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ORCIDFrank Rudzicz
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- affiliation: University of Toronto, Canada
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2020 – today
- 2024
[j35]Behrad Taghibeyglou
, Frank Rudzicz:
Context is not key: Detecting Alzheimer's disease with both classical and transformer-based neural language models. Nat. Lang. Process. J. 6: 100046 (2024)- [c107]Xindi Wang, Robert E. Mercer, Frank Rudzicz:
Auxiliary Knowledge-Induced Learning for Automatic Multi-Label Medical Document Classification. LREC/COLING 2024: 2006-2016 - [c106]Sudipta Singha Roy, Xindi Wang, Robert E. Mercer, Frank Rudzicz:
Graph-tree Fusion Model with Bidirectional Information Propagation for Long Document Classification. EMNLP (Findings) 2024: 4460-4470 - [c105]Domenic Rosati, Jan Wehner, Kai Williams, Lukasz Bartoszcze, Hassan Sajjad, Frank Rudzicz:
Immunization against harmful fine-tuning attacks. EMNLP (Findings) 2024: 5234-5247 - [c104]Domenic Rosati, Robie Gonzales, Jinkun Chen, Xuemin Yu, Yahya Kayani, Frank Rudzicz, Hassan Sajjad:
Long-form evaluation of model editing. NAACL-HLT 2024: 3749-3780 - [c103]Xindi Wang, Robert E. Mercer, Frank Rudzicz:
Multi-stage Retrieve and Re-rank Model for Automatic Medical Coding Recommendation. NAACL-HLT 2024: 4881-4891 - [c102]Marissa Ramirez de Chanlatte, Phillip Colella, Trevor Darrell, Alexandra Carlson, Peter H. N. de With, Huayu Deng, Shanyan Guan, James Hays, Tim Houben, Thomas Huisman, Nikita Jaipuria, Hans Johansen, Shuja Khalid, Akshay Krishnan, Chuming Li, Maxim Pisarenco, Amit Raj, Frank Rudzicz, Tim J. Schoonbeek, Sandhya Sridhar, Nathan Tseng, Fons van der Sommen, Chen Wang, Yunbo Wang, Tong Wu, Xiaokang Yang, Jiawei Yao, Derek Young, Xianling Zhang:
Proceedings of the Workshop on 3D Geometry Generation for Scientific Computing. WACV (Workshops) 2024: 762-766 - [i84]Domenic Rosati, Robie Gonzales, Jinkun Chen, Xuemin Yu, Melis Erkan, Yahya Kayani, Satya Deepika Chavatapalli, Frank Rudzicz, Hassan Sajjad:
Long-form evaluation of model editing. CoRR abs/2402.09394 (2024) - [i83]Domenic Rosati, Jan Wehner, Kai Williams, Lukasz Bartoszcze, Jan Batzner, Hassan Sajjad, Frank Rudzicz:
Immunization against harmful fine-tuning attacks. CoRR abs/2402.16382 (2024) - [i82]Rohan Deepak Ajwani, Zining Zhu, Jonathan Rose, Frank Rudzicz:
Plug and Play with Prompts: A Prompt Tuning Approach for Controlling Text Generation. CoRR abs/2404.05143 (2024) - [i81]Rohan Deepak Ajwani, Shashidhar Reddy Javaji, Frank Rudzicz, Zining Zhu:
LLM-Generated Black-box Explanations Can Be Adversarially Helpful. CoRR abs/2405.06800 (2024) - [i80]Raeid Saqur, Ken Kato, Nicholas Vinden, Frank Rudzicz:
NIFTY Financial News Headlines Dataset. CoRR abs/2405.09747 (2024) - [i79]Domenic Rosati, Jan Wehner, Kai Williams, Lukasz Bartoszcze, David Atanasov, Robie Gonzales, Subhabrata Majumdar, Carsten Maple, Hassan Sajjad, Frank Rudzicz:
Representation noising effectively prevents harmful fine-tuning on LLMs. CoRR abs/2405.14577 (2024) - [i78]Xindi Wang, Robert E. Mercer, Frank Rudzicz:
Auxiliary Knowledge-Induced Learning for Automatic Multi-Label Medical Document Classification. CoRR abs/2405.19084 (2024) - [i77]Xindi Wang, Robert E. Mercer, Frank Rudzicz:
Multi-stage Retrieve and Re-rank Model for Automatic Medical Coding Recommendation. CoRR abs/2405.19093 (2024) - [i76]François Roewer-Després, Jinyue Feng, Zining Zhu, Frank Rudzicz:
ACCORD: Closing the Commonsense Measurability Gap. CoRR abs/2406.02804 (2024) - [i75]Raeid Saqur, Anastasis Kratsios, Florian Krach, Yannick Limmer, Jacob-Junqi Tian, John Willes, Blanka Horvath, Frank Rudzicz:
Filtered not Mixed: Stochastic Filtering-Based Online Gating for Mixture of Large Language Models. CoRR abs/2406.02969 (2024) - [i74]Pengshuo Qiu, Frank Rudzicz, Zining Zhu:
Scenarios and Approaches for Situated Natural Language Explanations. CoRR abs/2406.05035 (2024) - [i73]Xi Yu Huang, Krishnapriya Vishnubhotla, Frank Rudzicz:
The GPT-WritingPrompts Dataset: A Comparative Analysis of Character Portrayal in Short Stories. CoRR abs/2406.16767 (2024) - [i72]Sri Harsha Dumpala, Katerina Dikaios, Abraham Nunes, Frank Rudzicz, Rudolf Uher, Sageev Oore:
Self-Supervised Embeddings for Detecting Individual Symptoms of Depression. CoRR abs/2406.17229 (2024) - [i71]Huaizhi Ge, Frank Rudzicz, Zining Zhu:
What Do the Circuits Mean? A Knowledge Edit View. CoRR abs/2406.17241 (2024) - [i70]Huaizhi Ge, Frank Rudzicz, Zining Zhu:
How Well Can Knowledge Edit Methods Edit Perplexing Knowledge? CoRR abs/2406.17253 (2024) - [i69]Domenic Rosati, Giles Edkins, Harsh Raj, David Atanasov, Subhabrata Majumdar, Janarthanan Rajendran, Frank Rudzicz, Hassan Sajjad:
Defending against Reverse Preference Attacks is Difficult. CoRR abs/2409.12914 (2024) - [i68]Sudipta Singha Roy, Xindi Wang, Robert E. Mercer, Frank Rudzicz:
Graph-tree Fusion Model with Bidirectional Information Propagation for Long Document Classification. CoRR abs/2410.02930 (2024) - [i67]Ian Berlot-Attwell, Frank Rudzicz, Xujie Si:
Library Learning Doesn't: The Curious Case of the Single-Use "Library". CoRR abs/2410.20274 (2024) - 2023
- [c101]Krishnapriya Vishnubhotla, Frank Rudzicz, Graeme Hirst, Adam Hammond:
Improving Automatic Quotation Attribution in Literary Novels. ACL (2) 2023: 737-746 - [c100]Behrad Taghibeyglou, Frank Rudzicz:
Who needs context? Classical techniques for Alzheimer's disease detection. ClinicalNLP@ACL 2023: 102-107 - [c99]Xindi Wang, Yufei Wang, Can Xu, Xiubo Geng, Bowen Zhang, Chongyang Tao, Frank Rudzicz, Robert E. Mercer, Daxin Jiang:
Investigating the Learning Behaviour of In-Context Learning: A Comparison with Supervised Learning. ECAI 2023: 2543-2551 - [c98]Esmat Sahak, Zining Zhu, Frank Rudzicz:
A State-Vector Framework for Dataset Effects. EMNLP 2023: 15231-15245 - [i66]Stephen Obadinma, Faiza Khan Khattak, Shirley Wang, Tania Sidhom, Elaine Lau, Sean Robertson, Jingcheng Niu, Winnie Au, Alif Munim, Karthik Raja K. Bhaskar, Bencheng Wei, Iris Ren, Waqar Muhammad, Erin Li, Bukola Ishola, Michael Wang, Griffin Tanner, Yu-Jia Shiah, Sean X. Zhang, Kwesi P. Apponsah, Kanishk Patel, Jaswinder Narain, Deval Pandya, Xiaodan Zhu, Frank Rudzicz, Elham Dolatabadi:
Bringing the State-of-the-Art to Customers: A Neural Agent Assistant Framework for Customer Service Support. CoRR abs/2302.03222 (2023) - [i65]Shuja Khalid, Frank Rudzicz:
RefiNeRF: Modelling dynamic neural radiance fields with inconsistent or missing camera parameters. CoRR abs/2303.08695 (2023) - [i64]Faiza Khan Khattak, Vallijah Subasri, Amrit Krishnan, Elham Dolatabadi, Deval Pandya, Laleh Seyyed-Kalantari, Frank Rudzicz:
MLHOps: Machine Learning for Healthcare Operations. CoRR abs/2305.02474 (2023) - [i63]Krishnapriya Vishnubhotla, Frank Rudzicz, Graeme Hirst, Adam Hammond:
Improving Automatic Quotation Attribution in Literary Novels. CoRR abs/2307.03734 (2023) - [i62]Xindi Wang, Yufei Wang, Can Xu, Xiubo Geng, Bowen Zhang, Chongyang Tao, Frank Rudzicz, Robert E. Mercer, Daxin Jiang:
Investigating the Learning Behaviour of In-context Learning: A Comparison with Supervised Learning. CoRR abs/2307.15411 (2023) - [i61]Shuja Khalid, Frank Rudzicz:
SurGNN: Explainable visual scene understanding and assessment of surgical skill using graph neural networks. CoRR abs/2308.13073 (2023) - [i60]Zining Zhu, Haoming Jiang, Jingfeng Yang, Sreyashi Nag, Chao Zhang, Jie Huang, Yifan Gao, Frank Rudzicz, Bing Yin:
Situated Natural Language Explanations. CoRR abs/2308.14115 (2023) - [i59]Zining Zhu, Frank Rudzicz:
Measuring Information in Text Explanations. CoRR abs/2310.04557 (2023) - [i58]Esmat Sahak, Zining Zhu, Frank Rudzicz:
A State-Vector Framework for Dataset Effects. CoRR abs/2310.10955 (2023) - 2022
- [j34]Kyle Lam, Michael D. Abràmoff, José M. Balibrea, Steven M. Bishop, Richard R. Brady, Rachael Callcut, Manish Chand, Justin Collins, Markus K. Diener, Matthias Eisenmann, Kelly Fermont, Manoel Galvao Neto, Gregory D. Hager, Robert J. Hinchliffe, Alan Horgan, Pierre Jannin, Alexander Langerman, Kartik Logishetty, Amit Mahadik, Lena Maier-Hein, Esteban Martín Antona, Pietro Mascagni, Ryan K. Mathew, Beat P. Müller-Stich, Thomas Neumuth, Felix Nickel, Adrian Park, Gianluca Pellino, Frank Rudzicz, Sam Shah, Mark Slack, Myles J. Smith, Naeem Soomro, Stefanie Speidel, Danail Stoyanov, Henry S. Tilney, Martin Wagner, Ara Darzi, James Kinross, Sanjay Purkayastha:
A Delphi consensus statement for digital surgery. npj Digit. Medicine 5 (2022) - [c97]Arvid Frydenlund, Gagandeep Singh, Frank Rudzicz:
Language Modelling via Learning to Rank. AAAI 2022: 10636-10644 - [c96]Xindi Wang, Robert E. Mercer, Frank Rudzicz:
KenMeSH: Knowledge-enhanced End-to-end Biomedical Text Labelling. ACL (1) 2022: 2941-2951 - [c95]Zining Zhu, Jixuan Wang, Bai Li, Frank Rudzicz:
On the data requirements of probing. ACL (Findings) 2022: 4132-4147 - [c94]Bai Li, Zining Zhu, Guillaume Thomas, Frank Rudzicz, Yang Xu:
Neural reality of argument structure constructions. ACL (1) 2022: 7410-7423 - [c93]Ian Berlot-Attwell, Frank Rudzicz:
Relevance in Dialogue: Is Less More? An Empirical Comparison of Existing Metrics, and a Novel Simple Metric. ConvAI@ACL 2022: 166-183 - [c92]Hillary Ngai, Frank Rudzicz:
Doctor XAvIer: Explainable Diagnosis on Physician-Patient Dialogues and XAI Evaluation. BioNLP@ACL 2022: 337-344 - [c91]Malikeh Ehghaghi, Frank Rudzicz, Jekaterina Novikova:
Data-driven Approach to Differentiating between Depression and Dementia from Noisy Speech and Language Data. W-NUT@COLING 2022: 24-37 - [c90]Zining Zhu, Soroosh Shahtalebi, Frank Rudzicz:
Predicting Fine-Tuning Performance with Probing. EMNLP 2022: 11534-11547 - [c89]Aparna Balagopalan, Haoran Zhang, Kimia Hamidieh, Thomas Hartvigsen, Frank Rudzicz, Marzyeh Ghassemi:
The Road to Explainability is Paved with Bias: Measuring the Fairness of Explanations. FAccT 2022: 1194-1206 - [c88]Jean-Christophe Gagnon-Audet, Soroosh Shahtalebi, Frank Rudzicz, Irina Rish:
A Remedy For Distributional Shifts Through Expected Domain Translation. ICASSP 2022: 4523-4527 - [c87]Xindi Wang, Robert E. Mercer, Frank Rudzicz:
MeSHup: Corpus for Full Text Biomedical Document Indexing. LREC 2022: 5473-5483 - [c86]Yoon A. Park, Frank Rudzicz:
Detoxifying Language Models with a Toxic Corpus. LT-EDI 2022: 41-46 - [i57]Jixuan Wang, Kuan-Chieh Wang, Frank Rudzicz, Michael Brudno:
Grad2Task: Improved Few-shot Text Classification Using Gradients for Task Representation. CoRR abs/2201.11576 (2022) - [i56]Yuchen Li, Frank Rudzicz:
Improving greedy core-set configurations for active learning with uncertainty-scaled distances. CoRR abs/2202.04251 (2022) - [i55]Bai Li, Zining Zhu, Guillaume Thomas, Frank Rudzicz, Yang Xu:
Neural reality of argument structure constructions. CoRR abs/2202.12246 (2022) - [i54]Zining Zhu, Jixuan Wang, Bai Li, Frank Rudzicz:
On the data requirements of probing. CoRR abs/2202.12801 (2022) - [i53]Xindi Wang, Robert E. Mercer, Frank Rudzicz:
KenMeSH: Knowledge-enhanced End-to-end Biomedical Text Labelling. CoRR abs/2203.06835 (2022) - [i52]Hillary Ngai, Frank Rudzicz:
Doctor XAvIer: Explainable Diagnosis on Physician-Patient Dialogues and XAI Evaluation. CoRR abs/2204.10178 (2022) - [i51]Xindi Wang, Robert E. Mercer, Frank Rudzicz:
MeSHup: A Corpus for Full Text Biomedical Document Indexing. CoRR abs/2204.13604 (2022) - [i50]Yoon A. Park, Frank Rudzicz:
Detoxifying Language Models with a Toxic Corpus. CoRR abs/2205.00320 (2022) - [i49]Aparna Balagopalan, Haoran Zhang, Kimia Hamidieh, Thomas Hartvigsen, Frank Rudzicz, Marzyeh Ghassemi:
The Road to Explainability is Paved with Bias: Measuring the Fairness of Explanations. CoRR abs/2205.03295 (2022) - [i48]Ian Berlot-Attwell, Frank Rudzicz:
Relevance in Dialogue: Is Less More? An Empirical Comparison of Existing Metrics, and a Novel Simple Metric. CoRR abs/2206.01823 (2022) - [i47]Zining Zhu, Soroosh Shahtalebi, Frank Rudzicz:
OOD-Probe: A Neural Interpretation of Out-of-Domain Generalization. CoRR abs/2208.12352 (2022) - [i46]Shuja Khalid, Frank Rudzicz:
wildNeRF: Complete view synthesis of in-the-wild dynamic scenes captured using sparse monocular data. CoRR abs/2209.10399 (2022) - [i45]Malikeh Ehghaghi, Frank Rudzicz, Jekaterina Novikova:
Data-driven Approach to Differentiating between Depression and Dementia from Noisy Speech and Language Data. CoRR abs/2210.03303 (2022) - [i44]Zining Zhu, Soroosh Shahtalebi, Frank Rudzicz:
Predicting Fine-Tuning Performance with Probing. CoRR abs/2210.07352 (2022) - 2021
- [j33]Youness Aliyari Ghassabeh, Frank Rudzicz:
Modified Subspace Constrained Mean Shift Algorithm. J. Classif. 38(1): 27-43 (2021) - [c85]Krishnapriya Vishnubhotla, Graeme Hirst, Frank Rudzicz:
An Evaluation of Disentangled Representation Learning for Texts. ACL/IJCNLP (Findings) 2021: 1939-1951 - [c84]Bai Li, Zining Zhu, Guillaume Thomas, Yang Xu, Frank Rudzicz:
How is BERT surprised? Layerwise detection of linguistic anomalies. ACL/IJCNLP (1) 2021: 4215-4228 - [c83]Bai Li, Frank Rudzicz:
TorontoCL at CMCL 2021 Shared Task: RoBERTa with Multi-Stage Fine-Tuning for Eye-Tracking Prediction. CMLS 2021: 85-89 - [c82]Aida Ramezani, Zining Zhu, Frank Rudzicz, Yang Xu:
An unsupervised framework for tracing textual sources of moral change. EMNLP (Findings) 2021: 1215-1228 - [c81]Daniyal Liaqat, Salaar Liaqat, Jun Lin Chen, Tina Sedaghat, Moshe Gabel, Frank Rudzicz, Eyal de Lara:
Coughwatch: Real-World Cough Detection using Smartwatches. ICASSP 2021: 8333-8337 - [c80]Haiqi Wei, Frank Rudzicz, David Fleet, Teodor P. Grantcharov, Babak Taati:
Intraoperative Adverse Event Detection in Laparoscopic Surgery: Stabilized Multi-Stage Temporal Convolutional Network with Focal-Uncertainty Loss. MLHC 2021: 283-307 - [c79]Jixuan Wang, Kuan-Chieh Wang, Frank Rudzicz, Michael Brudno:
Grad2Task: Improved Few-shot Text Classification Using Gradients for Task Representation. NeurIPS 2021: 6542-6554 - [i43]Demetres Kostas, Stephane Aroca-Ouellette, Frank Rudzicz:
BENDR: using transformers and a contrastive self-supervised learning task to learn from massive amounts of EEG data. CoRR abs/2101.12037 (2021) - [i42]Jixuan Wang, Xiong Xiao, Jian Wu, Ranjani Ramamurthy, Frank Rudzicz, Michael Brudno:
Speaker attribution with voice profiles by graph-based semi-supervised learning. CoRR abs/2102.03634 (2021) - [i41]Elsa Riachi, Muhammad Mamdani, Michael Fralick, Frank Rudzicz:
Challenges for Reinforcement Learning in Healthcare. CoRR abs/2103.05612 (2021) - [i40]Ian Berlot-Attwell, Frank Rudzicz:
On the Use of Linguistic Features for the Evaluation of Generative Dialogue Systems. CoRR abs/2104.06335 (2021) - [i39]Bai Li, Frank Rudzicz:
TorontoCL at CMCL 2021 Shared Task: RoBERTa with Multi-Stage Fine-Tuning for Eye-Tracking Prediction. CoRR abs/2104.07244 (2021) - [i38]Bai Li, Zining Zhu, Guillaume Thomas, Yang Xu, Frank Rudzicz:
How is BERT surprised? Layerwise detection of linguistic anomalies. CoRR abs/2105.07452 (2021) - [i37]Zining Zhu, Bai Li, Yang Xu, Frank Rudzicz:
What do writing features tell us about AI papers? CoRR abs/2107.06310 (2021) - [i36]Aida Ramezani, Zining Zhu, Frank Rudzicz, Yang Xu:
An unsupervised framework for tracing textual sources of moral change. CoRR abs/2109.00608 (2021) - [i35]Arvid Frydenlund, Gagandeep Singh, Frank Rudzicz:
Language Modelling via Learning to Rank. CoRR abs/2110.06961 (2021) - [i34]Zining Zhu, Aparna Balagopalan, Marzyeh Ghassemi, Frank Rudzicz:
Quantifying the Task-Specific Information in Text-Based Classifications. CoRR abs/2110.08931 (2021) - 2020
- [j32]Mohamed Abdalla, Moustafa Abdalla, Frank Rudzicz, Graeme Hirst:
Using word embeddings to improve the privacy of clinical notes. J. Am. Medical Informatics Assoc. 27(6): 901-907 (2020) - [j31]Chloé Pou-Prom, Stefania Raimondo, Frank Rudzicz:
A Conversational Robot for Older Adults with Alzheimer's Disease. ACM Trans. Hum. Robot Interact. 9(3): 21:1-21:25 (2020) - [c78]John Chen, Ian Berlot-Attwell, Xindi Wang, Safwan Hossain, Frank Rudzicz:
Exploring Text Specific and Blackbox Fairness Algorithms in Multimodal Clinical NLP. ClinicalNLP@EMNLP 2020: 301-312 - [c77]Zining Zhu, Chuer Pan, Mohamed Abdalla, Frank Rudzicz:
Examining the rhetorical capacities of neural language models. BlackboxNLP@EMNLP 2020: 16-32 - [c76]Bai Li, Guillaume Thomas, Yang Xu, Frank Rudzicz:
Word class flexibility: A deep contextualized approach. EMNLP (1) 2020: 983-994 - [c75]Jinyue Feng, Chantal Shaib, Frank Rudzicz:
Explainable Clinical Decision Support from Text. EMNLP (1) 2020: 1478-1489 - [c74]Stephane Aroca-Ouellette, Frank Rudzicz:
On Losses for Modern Language Models. EMNLP (1) 2020: 4970-4981 - [c73]Zining Zhu, Frank Rudzicz:
An information theoretic view on selecting linguistic probes. EMNLP (1) 2020: 9251-9262 - [c72]Jixuan Wang, Xiong Xiao, Jian Wu, Ranjani Ramamurthy, Frank Rudzicz, Michael Brudno:
Speaker Diarization with Session-Level Speaker Embedding Refinement Using Graph Neural Networks. ICASSP 2020: 7109-7113 - [c71]Jixuan Wang, Xiong Xiao, Jian Wu, Ranjani Ramamurthy, Frank Rudzicz, Michael Brudno:
Speaker Attribution with Voice Profiles by Graph-Based Semi-Supervised Learning. INTERSPEECH 2020: 289-293 - [c70]Aparna Balagopalan, Benjamin Eyre, Frank Rudzicz, Jekaterina Novikova:
To BERT or not to BERT: Comparing Speech and Language-Based Approaches for Alzheimer's Disease Detection. INTERSPEECH 2020: 2167-2171 - [c69]Rachid Riad, Anne-Catherine Bachoud-Lévi, Frank Rudzicz, Emmanuel Dupoux:
Identification of Primary and Collateral Tracks in Stuttered Speech. LREC 2020: 1681-1688 - [c68]Bai Li, Jing Yi Xie, Frank Rudzicz:
Representation Learning for Discovering Phonemic Tone Contours. SIGMORPHON 2020: 217-223 - [i33]Daniyal Liaqat, Robert Wu, Salaar Liaqat, Eyal de Lara, Andrea Gershon, Frank Rudzicz:
The Ground Truth Trade-Off in Wearable Sensing Studies. CoRR abs/2001.09738 (2020) - [i32]Rachid Riad, Anne-Catherine Bachoud-Lévi, Frank Rudzicz, Emmanuel Dupoux:
Identification of primary and collateral tracks in stuttered speech. CoRR abs/2003.01018 (2020) - [i31]Jixuan Wang, Xiong Xiao, Jian Wu, Ranjani Ramamurthy, Frank Rudzicz, Michael Brudno:
Speaker diarization with session-level speaker embedding refinement using graph neural networks. CoRR abs/2005.11371 (2020) - [i30]Arnold Y. S. Yeung, Shalmali Joshi, Joseph Jay Williams, Frank Rudzicz:
Sequential Explanations with Mental Model-Based Policies. CoRR abs/2007.09028 (2020) - [i29]Frank Rudzicz, Raeid Saqur:
Ethics of Artificial Intelligence in Surgery. CoRR abs/2007.14302 (2020) - [i28]Aparna Balagopalan, Benjamin Eyre, Frank Rudzicz, Jekaterina Novikova:
To BERT or Not To BERT: Comparing Speech and Language-based Approaches for Alzheimer's Disease Detection. CoRR abs/2008.01551 (2020) - [i27]Zining Zhu, Frank Rudzicz:
An information theoretic view on selecting linguistic probes. CoRR abs/2009.07364 (2020) - [i26]Bai Li, Guillaume Thomas, Yang Xu, Frank Rudzicz:
Word class flexibility: A deep contextualized approach. CoRR abs/2009.09241 (2020) - [i25]Zining Zhu, Chuer Pan, Mohamed Abdalla, Frank Rudzicz:
Examining the rhetorical capacities of neural language models. CoRR abs/2010.00153 (2020) - [i24]Stephane Aroca-Ouellette, Frank Rudzicz:
On Losses for Modern Language Models. CoRR abs/2010.01694 (2020) - [i23]Zining Zhu, Yang Xu, Frank Rudzicz:
Semantic coordinates analysis reveals language changes in the AI field. CoRR abs/2011.00543 (2020) - [i22]John Chen, Ian Berlot-Attwell, Safwan Hossain, Xindi Wang, Frank Rudzicz:
Exploring Text Specific and Blackbox Fairness Algorithms in Multimodal Clinical NLP. CoRR abs/2011.09625 (2020)
2010 – 2019
- 2019
- [j30]Daniyal Liaqat, Mohamed Abdalla, Pegah Abed-Esfahani, Moshe Gabel, Tatiana Son, Robert Wu, Andrea Gershon, Frank Rudzicz, Eyal de Lara:
WearBreathing: Real World Respiratory Rate Monitoring Using Smartwatches. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 3(2): 56:1-56:22 (2019) - [j29]Faiza Khan Khattak, Serena Jeblee, Chloé Pou-Prom, Mohamed Abdalla, Christopher Meaney, Frank Rudzicz:
A survey of word embeddings for clinical text. J. Biomed. Informatics X 4: 100057 (2019) - [j28]Serena Jeblee, Mireille Gomes, Prabhat Jha, Frank Rudzicz, Graeme Hirst:
Automatically determining cause of death from verbal autopsy narratives. BMC Medical Informatics Decis. Mak. 19(1): 127:1-127:13 (2019) - [c67]Frank Rudzicz, P. Alison Paprica, Marta Janczarski:
Towards international standards for evaluating machine learning. SafeAI@AAAI 2019 - [c66]Serena Jeblee, Faiza Khan Khattak, Noah H. Crampton, Muhammad Mamdani, Frank Rudzicz:
Extracting relevant information from physician-patient dialogues for automated clinical note taking. LOUHI@EMNLP 2019: 65-74 - [c65]Jekaterina Novikova, Aparna Balagopalan, Ksenia Shkaruta, Frank Rudzicz:
Lexical Features Are More Vulnerable, Syntactic Features Have More Predictive Power. W-NUT@EMNLP 2019: 431-443 - [c64]Haoran Zhang, Jagadish Rangrej, Saad Rais, Michael Hillmer, Frank Rudzicz, Kamil Malikov:
Categorizing Emails Using Machine Learning with Textual Features. Canadian AI 2019: 3-15 - [c63]