Byron Wallace

46 papers · 2012–2024 · 10 conferences · across top CS/AI conferences

Achievements

🌈 Renaissance Researcher (7) 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🗺️ Taxonomy Completionist (69) 🌍 Conference Polyglot (10) 🏃 Academic Marathon (12) 🐝 Cross-Pollinator (4) 🌱 Topic Pioneer 🔬 Deep Specialist (11) 🧬 Topic Evolution 🏆 Keyword Champion (3) 💎 Century Club (46) ❓ The Questioner (3) ⚡ Prolific Year (13) 🗃️ Keyword Collector (181)

Conferences

EMNLP (12) NAACL (11) ACL (10) EACL (5) IJCNLP (3) AACL (1) AISTATS (1) COLING (1) CONLL (1) SEMEVAL (1)

Top co-authors

Ani Nenkova (8) Junyi Jessy Li (8) Iain Marshall (8) Jan-Willem van de Meent (6) Silvio Amir (6) Sarthak Jain (4) Sebastian Joseph (4) Somin Wadhwa (4) Sanjana Ramprasad (3) Vivek Khetan (3)

Keywords

large language model (10) information extraction (8) electronic health record (6) named entity recognition (6) text summarization (6) text simplification (5) text classification (4) zero-shot learning (4) multi-document summarization (3) medical evidence (3) medical text (3) abstractive summarization (3) medical nlp (2) influence function (2) model interpretability (2) sequence labeling (2) information retrieval (2) sequence tagging (2) data augmentation (2) extractive summarization (2)

Papers

How Much Annotation is Needed to Compare Summarization Models? NAACL 2024

InfoLossQA: Characterizing and Recovering Information Loss in Text Simplification ACL 2024

FactPICO: Factuality Evaluation for Plain Language Summarization of Medical Evidence ACL 2024

On-the-fly Definition Augmentation of LLMs for Biomedical NER NAACL 2024

Evaluating the Factuality of Zero-shot Summarizers Across Varied Domains EACL 2024

Leveraging ChatGPT in Pharmacovigilance Event Extraction: An Empirical Study EACL 2024

Towards Reducing Diagnostic Errors with Interpretable Risk Prediction NAACL 2024

SemEval-2023 Task 8: Causal Medical Claim Identification and Related PIO Frame Extraction from Social Media Posts ACL 2023

Future Lens: Anticipating Subsequent Tokens from a Single Hidden State CONLL 2023

Automatically Summarizing Evidence from Clinical Trials: A Prototype Highlighting Current Challenges EACL 2023

RedHOT: A Corpus of Annotated Medical Questions, Experiences, and Claims on Social Media EACL 2023

NapSS: Paragraph-level Medical Text Simplification via Narrative Prompting and Sentence-matching Summarization EACL 2023

USB: A Unified Summarization Benchmark Across Tasks and Domains EMNLP 2023

Future Lens: Anticipating Subsequent Tokens from a Single Hidden State EMNLP 2023

CHiLL: Zero-shot Custom Interpretable Feature Extraction from Clinical Notes with Large Language Models EMNLP 2023

SemEval-2023 Task 8: Causal Medical Claim Identification and Related PIO Frame Extraction from Social Media Posts SEMEVAL 2023

Revisiting Relation Extraction in the era of Large Language Models ACL 2023

Summarizing, Simplifying, and Synthesizing Medical Evidence using GPT-3 (with Varying Success) ACL 2023

Appraising the Potential Uses and Harms of LLMs for Medical Systematic Reviews EMNLP 2023

Multilingual Simplification of Medical Texts EMNLP 2023

Combining Feature and Instance Attribution to Detect Artifacts ACL 2022

Evaluating Factuality in Text Simplification ACL 2022

Self-Repetition in Abstractive Neural Summarizers AACL 2022

Overview of MSLR2022: A Shared Task on Multi-document Summarization for Literature Reviews COLING 2022

That’s the Wrong Lung! Evaluating and Improving the Interpretability of Unsupervised Multimodal Encoders for Medical Data EMNLP 2022

PHEE: A Dataset for Pharmacovigilance Event Extraction from Text EMNLP 2022

Influence Functions for Sequence Tagging Models EMNLP 2022

Intermediate Entity-based Sparse Interpretable Representation Learning EMNLP 2022

Self-Repetition in Abstractive Neural Summarizers IJCNLP 2022

Learning to Ask Like a Physician NAACL 2022

Unsupervised Data Augmentation with Naive Augmentation and without Unlabeled Data EMNLP 2021

Does BERT Pretrained on Clinical Notes Reveal Sensitive Data? NAACL 2021

An Empirical Comparison of Instance Attribution Methods for NLP NAACL 2021

On the Impact of Random Seeds on the Fairness of Clinical Classifiers NAACL 2021

Paragraph-level Simplification of Medical Texts NAACL 2021

Biomedical Interpretable Entity Representations ACL 2021

What Would it Take to get Biomedical QA Systems into Practice? EMNLP 2021

Disentangling Representations of Text by Masking Transformers EMNLP 2021

Biomedical Interpretable Entity Representations IJCNLP 2021

Structured Neural Topic Models for Reviews AISTATS 2019

Browsing Health: Information Extraction to Support New Interfaces for Accessing Medical Evidence NAACL 2019

A Corpus with Multi-Level Annotations of Patients, Interventions and Outcomes to Support Language Processing for Medical Literature ACL 2018

Syntactic Patterns Improve Information Extraction for Medical Search NAACL 2018

Aggregating and Predicting Sequence Labels from Crowd Annotations ACL 2017

A Sensitivity Analysis of (and Practitioners’ Guide to) Convolutional Neural Networks for Sentence Classification IJCNLP 2017

Multiple Narrative Disentanglement: Unraveling Infinite Jest NAACL 2012