Byron C. Wallace
Orcid: 0000-0003-2409-7735Affiliations:
- Northeastern University, Boston, MA, USA
According to our database1,
Byron C. Wallace
authored at least 148 papers
between 2010 and 2024.
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Bibliography
2024
Leveraging generative AI for clinical evidence synthesis needs to ensure trustworthiness.
J. Biomed. Informatics, 2024
Question answering systems for health professionals at the point of care - a systematic review.
J. Am. Medical Informatics Assoc., 2024
Automatically Extracting Numerical Results from Randomized Controlled Trials with Large Language Models.
CoRR, 2024
Standardizing the Measurement of Text Diversity: A Tool and a Comparative Analysis of Scores.
CoRR, 2024
FactPICO: Factuality Evaluation for Plain Language Summarization of Medical Evidence.
CoRR, 2024
CoRR, 2024
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024
2023
Leveraging Generative AI for Clinical Evidence Summarization Needs to Achieve Trustworthiness.
CoRR, 2023
SemEval-2023 Task 8: Causal Medical Claim Identification and Related PIO Frame Extraction from Social Media Posts.
Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023
Proceedings of the Machine Learning for Healthcare Conference, 2023
Accomodating User Expressivity while Maintaining Safety for a Virtual Alcohol Misuse Counselor.
Proceedings of the 23rd ACM International Conference on Intelligent Virtual Agents, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
CHiLL: Zero-shot Custom Interpretable Feature Extraction from Clinical Notes with Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023
RedHOT: A Corpus of Annotated Medical Questions, Experiences, and Claims on Social Media.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023
Automatically Summarizing Evidence from Clinical Trials: A Prototype Highlighting Current Challenges.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics. EACL 2023, 2023
NapSS: Paragraph-level Medical Text Simplification via Narrative Prompting and Sentence-matching Summarization.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023
Proceedings of the 27th Conference on Computational Natural Language Learning, 2023
Automated Metrics for Medical Multi-Document Summarization Disagree with Human Evaluations.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Summarizing, Simplifying, and Synthesizing Medical Evidence using GPT-3 (with Varying Success).
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023
2022
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
That's the Wrong Lung! Evaluating and Improving the Interpretability of Unsupervised Multimodal Encoders for Medical Data.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Overview of MSLR2022: A Shared Task on Multi-document Summarization for Literature Reviews.
Proceedings of the Third Workshop on Scholarly Document Processing, 2022
Proceedings of the Fifth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2022
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
2021
Kronecker Factorization for Preventing Catastrophic Forgetting in Large-scale Medical Entity Linking.
CoRR, 2021
Interpretability Analysis for Named Entity Recognition to Understand System Predictions and How They Can Improve.
Comput. Linguistics, 2021
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Applying State of the Art Language Models to Enable Better Clinical Natural Language Processing.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021
2020
J. Am. Medical Informatics Assoc., 2020
Understanding Clinical Trial Reports: Extracting Medical Entities and Their Relations.
CoRR, 2020
Generating (Factual?) Narrative Summaries of RCTs: Experiments with Neural Multi-Document Summarization.
CoRR, 2020
Entity-Switched Datasets: An Approach to Auditing the In-Domain Robustness of Named Entity Recognition Models.
CoRR, 2020
Proceedings of the Machine Learning for Healthcare Conference, 2020
MMiDaS-AE: multi-modal missing data aware stacked autoencoder for biomedical abstract screening.
Proceedings of the ACM CHIL '20: ACM Conference on Health, 2020
Proceedings of the 19th SIGBioMed Workshop on Biomedical Language Processing, 2020
Towards a Computational Framework for Automating Substance Use Counseling with Virtual Agents.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020
Proceedings of the Conference on Automated Knowledge Base Construction, 2020
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2020
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
Explaining Black Box Predictions and Unveiling Data Artifacts through Influence Functions.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
2019
Machine learning to help researchers evaluate biases in clinical trials: a prospective, randomized user study.
BMC Medical Informatics Decis. Mak., 2019
Learning to Identify Patients at Risk of Uncontrolled Hypertension Using Electronic Health Records Data.
CoRR, 2019
Predicting Annotation Difficulty to Improve Task Routing and Model Performance for Biomedical Information Extraction.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019
Proceedings of the Machine Learning for Healthcare Conference, 2019
Mash: software tools for developing interactive and transparent machine learning systems.
Proceedings of the Joint Proceedings of the ACM IUI 2019 Workshops co-located with the 24th ACM Conference on Intelligent User Interfaces (ACM IUI 2019), 2019
Proceedings of the 24th International Conference on Intelligent User Interfaces, 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019
2018
Structured Representations for Reviews: Aspect-Based Variational Hidden Factor Models.
CoRR, 2018
Believe it or not: Designing a Human-AI Partnership for Mixed-Initiative Fact-Checking.
Proceedings of the 31st Annual ACM Symposium on User Interface Software and Technology, 2018
Proceedings of the 3rd Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2018) co-located with the 41st International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2018), 2018
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
Learning Disentangled Representations of Texts with Application to Biomedical Abstracts.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
A Corpus with Multi-Level Annotations of Patients, Interventions and Outcomes to Support Language Processing for Medical Literature.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
Identifying reports of randomized controlled trials (RCTs) via a hybrid machine learning and crowdsourcing approach.
J. Am. Medical Informatics Assoc., 2017
Reports of the Workshops of the Thirty-First AAAI Conference on Artificial Intelligence.
AI Mag., 2017
Proceedings of the Machine Learning for Health Care Conference, 2017
Retrofitting Concept Vector Representations of Medical Concepts to Improve Estimates of Semantic Similarity and Relatedness.
Proceedings of the MEDINFO 2017: Precision Healthcare through Informatics, 2017
A Sensitivity Analysis of (and Practitioners' Guide to) Convolutional Neural Networks for Sentence Classification.
Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017
PheKnow-Cloud: A Tool for Evaluating High-Throughput Phenotype Candidates using Online Medical Literature.
Proceedings of the Summit on Clinical Research Informatics, 2017
Proceedings of the Working Notes of CLEF 2017, 2017
A Neural Candidate-Selector Architecture for Automatic Structured Clinical Text Annotation.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017
Detecting Twitter posts with Adverse Drug Reactions using Convolutional Neural Networks.
Proceedings of the 2nd Social Media Mining for Health Research and Applications Workshop co-located with the American Medical Informatics Association Annual Symposium (AMIA 2017), 2017
Exploiting Domain Knowledge via Grouped Weight Sharing with Application to Text Categorization.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
2016
Mach. Learn., 2016
Extracting PICO Sentences from Clinical Trial Reports using Supervised Distant Supervision.
J. Mach. Learn. Res., 2016
J. Biomed. Informatics, 2016
RobotReviewer: evaluation of a system for automatically assessing bias in clinical trials.
J. Am. Medical Informatics Assoc., 2016
Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016
MGNC-CNN: A Simple Approach to Exploiting Multiple Word Embeddings for Sentence Classification.
Proceedings of the NAACL HLT 2016, 2016
Using Electronic Medical Records and Physician Data to Improve Information Retrieval for Evidence-Based Care.
Proceedings of the 2016 IEEE International Conference on Healthcare Informatics, 2016
Proceedings of the Fourth AAAI Conference on Human Computation and Crowdsourcing, 2016
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016
Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning, 2016
Proceedings of the 7th ACM International Conference on Bioinformatics, 2016
Proceedings of the Seventh International Workshop on Health Text Mining and Information Analysis, 2016
Proceedings of the Seventh International Workshop on Health Text Mining and Information Analysis, 2016
2015
IEEE J. Biomed. Health Informatics, 2015
Proceedings of the 2015 International Conference on Healthcare Informatics, 2015
Proceedings of the Third AAAI Conference on Human Computation and Crowdsourcing, 2015
Proceedings of the AMIA 2015, 2015
Sparse, Contextually Informed Models for Irony Detection: Exploiting User Communities, Entities and Sentiment.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015
Proceedings of the World Wide Web and Public Health Intelligence, 2015
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
2014
A large-scale quantitative analysis of latent factors and sentiment in online doctor reviews.
J. Am. Medical Informatics Assoc., 2014
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014
Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014
Identifying Differences in Physician Communication Styles with a Log-Linear Transition Component Model.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014
Proceedings of the Modern Artificial Intelligence for Health Analytics, 2014
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014
Proceedings of the Modern Artificial Intelligence for Health Analytics, 2014
2013
A Generative Joint, Additive, Sequential Model of Topics and Speech Acts in Patient-Doctor Communication.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013
2012
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2012
Deploying an interactive machine learning system in an evidence-based practice center: abstrackr.
Proceedings of the ACM International Health Informatics Symposium, 2012
Class Probability Estimates are Unreliable for Imbalanced Data (and How to Fix Them).
Proceedings of the 12th IEEE International Conference on Data Mining, 2012
2011
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011
Proceedings of the 28th International Conference on Machine Learning, 2011
Proceedings of the 11th IEEE International Conference on Data Mining, 2011
2010
BMC Bioinform., 2010
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010
Proceedings of the ACM International Health Informatics Symposium, 2010