Challenge: a workshop focuses on machine reading for question answering . despite recent progress, there is much to be desired about these datasets and systems .
Approach: This year, they present a shared task on machine reading for question answering . they adapt and unified 18 distinct question answering datasets into the same format .
Outcome: The proposed system achieves an average F1 score of 72.5 on the held-out datasets.

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Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing: System Demonstrations (D18-2)

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Challenge: 77 submissions were received for the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP) 4 of the 73 valid submissions received were either invalid or withdrawn by the authors.
Approach: The volume contains papers from the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP) 4 of the 77 submissions were either invalid or withdrawn by the authors.
Outcome: The system demonstrations session included papers from the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP) 4 of the 73 valid submissions were either invalid or withdrawn by the authors.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: System Demonstrations (2025.emnlp-demos)

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Challenge: Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing are now available online.
Approach: EMNLP 2025 conference on empirical methods in natural language processing held in Suzhou, china, on November 4-9, 2025. 77 papers accepted for inclusion in proceedings, resulting in 38% acceptance rate.
Outcome: Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing are published . the conference accepted 77 papers, with a 38% acceptance rate .
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations (2023.emnlp-demo)

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Challenge: EMNLP 2023 conference on Empirical Methods in Natural Language Processing received a record number of submissions . 52 papers were selected for inclusion in the program while a small number of papers received only two reviews .
Approach: EMNLP 2023 conference on Empirical Methods in Natural Language Processing will take place in london on dec 6-10, 2023 . 203 submissions were received for the system demonstration track .
Outcome: the EMNLP 2023 conference on Empirical Methods in Natural Language Processing received a record number of submissions . 52 papers were selected for inclusion in the program, while only two received reviews .
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 2024 Conference on Empirical Methods in Natural Language Processing: System Demonstrations (2024.emnlp-demo)

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Challenge: EMNLP 2024 conference on Empirical Methods in Natural Language Processing received 153 submissions . 52 submissions were selected for inclusion in the program (acceptance rate of 34%)
Approach: EMNLP 2024 conference on Empirical Methods in Natural Language Processing will take place in london on november 12-16, 2024 .
Outcome: The EMNLP 2024 conference is a hybrid event with demonstration papers presented through pre-recorded talks and in presence during the poster sessions.
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% .
Proceedings of the First Workshop on Commonsense Inference in Natural Language Processing (D19-60)

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Challenge: Workshop on Commonsense Inference in Natural Language Processing focuses on commonsense knowledge representation and application in NLP tasks.
Approach: COIN is a workshop on commonsense inference in natural language processing . workshop included two shared tasks on reading comprehension using commonsensense knowledge .
Outcome: the workshop focused on modeling commonsense knowledge and commonsensing in natural language processing tasks.

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