Emma Strubell
41 papers · 2015–2025 · 7 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (10) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (7) π Cross-Pollinator (9)
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Academic Marathon
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Taxonomy Completionist
(71)
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Keyword Trendsetter Combo
(3)
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Mega-Team
(43)
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Topic Evolution
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Trend Setter
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Prolific Year
(6)
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Unstoppable
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Keyword Collector
(172)
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Century Club
(41)
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The Questioner
(2)
Conferences
ACL (17)
EMNLP (16)
NAACL (3)
IJCNLP (2)
ICLR (1)
JMLR (1)
NIPS (1)
Top co-authors
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