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- affiliation: Northeastern University, USA
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2020 – today
- 2023
[c89]Sanjana Ramprasad, Denis Jered McInerney, Iain James Marshall, Byron C. Wallace:
Automatically Summarizing Evidence from Clinical Trials: A Prototype Highlighting Current Challenges. EACL (System Demonstrations) 2023: 236-247- [c88]Somin Wadhwa, Vivek Khetan, Silvio Amir, Byron C. Wallace:
RedHOT: A Corpus of Annotated Medical Questions, Experiences, and Claims on Social Media. EACL (Findings) 2023: 797 - [c87]Junru Lu, Jiazheng Li, Byron C. Wallace, Yulan He, Gabriele Pergola:
NapSS: Paragraph-level Medical Text Simplification via Narrative Prompting and Sentence-matching Summarization. EACL (Findings) 2023: 1049-1061 - [c86]Jinghan Yang, Sarthak Jain, Byron C. Wallace:
How Many and Which Training Points Would Need to be Removed to Flip this Prediction? EACL 2023: 2563-2576 - [i61]Jay DeYoung, Stephanie C. Martinez, Iain James Marshall, Byron C. Wallace:
Do Multi-Document Summarization Models Synthesize? CoRR abs/2301.13844 (2023) - [i60]Jinghan Yang, Sarthak Jain, Byron C. Wallace:
How Many and Which Training Points Would Need to be Removed to Flip this Prediction? CoRR abs/2302.02169 (2023) - [i59]Junru Lu, Jiazheng Li, Byron C. Wallace, Yulan He, Gabriele Pergola:
NapSS: Paragraph-level Medical Text Simplification via Narrative Prompting and Sentence-matching Summarization. CoRR abs/2302.05574 (2023) - [i58]Denis Jered McInerney, Geoffrey Young, Jan-Willem van de Meent, Byron C. Wallace:
CHiLL: Zero-shot Custom Interpretable Feature Extraction from Clinical Notes with Large Language Models. CoRR abs/2302.12343 (2023) - [i57]Sanjana Ramprasad, Denis Jered McInerney, Iain James Marshall, Byron C. Wallace:
Automatically Summarizing Evidence from Clinical Trials: A Prototype Highlighting Current Challenges. CoRR abs/2303.05392 (2023) - [i56]Somin Wadhwa, Jay DeYoung, Benjamin E. Nye, Silvio Amir, Byron C. Wallace:
Jointly Extracting Interventions, Outcomes, and Findings from RCT Reports with LLMs. CoRR abs/2305.03642 (2023) - [i55]Somin Wadhwa, Silvio Amir, Byron C. Wallace:
Revisiting Relation Extraction in the era of Large Language Models. CoRR abs/2305.05003 (2023) - [i54]Chantal Shaib, Millicent L. Li, Sebastian Joseph, Iain James Marshall, Junyi Jessy Li, Byron C. Wallace:
Summarizing, Simplifying, and Synthesizing Medical Evidence Using GPT-3 (with Varying Success). CoRR abs/2305.06299 (2023) - [i53]Hye Sun Yun, Iain James Marshall, Thomas A. Trikalinos, Byron C. Wallace:
Appraising the Potential Uses and Harms of LLMs for Medical Systematic Reviews. CoRR abs/2305.11828 (2023) - [i52]Sebastian Joseph, Kathryn Kazanas, Keziah Reina, Vishnesh J. Ramanathan, Wei Xu, Byron C. Wallace, Junyi Jessy Li:
Multilingual Simplification of Medical Texts. CoRR abs/2305.12532 (2023) - 2022
- [c85]Pouya Pezeshkpour, Sarthak Jain, Sameer Singh, Byron C. Wallace:
Combining Feature and Instance Attribution to Detect Artifacts. ACL (Findings) 2022: 1934-1946 - [c84]Ashwin Devaraj, William Sheffield, Byron C. Wallace, Junyi Jessy Li:
Evaluating Factuality in Text Simplification. ACL (1) 2022: 7331-7345 - [c83]Diego García-Olano, Yasumasa Onoe, Joydeep Ghosh, Byron C. Wallace:
Intermediate Entity-based Sparse Interpretable Representation Learning. BlackboxNLP@EMNLP 2022: 210-224 - [c82]Lucy Lu Wang, Jay DeYoung, Byron C. Wallace:
Overview of MSLR2022: A Shared Task on Multi-document Summarization for Literature Reviews. SDP@COLING 2022: 175-180 - [c81]Sarthak Jain, Varun Manjunatha, Byron C. Wallace, Ani Nenkova:
Influence Functions for Sequence Tagging Models. EMNLP (Findings) 2022: 824-839 - [c80]Denis Jered McInerney, Geoffrey Young, Jan-Willem van de Meent, Byron C. Wallace:
That's the Wrong Lung! Evaluating and Improving the Interpretability of Unsupervised Multimodal Encoders for Medical Data. EMNLP 2022: 3626-3648 - [c79]Zhaoyue Sun, Jiazheng Li, Gabriele Pergola, Byron C. Wallace, Bino John, Nigel Greene, Joseph Kim, Yulan He:
PHEE: A Dataset for Pharmacovigilance Event Extraction from Text. EMNLP 2022: 5571-5587 - [c78]Nikita Salkar, Thomas A. Trikalinos, Byron C. Wallace, Ani Nenkova:
Self-Repetition in Abstractive Neural Summarizers. AACL/IJCNLP (2) 2022: 341-350 - [i51]Ashwin Devaraj, William Sheffield, Byron C. Wallace, Junyi Jessy Li:
Evaluating Factuality in Text Simplification. CoRR abs/2204.07562 (2022) - [i50]Eric Lehman, Vladislav Lialin, Katelyn Y. Legaspi, Anne Janelle R. Sy, Patricia Therese S. Pile, Nicole Rose I. Alberto, Richard Raymund R. Ragasa, Corinna Victoria M. Puyat, Isabelle Rose I. Alberto, Pia Gabrielle I. Alfonso, Marianne Taliño, Dana Moukheiber, Byron C. Wallace, Anna Rumshisky, Jennifer J. Liang
, Preethi Raghavan, Leo Anthony Celi, Peter Szolovits:
Learning to Ask Like a Physician. CoRR abs/2206.02696 (2022) - [i49]Somin Wadhwa, Vivek Khetan, Silvio Amir, Byron C. Wallace:
RedHOT: A Corpus of Annotated Medical Questions, Experiences, and Claims on Social Media. CoRR abs/2210.06331 (2022) - [i48]Denis Jered McInerney, Geoffrey Young, Jan-Willem van de Meent, Byron C. Wallace:
That's the Wrong Lung! Evaluating and Improving the Interpretability of Unsupervised Multimodal Encoders for Medical Data. CoRR abs/2210.06565 (2022) - [i47]Nikita Salkar, Thomas A. Trikalinos, Byron C. Wallace, Ani Nenkova:
Self-Repetition in Abstractive Neural Summarizers. CoRR abs/2210.08145 (2022) - [i46]Zhaoyue Sun, Jiazheng Li, Gabriele Pergola, Byron C. Wallace, Bino John, Nigel Greene, Joseph Kim, Yulan He:
PHEE: A Dataset for Pharmacovigilance Event Extraction from Text. CoRR abs/2210.12560 (2022) - [i45]Sarthak Jain, Varun Manjunatha, Byron C. Wallace, Ani Nenkova:
Influence Functions for Sequence Tagging Models. CoRR abs/2210.14177 (2022) - [i44]Diego García-Olano, Yasumasa Onoe, Joydeep Ghosh, Byron C. Wallace:
Intermediate Entity-based Sparse Interpretable Representation Learning. CoRR abs/2212.01641 (2022) - 2021
- [j18]Oshin Agarwal, Yinfei Yang, Byron C. Wallace, Ani Nenkova:
Interpretability Analysis for Named Entity Recognition to Understand System Predictions and How They Can Improve. Comput. Linguistics 47(1): 117-140 (2021) - [c77]Diego García-Olano, Yasumasa Onoe, Ioana Baldini, Joydeep Ghosh, Byron C. Wallace, Kush R. Varshney:
Biomedical Interpretable Entity Representations. ACL/IJCNLP (Findings) 2021: 3547-3561 - [c76]Dezon K. Finch, Lina Bouayad, Timothy P. Hogan, Sarah L. Cutrona, Byron C. Wallace, Stephen L. Luther, Bridget Smith, Stephanie L. Shimada:
Identifying Communication Behavior Indicators in Secure Messages. AMIA 2021 - [c75]Bryan D. Steitz, Emily Alsentzer, Hoo Chang Shin, Byron C. Wallace, Adam Wright:
Applying State of the Art Language Models to Enable Better Clinical Natural Language Processing. AMIA 2021 - [c74]Xiongyi Zhang, Jan-Willem van de Meent, Byron C. Wallace:
Disentangling Representations of Text by Masking Transformers. EMNLP (1) 2021: 778-791 - [c73]David Lowell, Brian E. Howard, Zachary C. Lipton, Byron C. Wallace:
Unsupervised Data Augmentation with Naive Augmentation and without Unlabeled Data. EMNLP (1) 2021: 4992-5001 - [c72]Eric Lehman, Sarthak Jain, Karl Pichotta, Yoav Goldberg, Byron C. Wallace:
Does BERT Pretrained on Clinical Notes Reveal Sensitive Data? NAACL-HLT 2021: 946-959 - [c71]Pouya Pezeshkpour, Sarthak Jain, Byron C. Wallace, Sameer Singh:
An Empirical Comparison of Instance Attribution Methods for NLP. NAACL-HLT 2021: 967-975 - [c70]Silvio Amir, Jan-Willem van de Meent, Byron C. Wallace:
On the Impact of Random Seeds on the Fairness of Clinical Classifiers. NAACL-HLT 2021: 3808-3823 - [c69]Ashwin Devaraj, Iain James Marshall, Byron C. Wallace, Junyi Jessy Li:
Paragraph-level Simplification of Medical Texts. NAACL-HLT 2021: 4972-4984 - [i43]Pouya Pezeshkpour, Sarthak Jain, Byron C. Wallace, Sameer Singh:
An Empirical Comparison of Instance Attribution Methods for NLP. CoRR abs/2104.04128 (2021) - [i42]Ashwin Devaraj, Iain James Marshall, Byron C. Wallace, Junyi Jessy Li:
Paragraph-level Simplification of Medical Texts. CoRR abs/2104.05767 (2021) - [i41]Silvio Amir, Jan-Willem van de Meent, Byron C. Wallace:
On the Impact of Random Seeds on the Fairness of Clinical Classifiers. CoRR abs/2104.06338 (2021) - [i40]Xiongyi Zhang, Jan-Willem van de Meent, Byron C. Wallace:
Disentangling Representations of Text by Masking Transformers. CoRR abs/2104.07155 (2021) - [i39]Eric Lehman, Sarthak Jain, Karl Pichotta, Yoav Goldberg, Byron C. Wallace:
Does BERT Pretrained on Clinical Notes Reveal Sensitive Data? CoRR abs/2104.07762 (2021) - [i38]Diego García-Olano, Yasumasa Onoe, Ioana Baldini, Joydeep Ghosh, Byron C. Wallace, Kush R. Varshney:
Biomedical Interpretable Entity Representations. CoRR abs/2106.09502 (2021) - [i37]Pouya Pezeshkpour, Sarthak Jain, Sameer Singh, Byron C. Wallace:
Combining Feature and Instance Attribution to Detect Artifacts. CoRR abs/2107.00323 (2021) - [i36]Gregory Kell, Iain James Marshall, Byron C. Wallace, André Jaun:
What Would it Take to get Biomedical QA Systems into Practice? CoRR abs/2109.10415 (2021) - [i35]Denis Jered McInerney, Luyang Kong, Kristjan Arumae, Byron C. Wallace, Parminder Bhatia:
Kronecker Factorization for Preventing Catastrophic Forgetting in Large-scale Medical Entity Linking. CoRR abs/2111.06012 (2021) - 2020
- [j17]Iain James Marshall, Benjamin E. Nye, Joël Kuiper, Anna Noel-Storr, Rachel Marshall, Rory Maclean, Frank Soboczenski, Ani Nenkova, James Thomas, Byron C. Wallace:
Trialstreamer: A living, automatically updated database of clinical trial reports. J. Am. Medical Informatics Assoc. 27(12): 1903-1912 (2020) - [c68]Benjamin E. Nye, Ani Nenkova, Iain James Marshall, Byron C. Wallace:
Trialstreamer: Mapping and Browsing Medical Evidence in Real-Time. ACL (demo) 2020: 63-69 - [c67]Jay DeYoung, Sarthak Jain, Nazneen Fatema Rajani, Eric Lehman, Caiming Xiong, Richard Socher, Byron C. Wallace:
ERASER: A Benchmark to Evaluate Rationalized NLP Models. ACL 2020: 4443-4458 - [c66]Sarthak Jain, Sarah Wiegreffe, Yuval Pinter, Byron C. Wallace:
Learning to Faithfully Rationalize by Construction. ACL 2020: 4459-4473 - [c65]Xiaochuang Han, Byron C. Wallace, Yulia Tsvetkov:
Explaining Black Box Predictions and Unveiling Data Artifacts through Influence Functions. ACL 2020: 5553-5563 - [c64]Somin Wadhwa, Kanhua Yin, Kevin S. Hughes, Byron C. Wallace:
Semi-Automating Knowledge Base Construction for Cancer Genetics. AKBC 2020 - [c63]Stefan Olafsson, Byron C. Wallace, Timothy W. Bickmore:
Towards a Computational Framework for Automating Substance Use Counseling with Virtual Agents. AAMAS 2020: 966-974 - [c62]Jay DeYoung, Eric Lehman, Benjamin E. Nye, Iain James Marshall, Byron C. Wallace:
Evidence Inference 2.0: More Data, Better Models. BioNLP 2020: 123-132 - [c61]Eric Wonhee Lee, Byron C. Wallace, Karla I. Galaviz, Joyce C. Ho:
MMiDaS-AE: multi-modal missing data aware stacked autoencoder for biomedical abstract screening. CHIL 2020: 139-150 - [c60]Denis Jered McInerney, Borna Dabiri, Anne-Sophie Touret, Geoffrey Young, Jan-Willem van de Meent, Byron C. Wallace:
Query-Focused EHR Summarization to Aid Imaging Diagnosis. MLHC 2020: 632-659 - [e8]Karin Verspoor, Kevin Bretonnel Cohen, Michael Conway, Berry de Bruijn, Mark Dredze, Rada Mihalcea, Byron C. Wallace:
Proceedings of the 1st Workshop on NLP for COVID-19@ EMNLP 2020, Online, December 2020. Association for Computational Linguistics 2020 [contents] - [e7]Finale Doshi-Velez, Jim Fackler, Ken Jung, David C. Kale, Rajesh Ranganath, Byron C. Wallace, Jenna Wiens:
Proceedings of the Machine Learning for Healthcare Conference, MLHC 2020, 7-8 August 2020, Virtual Event, Durham, NC, USA. Proceedings of Machine Learning Research 126, PMLR 2020 [contents] - [i34]Oshin Agarwal, Yinfei Yang, Byron C. Wallace, Ani Nenkova:
Entity-Switched Datasets: An Approach to Auditing the In-Domain Robustness of Named Entity Recognition Models. CoRR abs/2004.04123 (2020) - [i33]Oshin Agarwal, Yinfei Yang, Byron C. Wallace, Ani Nenkova:
Interpretability Analysis for Named Entity Recognition to Understand System Predictions and How They Can Improve. CoRR abs/2004.04564 (2020) - [i32]Denis Jered McInerney, Borna Dabiri, Anne-Sophie Touret, Geoffrey Young, Jan-Willem van de Meent, Byron C. Wallace:
Query-Focused EHR Summarization to Aid Imaging Diagnosis. CoRR abs/2004.04645 (2020) - [i31]Sarthak Jain, Sarah Wiegreffe, Yuval Pinter, Byron C. Wallace:
Learning to Faithfully Rationalize by Construction. CoRR abs/2005.00115 (2020) - [i30]Jay DeYoung, Eric Lehman, Benjamin E. Nye, Iain James Marshall, Byron C. Wallace:
Evidence Inference 2.0: More Data, Better Models. CoRR abs/2005.04177 (2020) - [i29]Xiaochuang Han, Byron C. Wallace, Yulia Tsvetkov:
Explaining Black Box Predictions and Unveiling Data Artifacts through Influence Functions. CoRR abs/2005.06676 (2020) - [i28]Somin Wadhwa, Kanhua Yin, Kevin S. Hughes, Byron C. Wallace:
Semi-Automating Knowledge Base Construction for Cancer Genetics. CoRR abs/2005.08146 (2020) - [i27]Benjamin E. Nye, Ani Nenkova, Iain James Marshall, Byron C. Wallace:
Trialstreamer: Mapping and Browsing Medical Evidence in Real-Time. CoRR abs/2005.10865 (2020) - [i26]Byron C. Wallace, Sayantan Saha, Frank Soboczenski, Iain James Marshall:
Generating (Factual?) Narrative Summaries of RCTs: Experiments with Neural Multi-Document Summarization. CoRR abs/2008.11293 (2020) - [i25]Benjamin E. Nye, Jay DeYoung, Eric Lehman, Ani Nenkova, Iain James Marshall, Byron C. Wallace:
Understanding Clinical Trial Reports: Extracting Medical Entities and Their Relations. CoRR abs/2010.03550 (2020) - [i24]David Lowell, Brian E. Howard, Zachary C. Lipton, Byron C. Wallace:
Unsupervised Data Augmentation with Naive Augmentation and without Unlabeled Data. CoRR abs/2010.11966 (2020)
2010 – 2019
- 2019
- [j16]Frank Soboczenski, Thomas A. Trikalinos, Joël Kuiper, Randolph G. Bias, Byron C. Wallace, Iain James Marshall:
Machine learning to help researchers evaluate biases in clinical trials: a prospective, randomized user study. BMC Medical Informatics Decis. Mak. 19(1): 96:1-96:12 (2019) - [c59]Babak Esmaeili, Hongyi Huang, Byron C. Wallace, Jan-Willem van de Meent:
Structured Neural Topic Models for Reviews. AISTATS 2019: 3429-3439 - [c58]David Lowell, Zachary C. Lipton, Byron C. Wallace:
Practical Obstacles to Deploying Active Learning. EMNLP/IJCNLP (1) 2019: 21-30 - [c57]Byron C. Wallace:
What Does the Evidence Say? Models to Help Make Sense of the Biomedical Literature. IJCAI 2019: 6416-6420 - [c56]An T. Nguyen, Matthew Lease, Byron C. Wallace:
Explainable modeling of annotations in crowdsourcing. IUI 2019: 575-579 - [c55]An Thanh Nguyen, Matt Lease, Byron C. Wallace:
Mash: software tools for developing interactive and transparent machine learning systems. IUI Workshops 2019 - [c54]Avijit Thawani, Michael J. Paul, Urmimala Sarkar, Byron C. Wallace:
Are Online Reviews of Physicians Biased Against Female Providers? MLHC 2019: 406-423 - [c53]Yinfei Yang, Oshin Agarwal, Chris Tar, Byron C. Wallace, Ani Nenkova:
Predicting Annotation Difficulty to Improve Task Routing and Model Performance for Biomedical Information Extraction. NAACL-HLT (1) 2019: 1471-1480 - [c52]Sarthak Jain, Byron C. Wallace:
Attention is not Explanation. NAACL-HLT (1) 2019: 3543-3556 - [c51]Eric Lehman, Jay DeYoung, Regina Barzilay, Byron C. Wallace:
Inferring Which Medical Treatments Work from Reports of Clinical Trials. NAACL-HLT (1) 2019: 3705-3717 - [e6]Finale Doshi-Velez, Jim Fackler, Ken Jung, David C. Kale, Rajesh Ranganath, Byron C. Wallace, Jenna Wiens:
Proceedings of the Machine Learning for Healthcare Conference, MLHC 2019, 9-10 August 2019, Ann Arbor, Michigan, USA. Proceedings of Machine Learning Research 106, PMLR 2019 [contents] - [i23]Sarthak Jain, Byron C. Wallace:
Attention is not Explanation. CoRR abs/1902.10186 (2019) - [i22]Eric Lehman, Jay DeYoung, Regina Barzilay, Byron C. Wallace:
Inferring Which Medical Treatments Work from Reports of Clinical Trials. CoRR abs/1904.01606 (2019) - [i21]Sarthak Jain, Ramin Mohammadi, Byron C. Wallace:
An Analysis of Attention over Clinical Notes for Predictive Tasks. CoRR abs/1904.03244 (2019) - [i20]Yinfei Yang, Oshin Agarwal, Chris Tar, Byron C. Wallace, Ani Nenkova:
Predicting Annotation Difficulty to Improve Task Routing and Model Performance for Biomedical Information Extraction. CoRR abs/1905.07791 (2019) - [i19]Ramin Mohammadi, Sarthak Jain, Stephen Agboola, Ramya Palacholla, Sagar V. Kamarthi, Byron C. Wallace:
Learning to Identify Patients at Risk of Uncontrolled Hypertension Using Electronic Health Records Data. CoRR abs/1907.00089 (2019) - [i18]Jay DeYoung, Sarthak Jain, Nazneen Fatema Rajani, Eric Lehman, Caiming Xiong, Richard Socher, Byron C. Wallace:
ERASER: A Benchmark to Evaluate Rationalized NLP Models. CoRR abs/1911.03429 (2019) - 2018
- [j15]Kezban Dilek Onal, Ye Zhang, Ismail Sengor Altingovde, Md. Mustafizur Rahman, Pinar Karagoz, Alex Braylan, Brandon Dang, Heng-Lu Chang, Henna Kim, Quinten McNamara, Aaron Angert, Edward Banner, Vivek Khetan, Tyler McDonnell, An Thanh Nguyen, Dan Xu, Byron C. Wallace, Maarten de Rijke, Matthew Lease:
Neural information retrieval: at the end of the early years. Inf. Retr. J. 21(2-3): 111-182 (2018) - [c50]An T. Nguyen, Aditya Kharosekar, Matthew Lease, Byron C. Wallace:
An Interpretable Joint Graphical Model for Fact-Checking From Crowds. AAAI 2018: 1511-1518 - [c49]Benjamin E. Nye, Junyi Jessy Li, Roma Patel, Yinfei Yang, Iain James Marshall, Ani Nenkova, Byron C. Wallace:
A Corpus with Multi-Level Annotations of Patients, Interventions and Outcomes to Support Language Processing for Medical Literature. ACL (1) 2018: 197-207 - [c48]Gaurav Singh, James Thomas, Iain James Marshall, John Shawe-Taylor, Byron C. Wallace:
Structured Multi-Label Biomedical Text Tagging via Attentive Neural Tree Decoding. EMNLP 2018: 2837-2842 - [c47]Sarthak Jain, Edward Banner, Jan-Willem van de Meent, Iain James Marshall, Byron C. Wallace:
Learning Disentangled Representations of Texts with Application to Biomedical Abstracts. EMNLP 2018: 4683-4693 - [c46]Roma Patel, Yinfei Yang, Iain James Marshall, Ani Nenkova, Byron C. Wallace:
Syntactic Patterns Improve Information Extraction for Medical Search. NAACL-HLT (2) 2018: 371-377 - [c45]Byron C. Wallace:
Automating Biomedical Evidence Synthesis: Recent Work and Directions Forward. BIRNDL@SIGIR 2018: 6-9 - [c44]An T. Nguyen, Aditya Kharosekar, Saumyaa Krishnan, Siddhesh Krishnan, Elizabeth Tate, Byron C. Wallace, Matthew Lease:
Believe it or not: Designing a Human-AI Partnership for Mixed-Initiative Fact-Checking. UIST 2018: 189-199 - [e5]Finale Doshi-Velez, Jim Fackler, Ken Jung, David C. Kale, Rajesh Ranganath, Byron C. Wallace, Jenna Wiens:
Proceedings of the Machine Learning for Healthcare Conference, MLHC 2018, 17-18 August 2018, Palo Alto, California. Proceedings of Machine Learning Research 85, PMLR 2018 [contents] - [i17]Sarthak Jain, Edward Banner, Jan-Willem van de Meent, Iain James Marshall, Byron C. Wallace:
Learning Disentangled Representations of Texts with Application to Biomedical Abstracts. CoRR abs/1804.07212 (2018) - [i16]Roma Patel, Yinfei Yang, Iain James Marshall, Ani Nenkova, Byron C. Wallace:
Syntactic Patterns Improve Information Extraction for Medical Search. CoRR abs/1805.00097 (2018) - [i15]Benjamin E. Nye, Junyi Jessy Li, Roma Patel, Yinfei Yang, Iain James Marshall, Ani Nenkova, Byron C. Wallace:
A Corpus with Multi-Level Annotations of Patients, Interventions and Outcomes to Support Language Processing for Medical Literature. CoRR abs/1806.04185 (2018) - [i14]David Lowell, Zachary C. Lipton, Byron C. Wallace:
How transferable are the datasets collected by active learners? CoRR abs/1807.04801 (2018) - [i13]Gaurav Singh, James Thomas, Iain James Marshall, John Shawe-Taylor, Byron C. Wallace:
Structured Multi-Label Biomedical Text Tagging via Attentive Neural Tree Decoding. CoRR abs/1810.01468 (2018) - [i12]Babak Esmaeili, Hongyi Huang, Byron C. Wallace, Jan-Willem van de Meent:
Structured Representations for Reviews: Aspect-Based Variational Hidden Factor Models. CoRR abs/1812.05035 (2018) - 2017
- [j14]Monica Anderson, Roman Barták, John S. Brownstein, David L. Buckeridge, Hoda Eldardiry, Christopher W. Geib, Maria L. Gini, Aaron Isaksen, Sarah Keren, Robert Laddaga, Viliam Lisý, Rodney Martin, David R. Martinez, Martin Michalowski, Loizos Michael, Reuth Mirsky, Thanh Hai Nguyen, Michael J. Paul, Enrico Pontelli, Scott Sanner, Arash Shaban-Nejad, Arunesh Sinha, Shirin Sohrabi, Kumar Sricharan, Biplav Srivastava, Mark Stefik, William W. Streilein, Nathan R. Sturtevant, Kartik Talamadupula, Michael Thielscher, Julian Togelius, Tran Cao Son, Long Tran-Thanh, Neal Wagner, Byron C. Wallace, Szymon Wilk, Jichen Zhu:
Reports of the Workshops of the Thirty-First AAAI Conference on Artificial Intelligence. AI Mag. 38(3): 72-82 (2017) - [j13]Byron C. Wallace, Anna Noel-Storr, Iain James Marshall, Aaron M. Cohen, Neil R. Smalheiser, James Thomas:
Identifying reports of randomized controlled trials (RCTs) via a hybrid machine learning and crowdsourcing approach. J. Am. Medical Informatics Assoc. 24(6): 1165-1168 (2017) - [c43]Ye Zhang, Matthew Lease, Byron C. Wallace:
Active Discriminative Text Representation Learning. AAAI 2017: 3386-3392 - [c42]Iain James Marshall, Joël Kuiper, Edward Banner, Byron C. Wallace:
Automating Biomedical Evidence Synthesis: RobotReviewer. ACL (System Demonstrations) 2017: 7-12 - [c41]Ye Zhang, Matthew Lease, Byron C. Wallace:
Exploiting Domain Knowledge via Grouped Weight Sharing with Application to Text Categorization. ACL (2) 2017: 155-160 - [c40]An Thanh Nguyen, Byron C. Wallace, Junyi Jessy Li, Ani Nenkova, Matthew Lease:
Aggregating and Predicting Sequence Labels from Crowd Annotations. ACL (1) 2017: 299-309 - [c39]Sarthak Jain, Xun Peng, Byron C. Wallace:
Detecting Twitter posts with Adverse Drug Reactions using Convolutional Neural Networks. SMM4H@AMIA 2017: 72-75 - [c38]Gaurav Singh, Iain James Marshall, James Thomas, John Shawe-Taylor, Byron C. Wallace:
A Neural Candidate-Selector Architecture for Automatic Structured Clinical Text Annotation. CIKM 2017: 1519-1528 - [c37]Gaurav Singh, Iain James Marshall, James Thomas, Byron C. Wallace:
Identifying Diagnostic Test Accuracy Publications using a Deep Model. CLEF (Working Notes) 2017 - [c36]Jette Henderson, Ryan Bridges, Joyce C. Ho, Byron C. Wallace, Joydeep Ghosh:
PheKnow-Cloud: A Tool for Evaluating High-Throughput Phenotype Candidates using Online Medical Literature. CRI 2017 - [c35]Ye Zhang, Byron C. Wallace:
A Sensitivity Analysis of (and Practitioners' Guide to) Convolutional Neural Networks for Sentence Classification. IJCNLP(1) 2017: 253-263 - [c34]Zhiguo Yu, Byron C. Wallace, Todd R. Johnson, Trevor Cohen:
Retrofitting Concept Vector Representations of Medical Concepts to Improve Estimates of Semantic Similarity and Relatedness. MedInfo 2017: 657-661 - [c33]Silvio Amir, Glen Coppersmith, Paula Carvalho, Mário J. Silva, Byron C. Wallace:
Quantifying Mental Health from Social Media with Neural User Embeddings. MLHC 2017: 306-321 - [e4]