Challenge: EMNLP’19 Workshop on Multilingual Surface Realisation aims to stimulate the exploration of advanced neural networks for multilingual sentence generation from Universal Dependency (UD) structures.
Approach: They present results from the SR'19 Shared Task, a multilingual surface realisation task organised as part of the EMNLP'19 Workshop on Multilingual Surface Realisation.
Outcome: The SR'19 shared task was organised as part of the EMNLP'19 Workshop on Multilingual Surface Realisation . it consisted of two tracks with different levels of complexity . the shallow track was offered in eleven, and the deep track in three languages .

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Proceedings of the 2nd Workshop on Multilingual Surface Realisation (MSR 2019) (D19-63)

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Challenge: SR'19 participants have put in a lot of effort to make the event successful .
Approach: SR'19 participants acknowledge hard work, creativity and enthusiasm . SR tasks and workshops were well attended and well attended .
Outcome: SR'19 participants acknowledge hard work, reviewers and local organisers . participants' creativity and enthusiasm is what keeps them going .
LORIA / Lorraine University at Multilingual Surface Realisation 2019 (D19-63)

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Challenge: WO component is easily transferrable between languages, but needs attention for each language separately.
Approach: They present a LORIA / Lorraine University submission to the shared task . they evaluate it on 11 languages covered by the shared challenge .
Outcome: The proposed approach is evaluated on 11 languages covered by the shared task . the main takeaways are that the WO component is easily transferrable between languages .
Surface Realization Shared Task 2019 (MSR19): The Team 6 Approach (D19-63)

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Challenge: This paper describes the approach developed by the Tilburg University team for the shallow track of the Multilingual Surface Realization Shared Task 2019 (SR'19).
Approach: They propose a method for the shallow track of the Multilingual Surface Realization Shared Task 2019 using a rule-based and a statistical machine translation (SMT) model.
Outcome: The proposed approach can generate texts in 11 languages, compared with the submission of the same approach for the same task in 2018 which only covered 6 languages.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP): System Demonstrations (D19-3)

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Challenge: Proceedings of the system demonstrations session were presented at the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) EMNMP-IjCNLP 2019 has a Best Demo Award for the first time .
Approach: Proceedings of the system demonstrations session are available online . they were presented at the conference on empirical methods in natural language processing .
Outcome: The system demonstrations session received 110 submissions, 22 of which were either invalid or withdrawn by the authors.
The DipInfoUniTo Realizer at SRST’19: Learning to Rank and Deep Morphology Prediction for Multilingual Surface Realization (D19-63)

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Challenge: SR is one of the main tasks involved in Natural Language Generation.
Approach: They propose a system which divides the SR task into two independent subtasks, namely word order prediction and morphology inflection prediction.
Outcome: The proposed system is a direct successor to the architecture presented at SR'19.
Findings of the Association for Computational Linguistics: EMNLP 2020 (2020.findings-emnlp)

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Challenge: . - (EN)
Approach: . - (EN)
Outcome: . - (EN)
Findings of the Association for Computational Linguistics: EMNLP 2021 (2021.findings-emnlp)

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Challenge: . - (EN)
Approach: . - (EN)
Outcome: . - (EN)
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations (2020.emnlp-demos)

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Challenge: 91 submissions were received, 10 of which were either invalid or withdrawn .
Approach: 91 submissions were received for the system demonstrations session . 10 were either invalid or withdrawn by the authors .
Outcome: The system demonstrations session was held at the 2020 conference on empirical methods in natural language processing . 91 submissions were accepted, 10 of which were either invalid or withdrawn .
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: System Demonstrations (2021.acl-demo)

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Challenge: ACL-IJCNLP 2021 will be an online conference . submissions range from early prototypes to mature production-ready systems .
Approach: the ACL-IJCNLP 2021 will be an online conference . the system demonstration track invites submissions ranging from early prototypes to mature production-ready systems.
Outcome: the ACL-IJCNLP 2021 system demonstration track received 133 submissions . the submission rate was 32.3% .

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