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On the Trustworthiness of Tree Ensemble Explainability Methods., , , and . CD-MAKE, volume 12844 of Lecture Notes in Computer Science, page 293-308. Springer, (2021)From Argumentation Mining to Stance Classification., , and . ArgMining@HLT-NAACL, page 67-77. The Association for Computational Linguistics, (2015)New Drift Detection Method for Data Streams., and . ICAIS, volume 6943 of Lecture Notes in Computer Science, page 88-97. Springer, (2011)Shrinking Bigfoot: Reducing wav2vec 2.0 footprint., , , , , , and . SustaiNLP@EMNLP, page 134-141. Association for Computational Linguistics, (2021)Neural Networks for Integrating Compositional and Non-compositional Sentiment in Sentiment Composition., , and . *SEM@NAACL-HLT, page 1-9. The *SEM 2015 Organizing Committee, (2015)DAG-Structured Long Short-Term Memory for Semantic Compositionality., , and . HLT-NAACL, page 917-926. The Association for Computational Linguistics, (2016)SemEval-2016 Task 6: Detecting Stance in Tweets., , , , and . SemEval@NAACL-HLT, page 31-41. The Association for Computer Linguistics, (2016)A Dataset for Multi-Target Stance Detection., , and . EACL (2), page 551-557. Association for Computational Linguistics, (2017)Detecting Stance in Tweets And Analyzing its Interaction with Sentiment., , and . *SEM@ACL, The *SEM 2016 Organizing Committee, (2016)Boosting Model Performance through Differentially Private Model Aggregation., , , , , , and . CoRR, (2018)