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Evaluating the State-of-the-Art of End-to-End Natural Language Generation: The E2E NLG Challenge., , and . CoRR, (2019)Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models, , , , , , , , , and 441 other author(s). (2022)cite arxiv:2206.04615Comment: 27 pages, 17 figures + references and appendices, repo: https://github.com/google/BIG-bench.GEMv2: Multilingual NLG Benchmarking in a Single Line of Code., , , , , , , , , and 66 other author(s). CoRR, (2022)Semi-supervised classification by reaching consensus among modalities., , and . CoRR, (2018)Impact of ASR on Alzheimer's Disease Detection: All Errors are Equal, but Deletions are More Equal than Others., , and . CoRR, (2019)Emotionally Driven Robot Control Architecture for Human-Robot Interaction., , and . TAROS, volume 8069 of Lecture Notes in Computer Science, page 261-263. Springer, (2013)To BERT or not to BERT: Comparing Speech and Language-Based Approaches for Alzheimer's Disease Detection., , , and . INTERSPEECH, page 2167-2171. ISCA, (2020)Sympathy Begins with a Smile, Intelligence Begins with a Word: Use of Multimodal Features in Spoken Human-Robot Interaction., , , and . RoboNLP@ACL, page 86-94. Association for Computational Linguistics, (2017)The Effect of Heterogeneous Data for Alzheimer's Disease Detection from Speech., , , and . CoRR, (2018)Towards Artificial Emotions to Assist Social Coordination in HRI., and . Int. J. Soc. Robotics, 7 (1): 77-88 (2015)