Byron C. Wallace
28 papers · 2013–2024 · 8 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (32) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Keyword Pioneer
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Topic Evolution
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(3)
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Trend Setter
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Century Club Β· Bronze
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Prolific Year Β· Productive
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The Questioner
(3)
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Renaissance Researcher
(5)
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Keyword Collector
(99)
Top co-authors
Research topics
Machine Learning
(13)
Natural Language Processing
(13)
Artificial Intelligence
(10)
Applications
(10)
Core AI
(10)
Core Methods
(6)
Learning Types
(6)
Deep Learning
(5)
Optimization & Theory
(4)
Healthcare & Medicine
(3)
Clinical
(3)
Resources & Methods
(3)
Application Areas
(2)
Architectures
(2)
Techniques
(2)
Keywords
text classification
(5)
clinical text
(3)
evidence extraction
(3)
attention mechanism
(3)
natural language inference
(2)
biomedical literature
(2)
clinical evidence
(2)
distant supervision
(2)
systematic review
(2)
model explanation
(2)
representation learning
(2)
influence function
(2)
information extraction
(2)
active learning
(2)
randomized controlled trial
(2)
feature importance
(2)
clinical text mining
(2)
text mining
(2)
rationale extraction
(2)
large language model
(2)
Papers
Open (Clinical) LLMs are Sensitive to Instruction Phrasings
ACL 2024
Automated Metrics for Medical Multi-Document Summarization Disagree with Human Evaluations
ACL 2023
How Many and Which Training Points Would Need to be Removed to Flip this Prediction?
EACL 2023
Jointly Extracting Interventions, Outcomes, and Findings from RCT Reports with LLMs
MLHC 2023
ERASER: A Benchmark to Evaluate Rationalized NLP Models
ACL 2020
Evidence Inference 2.0: More Data, Better Models
ACL 2020
Explaining Black Box Predictions and Unveiling Data Artifacts through Influence Functions
ACL 2020
Learning to Faithfully Rationalize by Construction
ACL 2020
Query-Focused EHR Summarization to Aid Imaging Diagnosis
MLHC 2020
Trialstreamer: Mapping and Browsing Medical Evidence in Real-Time
ACL 2020
An Analysis of Attention over Clinical Notes for Predictive Tasks
NAACL 2019
Are Online Reviews of Physicians Biased Against Female Providers?
MLHC 2019
Attention is not Explanation
NAACL 2019
Inferring Which Medical Treatments Work from Reports of Clinical Trials
NAACL 2019
Practical Obstacles to Deploying Active Learning
EMNLP 2019
Predicting Annotation Difficulty to Improve Task Routing and Model Performance for Biomedical Information Extraction
NAACL 2019
What Does the Evidence Say? Models to Help Make Sense of the Biomedical Literature
IJCAI 2019
Learning Disentangled Representations of Texts with Application to Biomedical Abstracts
EMNLP 2018
Structured Multi-Label Biomedical Text Tagging via Attentive Neural Tree Decoding
EMNLP 2018
Automating Biomedical Evidence Synthesis: RobotReviewer
ACL 2017
Exploiting Domain Knowledge via Grouped Weight Sharing with Application to Text Categorization
ACL 2017
Extracting PICO Sentences from Clinical Trial Reports using Supervised Distant Supervision
JMLR 2016
MGNC-CNN: A Simple Approach to Exploiting Multiple Word Embeddings for Sentence Classification
NAACL 2016
Modelling Context with User Embeddings for Sarcasm Detection in Social Media
CoNLL 2016
Rationale-Augmented Convolutional Neural Networks for Text Classification
EMNLP 2016
Sparse, Contextually Informed Models for Irony Detection: Exploiting User Communities, Entities and Sentiment
ACL 2015
Humans Require Context to Infer Ironic Intent (so Computers Probably do, too)
ACL 2014
A Generative Joint, Additive, Sequential Model of Topics and Speech Acts in Patient-Doctor Communication
EMNLP 2013