Hao Wang, Fanjiang Xu:
Argumentation-Based Multi-Agent Decision Making with Privacy Preserved. AAMAS 2016: 1153-1161 - 2015
- [c7]Lucas Carstens, Xiuyi Fan, Yang Gao, Francesca Toni:
An Overview of Argumentation Frameworks for Decision Support. GKR 2015: 32-49 - [c6]Yang Gao, Francesca Toni:
Potential Based Reward Shaping for Hierarchical Reinforcement Learning. IJCAI 2015: 3504-3510 - 2014
- [c5]Yang Gao, Francesca Toni:
Argumentation-based reinforcement learning for robocup soccer takeaway. AAMAS 2014: 1411-1412 - [c4]Yang Gao, Francesca Toni:
Argumentation Accelerated Reinforcement Learning for Cooperative Multi-Agent Systems. ECAI 2014: 333-338 - 2013
- [c3]Yang Gao, Francesca Toni:
Argumentation Accelerated Reinforcement Learning for RoboCup Keepaway-Takeaway. TAFA 2013: 79-94 - 2012
- [c2]Yang Gao, Francesca Toni, Robert Craven:
Argumentation-Based Reinforcement Learning for RoboCup Keepaway. COMMA 2012: 519-520 - [c1]Yang Gao, Francesca Toni, Robert Craven:
Argumentation-Based Reinforcement Learning for RoboCup Soccer Keepaway. ECAI 2012: 342-347
Editorship
- 2023
- [e4]Daniel Deutsch, Rotem Dror, Steffen Eger, Yang Gao, Christoph Leiter, Juri Opitz, Andreas Rücklé:
Proceedings of the 4th Workshop on Evaluation and Comparison of NLP Systems, Eval4NLP 2023, Bali, Indonesia, November 1, 2023. Association for Computational Linguistics 2023, ISBN 979-8-89176-021-9 [contents] - 2022
- [e3]Daniel Deutsch, Can Udomcharoenchaikit, Juri Opitz, Yang Gao, Marina Fomicheva, Steffen Eger:
Proceedings of the 3rd Workshop on Evaluation and Comparison of NLP Systems, Eval4NLP 2022, Online, November 20, 2022. Association for Computational Linguistics 2022, ISBN 978-1-959429-00-5 [contents] - 2021
- [e2]Yang Gao, Steffen Eger, Wei Zhao, Piyawat Lertvittayakumjorn, Marina Fomicheva:
Proceedings of the 2nd Workshop on Evaluation and Comparison of NLP Systems, Eval4NLP 2021, Punta Cana, Dominican Republic, November 10, 2021. Association for Computational Linguistics 2021, ISBN 978-1-954085-88-6 [contents] - 2020
- [e1]Steffen Eger, Yang Gao, Maxime Peyrard, Wei Zhao, Eduard H. Hovy:
Proceedings of the First Workshop on Evaluation and Comparison of NLP Systems, Eval4NLP 2020, Online, November 20, 2020. Association for Computational Linguistics 2020, ISBN 978-1-952148-82-8 [contents]
Informal and Other Publications
- 2023
- [i18]Christoph Leiter, Piyawat Lertvittayakumjorn, Marina Fomicheva, Wei Zhao, Yang Gao, Steffen Eger:
Towards Explainable Evaluation Metrics for Machine Translation. CoRR abs/2306.13041 (2023) - [i17]Christoph Leiter, Juri Opitz, Daniel Deutsch, Yang Gao, Rotem Dror, Steffen Eger:
The Eval4NLP 2023 Shared Task on Prompting Large Language Models as Explainable Metrics. CoRR abs/2310.19792 (2023) - 2022
- [i16]Christoph Leiter, Piyawat Lertvittayakumjorn, Marina Fomicheva, Wei Zhao, Yang Gao, Steffen Eger:
Towards Explainable Evaluation Metrics for Natural Language Generation. CoRR abs/2203.11131 (2022) - 2021
- [i15]Marina Fomicheva, Piyawat Lertvittayakumjorn, Wei Zhao, Steffen Eger, Yang Gao:
The Eval4NLP Shared Task on Explainable Quality Estimation: Overview and Results. CoRR abs/2110.04392 (2021) - 2020
- [i14]Wei Zhao, Goran Glavas, Maxime Peyrard, Yang Gao, Robert West, Steffen Eger:
On the Limitations of Cross-lingual Encoders as Exposed by Reference-Free Machine Translation Evaluation. CoRR abs/2005.01196 (2020) - [i13]Yang Gao, Wei Zhao, Steffen Eger:
SUPERT: Towards New Frontiers in Unsupervised Evaluation Metrics for Multi-Document Summarization. CoRR abs/2005.03724 (2020) - 2019
- [i12]Yang Gao, Steffen Eger, Ilia Kuznetsov, Iryna Gurevych, Yusuke Miyao:
Does My Rebuttal Matter? Insights from a Major NLP Conference. CoRR abs/1903.11367 (2019) - [i11]Ori Shapira, David Gabay, Yang Gao, Hadar Ronen, Ramakanth Pasunuru, Mohit Bansal, Yael Amsterdamer, Ido Dagan:
Crowdsourcing Lightweight Pyramids for Manual Summary Evaluation. CoRR abs/1904.05929 (2019) - [i10]Yang Gao, Christian M. Meyer, Iryna Gurevych:
Preference-based Interactive Multi-Document Summarisation. CoRR abs/1906.02923 (2019) - [i9]Yang Gao, Christian M. Meyer, Mohsen Mesgar, Iryna Gurevych:
Reward Learning for Efficient Reinforcement Learning in Extractive Document Summarisation. CoRR abs/1907.12894 (2019) - [i8]Florian Böhm, Yang Gao, Christian M. Meyer, Ori Shapira, Ido Dagan, Iryna Gurevych:
Better Rewards Yield Better Summaries: Learning to Summarise Without References. CoRR abs/1909.01214 (2019) - [i7]Wei Zhao, Maxime Peyrard, Fei Liu, Yang Gao, Christian M. Meyer, Steffen Eger:
MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance. CoRR abs/1909.02622 (2019) - [i6]Edwin Simpson, Yang Gao, Iryna Gurevych:
Interactive Text Ranking with Bayesian Optimisation: A Case Study on Community QA and Summarisation. CoRR abs/1911.10183 (2019) - 2018
- [i5]Yang Gao, Christian M. Meyer, Iryna Gurevych:
APRIL: Interactively Learning to Summarise by Combining Active Preference Learning and Reinforcement Learning. CoRR abs/1808.09658 (2018) - 2017
- [i4]Yang Gao, Hao Wang, Chen Zhang, Wei Wang:
Reinforcement Learning Based Argument Component Detection. CoRR abs/1702.06239 (2017) - [i3]Mengxue Li, Shiqiang Geng, Yang Gao, Haijing Liu, Hao Wang:
Crowdsourcing Argumentation Structures in Chinese Hotel Reviews. CoRR abs/1705.02077 (2017) - [i2]Minglan Li, Yang Gao, Hui Wen, Yang Du, Haijing Liu, Hao Wang:
Joint RNN Model for Argument Component Boundary Detection. CoRR abs/1705.02131 (2017) - [i1]Haijing Liu, Yang Gao, Pin Lv, Mengxue Li, Shiqiang Geng, Minglan Li, Hao Wang:
Using Argument-based Features to Predict and Analyse Review Helpfulness. CoRR abs/1707.07279 (2017)
Coauthor Index
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