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Natural Language Generation at Scale: A Case Study for Open Domain Question Answering.

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Natural Language Generation at Scale: A Case Study for Open Domain Question Answering., , , , , , and . INLG, page 453-462. Association for Computational Linguistics, (2019)Towards Coherent and Engaging Spoken Dialog Response Generation Using Automatic Conversation Evaluators., , , , , , , and . CoRR, (2019)Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models., , , , , , , , , and 440 other author(s). CoRR, (2022)Contextual Topic Modeling For Dialog Systems., , , , , , and . SLT, page 892-899. IEEE, (2018)Detecting Offensive Content in Open-domain Conversations using Two Stage Semi-supervision., , , , , and . CoRR, (2018)On Evaluating and Comparing Conversational Agents., , , , , , , , , and 3 other author(s). CoRR, (2018)Advancing the State of the Art in Open Domain Dialog Systems through the Alexa Prize., , , , , , , , , and 12 other author(s). CoRR, (2018)Conversational AI: The Science Behind the Alexa Prize., , , , , , , , , and 8 other author(s). CoRR, (2018)Towards Coherent and Engaging Spoken Dialog Response Generation Using Automatic Conversation Evaluators., , , , , , , , and . INLG, page 65-75. Association for Computational Linguistics, (2019)Topical-Chat: Towards Knowledge-Grounded Open-Domain Conversations., , , , , , , and . INTERSPEECH, page 1891-1895. ISCA, (2019)