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Frank Rudzicz

65 papers · 2006–2026 · 11 venues · across top CS/AI venues

This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 18 separate collaboration groups - the largest holds only 37% of them. Pick the group below that matches the researcher you mean. How a shared name is split.

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Which Frank Rudzicz?

4 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.

with Zining Zhu, Bai Li, Jekaterina Novikova 24 papers · 2016–2025 · EMNLP, NAACL, ACL Hide ▲
ACCORD: Closing the Commonsense Measurability Gap NAACL 2025 CausalLink: An Interactive Evaluation Framework for Causal Reasoning ACL 2025 A State-Vector Framework for Dataset Effects EMNLP 2023 Data-driven Approach to Differentiating between Depression and Dementia from Noisy Speech and Language Data COLING 2022 Neural reality of argument structure constructions ACL 2022 On the data requirements of probing ACL 2022 Predicting Fine-Tuning Performance with Probing EMNLP 2022 An unsupervised framework for tracing textual sources of moral change EMNLP 2021 Grad2Task: Improved Few-shot Text Classification Using Gradients for Task Representation NeurIPS 2021 How is BERT surprised? Layerwise detection of linguistic anomalies ACL 2021 TorontoCL at CMCL 2021 Shared Task: RoBERTa with Multi-Stage Fine-Tuning for Eye-Tracking Prediction NAACL 2021 An information theoretic view on selecting linguistic probes EMNLP 2020 Examining the rhetorical capacities of neural language models EMNLP 2020 Explainable Clinical Decision Support from Text EMNLP 2020 Representation Learning for Discovering Phonemic Tone Contours ACL 2020 Speaker Attribution with Voice Profiles by Graph-Based Semi-Supervised Learning Interspeech 2020 To BERT or not to BERT: Comparing Speech and Language-Based Approaches for Alzheimer’s Disease Detection Interspeech 2020 Word class flexibility: A deep contextualized approach EMNLP 2020 Detecting cognitive impairments by agreeing on interpretations of linguistic features NAACL 2019 Detecting dementia in Mandarin Chinese using transfer learning from a parallel corpus NAACL 2019 How do we feel when a robot dies? Emotions expressed on Twitter before and after hitchBOT’s destruction NAACL 2019 Lexical Features Are More Vulnerable, Syntactic Features Have More Predictive Power EMNLP 2019 Multilingual prediction of Alzheimer’s disease through domain adaptation and concept-based language modelling NAACL 2019 Speech Recognition in Alzheimer’s Disease and in its Assessment Interspeech 2016
14 papers whose co-authors appear nowhere else under this name