← Authors

Byron C. Wallace

30 papers · 2013–2024 · 9 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (9) πŸƒ Academic Marathon (11) 🐝 Cross-Pollinator (5) 🌈 Renaissance Researcher (7) πŸ—ΊοΈ Taxonomy Completionist (35) 🧬 Topic Evolution πŸ† Keyword Champion (2) πŸ—ƒοΈ Keyword Collector (99) πŸ“ˆ Trend Setter πŸ’Ž Century Club (30) ❓ The Questioner (3) πŸ”₯ Unstoppable (8) ⚑ Prolific Year (8)

Conferences

ACL (11) EMNLP (5) NAACL (5) MLHC (3) IJCNLP (2) CONLL (1) EACL (1) IJCAI (1) JMLR (1)

Top co-authors

Sarthak Jain (6) Jay DeYoung (5) Iain Marshall (5) Eugene Charniak (4) Silvio Amir (3) Do Kook Choe (3) Benjamin Nye (3) Ye Zhang (3) Eric Lehman (3) Edward Banner (2)

Keywords

text classification (5) evidence extraction (3) active learning (3) attention mechanism (3) clinical text (3) information extraction (2) natural language inference (2) systematic review (2) model explanation (2) randomized controlled trial (2) uncertainty sampling (2) model uncertainty (2) influence function (2) representation learning (2) distant supervision (2) feature importance (2) clinical text mining (2) text mining (2) rationale extraction (2) biomedical literature (2)

Papers

Open (Clinical) LLMs are Sensitive to Instruction Phrasings ACL 2024
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
Automated Metrics for Medical Multi-Document Summarization Disagree with Human Evaluations ACL 2023
Query-Focused EHR Summarization to Aid Imaging Diagnosis MLHC 2020
Learning to Faithfully Rationalize by Construction ACL 2020
Explaining Black Box Predictions and Unveiling Data Artifacts through Influence Functions ACL 2020
Trialstreamer: Mapping and Browsing Medical Evidence in Real-Time ACL 2020
Evidence Inference 2.0: More Data, Better Models ACL 2020
ERASER: A Benchmark to Evaluate Rationalized NLP Models ACL 2020
Practical Obstacles to Deploying Active Learning EMNLP 2019
Practical Obstacles to Deploying Active Learning IJCNLP 2019
Inferring Which Medical Treatments Work from Reports of Clinical Trials NAACL 2019
Attention is not Explanation NAACL 2019
Predicting Annotation Difficulty to Improve Task Routing and Model Performance for Biomedical Information Extraction NAACL 2019
Are Online Reviews of Physicians Biased Against Female Providers? MLHC 2019
An Analysis of Attention over Clinical Notes for Predictive Tasks NAACL 2019
What Does the Evidence Say? Models to Help Make Sense of the Biomedical Literature IJCAI 2019
Structured Multi-Label Biomedical Text Tagging via Attentive Neural Tree Decoding EMNLP 2018
Learning Disentangled Representations of Texts with Application to Biomedical Abstracts EMNLP 2018
Exploiting Domain Knowledge via Grouped Weight Sharing with Application to Text Categorization ACL 2017
Automating Biomedical Evidence Synthesis: RobotReviewer ACL 2017
Modelling Context with User Embeddings for Sarcasm Detection in Social Media CONLL 2016
Extracting PICO Sentences from Clinical Trial Reports using Supervised Distant Supervision JMLR 2016
Rationale-Augmented Convolutional Neural Networks for Text Classification EMNLP 2016
MGNC-CNN: A Simple Approach to Exploiting Multiple Word Embeddings for Sentence Classification NAACL 2016
Sparse, Contextually Informed Models for Irony Detection: Exploiting User Communities, Entities and Sentiment ACL 2015
Sparse, Contextually Informed Models for Irony Detection: Exploiting User Communities, Entities and Sentiment IJCNLP 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