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Using linguistically defined specific details to detect deception across domains., and . Nat. Lang. Eng., 26 (3): 349-373 (2020)Clustering Running Titles to Understand the Printing of Early Modern Books., , , , , , and . CoRR, (2024)Lacuna Reconstruction: Self-Supervised Pre-Training for Low-Resource Historical Document Transcription., , , and . NAACL-HLT (Findings), page 206-216. Association for Computational Linguistics, (2022)NeuroSpeech., , , , , , , , , and 6 other author(s). SoftwareX, (2018)Multi-view representation learning via gcca for multimodal analysis of Parkinson's disease., , , , , , , , , and 5 other author(s). ICASSP, page 2966-2970. IEEE, (2017)Simple Temporal Adaptation to Changing Label Sets: Hashtag Prediction via Dense KNN., , , , , and . EMNLP, page 7302-7311. Association for Computational Linguistics, (2023)Non-Parametric Temporal Adaptation for Social Media Topic Classification., , , , , and . CoRR, (2022)Lost in Interpretation: Predicting Untranslated Terminology in Simultaneous Interpretation., , and . NAACL-HLT (1), page 109-118. Association for Computational Linguistics, (2019)Contrastive Attention Networks for Attribution of Early Modern Print., , , , , , , and . AAAI, page 5285-5293. AAAI Press, (2023)NeuroSpeech: An open-source software for Parkinson's speech analysis., , , , , , , , , and 6 other author(s). Digit. Signal Process., (2018)