Emma Strubell

Beyond Text: Characterizing Domain Expert Needs in Document Research ACL 2025 Collage: Decomposable Rapid Prototyping for Co-Designed Information Extraction on Scientific PDFs ACL 2025 Energy Considerations of Large Language Model Inference and Efficiency Optimizations ACL 2025 FicSim: A Dataset for Multi-Faceted Semantic Similarity in Long-Form Fiction EMNLP 2025 Holistically Evaluating the Environmental Impact of Creating Language Models ICLR 2025 On-device Streaming Discrete Speech Units Interspeech 2025 Stereotype or Personalization? User Identity Biases Chatbot Recommendations ACL 2025 AboutMe: Using Self-Descriptions in Webpages to Document the Effects of English Pretraining Data Filters ACL 2024 Challenges in End-to-End Policy Extraction from Climate Action Plans ACL 2024 Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research ACL 2024 Gradient Localization Improves Lifelong Pretraining of Language Models EMNLP 2024 OLMo: Accelerating the Science of Language Models ACL 2024 Scalable Data Ablation Approximations for Language Models through Modular Training and Merging EMNLP 2024 An Empirical Investigation of the Role of Pre-training in Lifelong Learning JMLR 2023 Annotating Mentions Alone Enables Efficient Domain Adaptation for Coreference Resolution ACL 2023 Data-efficient Active Learning for Structured Prediction with Partial Annotation and Self-Training EMNLP 2023 DSI++: Updating Transformer Memory with New Documents EMNLP 2023 Energy and Carbon Considerations of Fine-Tuning BERT EMNLP 2023 Making Scalable Meta Learning Practical NeurIPS 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 To Adapt or to Annotate: Challenges and Interventions for Domain Adaptation in Open-Domain Question Answering ACL 2023 To Build Our Future, We Must Know Our Past: Contextualizing Paradigm Shifts in Natural Language Processing EMNLP 2023 Understanding the Effect of Model Compression on Social Bias in Large Language Models EMNLP 2023 A Survey of Active Learning for Natural Language Processing EMNLP 2022 Bridging Fairness and Environmental Sustainability in Natural Language Processing EMNLP 2022 Evaluating Gender Bias Transfer from Film Data NAACL 2022 Improving Compositional Generalization with Self-Training for Data-to-Text Generation ACL 2022 Train Flat, Then Compress: Sharpness-Aware Minimization Learns More Compressible Models EMNLP 2022 Transfer Learning from Semantic Role Labeling to Event Argument Extraction with Template-based Slot Querying EMNLP 2022 Comparing Span Extraction Methods for Semantic Role Labeling ACL 2021 On the Benefit of Syntactic Supervision for Cross-lingual Transfer in Semantic Role Labeling EMNLP 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