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AMPERSAND: Argument Mining for PERSuAsive oNline Discussions., , , , and . CoRR, (2020)Leveraging Sparse and Dense Feature Combinations for Sentiment Classification., , , and . CoRR, (2017)Discourse Relation Prediction: Revisiting Word Pairs with Convolutional Networks., , and . SIGdial, page 442-452. Association for Computational Linguistics, (2019)DAMP: Doubly Aligned Multilingual Parser for Task-Oriented Dialogue., , , , , , and . CoRR, (2022)Analyzing the Semantic Types of Claims and Premises in an Online Persuasive Forum., , , , and . ArgMining@EMNLP, page 11-21. Association for Computational Linguistics, (2017)DAMP: Doubly Aligned Multilingual Parser for Task-Oriented Dialogue., , , , , , and . ACL (1), page 3586-3604. Association for Computational Linguistics, (2023)Reducing Model Churn: Stable Re-training of Conversational Agents., , and . SIGDIAL, page 14-25. Association for Computational Linguistics, (2022)Compute-Efficient Churn Reduction for Conversational Agents., and . EMNLP (Industry Track), page 284-293. Association for Computational Linguistics, (2023)Reducing Model Jitter: Stable Re-training of Semantic Parsers in Production Environments., , and . CoRR, (2022)Confirming the Non-compositionality of Idioms for Sentiment Analysis., and . MWE-WN@ACL, page 125-129. Association for Computational Linguistics, (2019)