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The OSU/Facebook Realizer for SRST 2019: Seq2Seq Inflection and Serialized Tree2Tree Linearization.

, , , , and . MSR@EMNLP-IJCNLP, page 68-74. Association for Computational Linguistics, (2019)

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Challenges and Opportunities in Understanding Spoken Queries Directed at Modern Entertainment Platforms., , , and . SIGIR, page 1375-1376. ACM, (2019)Multi-Task Learning with Neural Networks for Voice Query Understanding on an Entertainment Platform., , and . KDD, page 636-645. ACM, (2018)Improving Compositional Generalization with Self-Training for Data-to-Text Generation., , , , , , and . CoRR, (2021)ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning., , , , , , , , , and 4 other author(s). ICLR, OpenReview.net, (2022)Infrastructure for supporting exploration and discovery in web archives., , and . WWW (Companion Volume), page 851-856. ACM, (2014)Scaling Laws vs Model Architectures: How does Inductive Bias Influence Scaling?, , , , , , , , , and . EMNLP (Findings), page 12342-12364. Association for Computational Linguistics, (2023)Lightweight and Efficient Neural Natural Language Processing with Quaternion Networks., , , , , , , and . CoRR, (2019)Scaling Laws vs Model Architectures: How does Inductive Bias Influence Scaling?, , , , , , , , , and . CoRR, (2022)Integrating Lexical and Temporal Signals in Neural Ranking Models for Searching Social Media Streams., , , , , , and . CoRR, (2017)Transcending Scaling Laws with 0.1% Extra Compute., , , , , , , , , and 6 other author(s). CoRR, (2022)