On the impact of non-modal phonation on phonological features. - Milos Cernak; Elmar Nöth; Frank Rudzicz; Heidi Christensen; Juan Rafael Orozco-Arroyave; Raman Arora; Tobias Bocklet; Hamidreza Chinaei; Julius Hannink; Phani Sankar Nidadavolu; Juan Camilo Vásquez-Correa; Maria Yancheva; et al. (ICASSP, 2017)

Multi-view representation learning via gcca for multimodal analysis of Parkinson's disease. - Juan Camilo Vásquez-Correa; Juan Rafael Orozco-Arroyave; Raman Arora; Elmar Nöth; Najim Dehak; Heidi Christensen; Frank Rudzicz; Tobias Bocklet; Milos Cernak; Hamid R. Chinaei; Julius Hannink; Phani Sankar Nidadavolu; et al. (ICASSP, 2017)

Automatic Estimation of Simultaneous Interpreter Performance. - Craig Stewart; Nikolai Vogler; Junjie Hu 001; Jordan L. Boyd-Graber; Graham Neubig (ACL (2), 2018)

NeuroSpeech: An open-source software for Parkinson's speech analysis. - Juan Rafael Orozco-Arroyave; Juan Camilo Vásquez-Correa; Jesús Francisco Vargas-Bonilla; Raman Arora; Najim Dehak; Phani S. Nidadavolu; Heidi Christensen; Frank Rudzicz; Maria Yancheva; Hamid R. Chinaei; Alyssa Vann; Nikolai Vogler; et al. (Digit. Signal Process., 2018)

NeuroSpeech. - Juan Rafael Orozco-Arroyave; Juan Camilo Vásquez-Correa; Jesús Francisco Vargas-Bonilla; Raman Arora; Najim Dehak; Phani S. Nidadavolu; Heidi Christensen; Frank Rudzicz; Maria Yancheva; Hamid R. Chinaei; Alyssa Vann; Nikolai Vogler; et al. (SoftwareX, 2018)

Lost in Interpretation: Predicting Untranslated Terminology in Simultaneous Interpretation. - Nikolai Vogler; Craig Stewart; Graham Neubig (NAACL-HLT (1), 2019)

Using linguistically defined specific details to detect deception across domains. - Nikolai Vogler; Lisa Pearl (Nat. Lang. Eng., 2020)

Lacuna Reconstruction: Self-Supervised Pre-Training for Low-Resource Historical Document Transcription. - Nikolai Vogler; Jonathan Parkes Allen; Matthew Thomas Miller; Taylor Berg-Kirkpatrick (NAACL-HLT (Findings), 2022)

An Unsupervised Masking Objective for Abstractive Multi-Document News Summarization. - Nikolai Vogler; Songlin Li; Yujie Xu; Yujian Mi; Taylor Berg-Kirkpatrick (CoRR, 2022)

Non-Parametric Temporal Adaptation for Social Media Topic Classification. - Fatemehsadat Mireshghallah; Nikolai Vogler; Junxian He; Omar Florez; Ahmed El-Kishky; Taylor Berg-Kirkpatrick (CoRR, 2022)

Contrastive Attention Networks for Attribution of Early Modern Print. - Nikolai Vogler; Kartik Goyal; Kishore PV Reddy; Elizaveta Pertseva; Samuel V. Lemley; Christopher N. Warren; Max G'Sell; Taylor Berg-Kirkpatrick (AAAI, 2023)

Simple Temporal Adaptation to Changing Label Sets: Hashtag Prediction via Dense KNN. - Niloofar Mireshghallah; Nikolai Vogler; Junxian He; Omar Florez; Ahmed El-Kishky; Taylor Berg-Kirkpatrick (EMNLP, 2023)

Clustering Running Titles to Understand the Printing of Early Modern Books. - Nikolai Vogler; Kartik Goyal; Samuel V. Lemley; D. J. Schuldt; Christopher N. Warren; Max G'Sell; Taylor Berg-Kirkpatrick (ICDAR (3), 2024)