← Authors

Emma Strubell

41 papers · 2015–2025 · 7 conferences · across top CS/AI conferences

Achievements

🌈 Renaissance Researcher (8) 🐝 Cross-Pollinator (9) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (7) πŸƒ Academic Marathon (10) πŸ—ΊοΈ Taxonomy Completionist (71) 🌟 Keyword Trendsetter Combo (3) πŸ‘₯ Mega-Team (43) 🧬 Topic Evolution πŸ“ˆ Trend Setter ⚑ Prolific Year (6) πŸ”₯ Unstoppable (5) πŸ—ƒοΈ Keyword Collector (172) πŸ’Ž Century Club (41) ❓ The Questioner (2)

Conferences

ACL (17) EMNLP (16) NAACL (3) IJCNLP (2) ICLR (1) JMLR (1) NIPS (1)

Top co-authors

Andrew McCallum (9) Eduard Hovy (7) Zhisong Zhang (7) Clara Na (7) Jesse Dodge (5) Sanket Vaibhav Mehta (5) Patrick Verga (4) Jared Fernandez (4) Sireesh Gururaja (3) Jacob Morrison (3)

Keywords

large language model (8) semantic role labeling (6) natural language processing (4) model compression (3) knowledge distillation (3) information extraction (3) language model (3) named entity recognition (3) catastrophic forgetting (2) continual learning (2) energy efficiency (2) transfer learning (2) domain adaptation (2) structured prediction (2) few-shot learning (2) dependency parsing (2) bias detection (2) multi-task learning (2) active learning (2) syntactic parsing (2)

Papers

Stereotype or Personalization? User Identity Biases Chatbot Recommendations ACL 2025
Holistically Evaluating the Environmental Impact of Creating Language Models ICLR 2025
FicSim: A Dataset for Multi-Faceted Semantic Similarity in Long-Form Fiction EMNLP 2025
Beyond Text: Characterizing Domain Expert Needs in Document Research ACL 2025
Energy Considerations of Large Language Model Inference and Efficiency Optimizations ACL 2025
Collage: Decomposable Rapid Prototyping for Co-Designed Information Extraction on Scientific PDFs ACL 2025
Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research ACL 2024
Challenges in End-to-End Policy Extraction from Climate Action Plans ACL 2024
Scalable Data Ablation Approximations for Language Models through Modular Training and Merging EMNLP 2024
Gradient Localization Improves Lifelong Pretraining of Language Models EMNLP 2024
AboutMe: Using Self-Descriptions in Webpages to Document the Effects of English Pretraining Data Filters ACL 2024
OLMo: Accelerating the Science of Language Models ACL 2024
Making Scalable Meta Learning Practical NIPS 2023
Annotating Mentions Alone Enables Efficient Domain Adaptation for Coreference Resolution ACL 2023
To Adapt or to Annotate: Challenges and Interventions for Domain Adaptation in Open-Domain Question Answering ACL 2023
On the Interactions of Structural Constraints and Data Resources for Structured Prediction ACL 2023
The Framework Tax: Disparities Between Inference Efficiency in NLP Research and Deployment EMNLP 2023
Understanding the Effect of Model Compression on Social Bias in Large Language Models EMNLP 2023
DSI++: Updating Transformer Memory with New Documents EMNLP 2023
To Build Our Future, We Must Know Our Past: Contextualizing Paradigm Shifts in Natural Language Processing EMNLP 2023
Energy and Carbon Considerations of Fine-Tuning BERT EMNLP 2023
Data-efficient Active Learning for Structured Prediction with Partial Annotation and Self-Training EMNLP 2023
An Empirical Investigation of the Role of Pre-training in Lifelong Learning JMLR 2023
Bridging Fairness and Environmental Sustainability in Natural Language Processing EMNLP 2022
Train Flat, Then Compress: Sharpness-Aware Minimization Learns More Compressible Models EMNLP 2022
Evaluating Gender Bias Transfer from Film Data NAACL 2022
Improving Compositional Generalization with Self-Training for Data-to-Text Generation ACL 2022
Transfer Learning from Semantic Role Labeling to Event Argument Extraction with Template-based Slot Querying EMNLP 2022
A Survey of Active Learning for Natural Language Processing EMNLP 2022
On the Benefit of Syntactic Supervision for Cross-lingual Transfer in Semantic Role Labeling EMNLP 2021
Comparing Span Extraction Methods for Semantic Role Labeling ACL 2021
Comparing Span Extraction Methods for Semantic Role Labeling IJCNLP 2021
Energy and Policy Considerations for Deep Learning in NLP ACL 2019
The Materials Science Procedural Text Corpus: Annotating Materials Synthesis Procedures with Shallow Semantic Structures ACL 2019
Linguistically-Informed Self-Attention for Semantic Role Labeling EMNLP 2018
Simultaneously Self-Attending to All Mentions for Full-Abstract Biological Relation Extraction NAACL 2018
Syntax Helps ELMo Understand Semantics: Is Syntax Still Relevant in a Deep Neural Architecture for SRL? ACL 2018
Fast and Accurate Entity Recognition with Iterated Dilated Convolutions EMNLP 2017
Multilingual Relation Extraction using Compositional Universal Schema NAACL 2016
Learning Dynamic Feature Selection for Fast Sequential Prediction ACL 2015
Learning Dynamic Feature Selection for Fast Sequential Prediction IJCNLP 2015