Byron Wallace
46 papers · 2012–2024 · 10 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (12) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (10) π Cross-Pollinator (4)
π
Conference Polyglot
(10)
π
Academic Marathon
(12)
π
Cross-Pollinator
(4)
π±
Topic Pioneer
π¬
Deep Specialist
(11)
π§¬
Topic Evolution
π
Keyword Champion
(3)
π
Century Club
(46)
β
The Questioner
(3)
β‘
Prolific Year
(13)
ποΈ
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
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
Thatβs 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 Practitionersβ Guide to) Convolutional Neural Networks for Sentence Classification
IJCNLP 2017
Multiple Narrative Disentanglement: Unraveling Infinite Jest
NAACL 2012