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Structurally-Informed Deconvolution of Functional Magnetic Resonance Imaging Data.

, , , and . ISBI, page 1545-1549. IEEE, (2019)

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Structurally-Informed Deconvolution of Functional Magnetic Resonance Imaging Data., , , and . ISBI, page 1545-1549. IEEE, (2019)Multimodal Embodied Plan Prediction Augmented with Synthetic Embodied Dialogue., , , , and . EMNLP, page 6114-6131. Association for Computational Linguistics, (2023)Combining Discourse Coherence with Large Language Models for More Inclusive, Equitable, and Robust Task-Oriented Dialogue., , , and . LREC/COLING, page 3538-3552. ELRA and ICCL, (2024)Learning cognitive and linguistic prosodic categories for automatic cross-lingual sign language understanding., , , , and . CogSci, cognitivesciencesociety.org, (2022)Including Facial Expressions in Contextual Embeddings for Sign Language Generation., , , and . *SEM@ACL, page 1-10. Association for Computational Linguistics, (2023)Zero-shot Cross-Linguistic Learning of Event Semantics., , , , , , , , and . CoRR, (2022)COSMic: A Coherence-Aware Generation Metric for Image Descriptions., , , , , and . EMNLP (Findings), page 3419-3430. Association for Computational Linguistics, (2021)Learning to Generate Context-Sensitive Backchannel Smiles for Embodied AI Agents with Applications in Mental Health Dialogues., , , , and . ML4CMH@AAAI, volume 3649 of CEUR Workshop Proceedings, page 12-22. CEUR-WS.org, (2024)Findings of the Second WMT Shared Task on Sign Language Translation (WMT-SLT23)., , , , , , , , , and 9 other author(s). WMT, page 68-94. Association for Computational Linguistics, (2023)Seeing Eye-to-Eye: Cross-Modal Coherence Relations Inform Eye-gaze Patterns During Comprehension & Production., and . LREC/COLING, page 14494-14512. ELRA and ICCL, (2024)