Emma Strubell

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 80

Top Topics

Language Processing

Semantic Role Labeling

Coreference Resolution

Top Venues

EMNLP (Findings)

Publications

Sasha Luccioni, Yacine Jernite, Emma Strubell
Power Hungry Processing: Watts Driving the Cost of AI Deployment? FAccT (2024)
Dirk Groeneveld, Iz Beltagy, Pete Walsh, Akshita Bhagia, Rodney Kinney, Oyvind Tafjord, Ananya Harsh Jha, Hamish Ivison, Ian Magnusson, Yizhong Wang, Shane Arora, David Atkinson, Russell Authur, Khyathi Raghavi Chandu, Arman Cohan, Jennifer Dumas, Yanai Elazar, Yuling Gu, Jack Hessel, Tushar Khot, William Merrill, Jacob Morrison, Niklas Muennighoff, Aakanksha Naik, Crystal Nam, Matthew E. Peters, Valentina Pyatkin, Abhilasha Ravichander, Dustin Schwenk, Saurabh Shah, Will Smith, Emma Strubell, Nishant Subramani, Mitchell Wortsman, Pradeep Dasigi, Nathan Lambert, Kyle Richardson, Luke Zettlemoyer, Jesse Dodge, Kyle Lo, Luca Soldaini, Noah A. Smith, Hannaneh Hajishirzi
OLMo: Accelerating the Science of Language Models. CoRR (2024)
Muhammad Khalifa, David Wadden, Emma Strubell, Honglak Lee, Lu Wang, Iz Beltagy, Hao Peng
Source-Aware Training Enables Knowledge Attribution in Language Models. CoRR (2024)
Benjamin C. Lee, David Brooks, Arthur van Benthem, Udit Gupta, Gage Hills, Vincent Liu, Benjamin Pierce, Christopher Stewart, Emma Strubell, Gu-Yeon Wei, Adam Wierman, Yuan Yao, Minlan Yu
Carbon Connect: An Ecosystem for Sustainable Computing. CoRR (2024)
Sang Keun Choe, Hwijeen Ahn, Juhan Bae, Kewen Zhao, Minsoo Kang, Youngseog Chung, Adithya Pratapa, Willie Neiswanger, Emma Strubell, Teruko Mitamura, Jeff G. Schneider, Eduard H. Hovy, Roger B. Grosse, Eric P. Xing
What is Your Data Worth to GPT? LLM-Scale Data Valuation with Influence Functions. CoRR (2024)
Li Lucy, Suchin Gururangan, Luca Soldaini, Emma Strubell, David Bamman, Lauren Klein, Jesse Dodge
AboutMe: Using Self-Descriptions in Webpages to Document the Effects of English Pretraining Data Filters. CoRR (2024)
Li Lucy, Suchin Gururangan, Luca Soldaini, Emma Strubell, David Bamman, Lauren Klein, Jesse Dodge
AboutMe: Using Self-Descriptions in Webpages to Document the Effects of English Pretraining Data Filters. ACL (1) (2024)
Luca Soldaini, Rodney Kinney, Akshita Bhagia, Dustin Schwenk, David Atkinson, Russell Authur, Ben Bogin, Khyathi Chandu, Jennifer Dumas, Yanai Elazar, Valentin Hofmann, Ananya Harsh Jha, Sachin Kumar, Li Lucy, Xinxi Lyu, Nathan Lambert, Ian Magnusson, Jacob Morrison, Niklas Muennighoff, Aakanksha Naik, Crystal Nam, Matthew E. Peters, Abhilasha Ravichander, Kyle Richardson, Zejiang Shen, Emma Strubell, Nishant Subramani, Oyvind Tafjord, Pete Walsh, Luke Zettlemoyer, Noah A. Smith, Hannaneh Hajishirzi, Iz Beltagy, Dirk Groeneveld, Jesse Dodge, Kyle Lo
Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research. CoRR (2024)
Sanket Vaibhav Mehta, Darshan Patil, Sarath Chandar, Emma Strubell
An Empirical Investigation of the Role of Pre-training in Lifelong Learning. J. Mach. Learn. Res. 24 (2023)
Marcos V. Treviso, Ji-Ung Lee, Tianchu Ji, Betty van Aken, Qingqing Cao, Manuel R. Ciosici, Michael Hassid, Kenneth Heafield, Sara Hooker, Colin Raffel, Pedro Henrique Martins, André F. T. Martins, Jessica Zosa Forde, Peter A. Milder, Edwin Simpson, Noam Slonim, Jesse Dodge, Emma Strubell, Niranjan Balasubramanian, Leon Derczynski, Iryna Gurevych, Roy Schwartz
Efficient Methods for Natural Language Processing: A Survey. Trans. Assoc. Comput. Linguistics 11 (2023)
Xiaorong Wang, Clara Na, Emma Strubell, Sorelle Friedler, Sasha Luccioni
Energy and Carbon Considerations of Fine-Tuning BERT. CoRR (2023)
Zhisong Zhang, Emma Strubell, Eduard H. Hovy
Data-efficient Active Learning for Structured Prediction with Partial Annotation and Self-Training. CoRR (2023)
Nupoor Gandhi, Anjalie Field, Emma Strubell
Annotating Mentions Alone Enables Efficient Domain Adaptation for Coreference Resolution. ACL (1) (2023)
Sireesh Gururaja, Amanda Bertsch, Clara Na, David Gray Widder, Emma Strubell
To Build Our Future, We Must Know Our Past: Contextualizing Paradigm Shifts in Natural Language Processing. EMNLP (2023)
Sanket Vaibhav Mehta, Jai Gupta, Yi Tay, Mostafa Dehghani, Vinh Q. Tran, Jinfeng Rao, Marc Najork, Emma Strubell, Donald Metzler
DSI++: Updating Transformer Memory with New Documents. EMNLP (2023)
Sang Keun Choe, Sanket Vaibhav Mehta, Hwijeen Ahn, Willie Neiswanger, Pengtao Xie, Emma Strubell, Eric Xing
Making Scalable Meta Learning Practical. CoRR (2023)
Rajshekhar Das, Jonathan Francis, Sanket Vaibhav Mehta, Jean Oh, Emma Strubell, José M. F. Moura
Regularizing Self-training for Unsupervised Domain Adaptation via Structural Constraints. CoRR (2023)
Dheeru Dua, Emma Strubell, Sameer Singh, Pat Verga
To Adapt or to Annotate: Challenges and Interventions for Domain Adaptation in Open-Domain Question Answering. ACL (1) (2023)
Ji-Ung Lee, Haritz Puerto, Betty van Aken, Yuki Arase, Jessica Zosa Forde, Leon Derczynski, Andreas Rücklé, Iryna Gurevych, Roy Schwartz, Emma Strubell, Jesse Dodge
Surveying (Dis)Parities and Concerns of Compute Hungry NLP Research. CoRR (2023)
Hao Peng, Qingqing Cao, Jesse Dodge, Matthew E. Peters, Jared Fernandez, Tom Sherborne, Kyle Lo, Sam Skjonsberg, Emma Strubell, Darrell Plessas, Iz Beltagy, Evan Pete Walsh, Noah A. Smith, Hannaneh Hajishirzi
Efficiency Pentathlon: A Standardized Arena for Efficiency Evaluation. CoRR (2023)
Harnoor Dhingra, Preetiha Jayashanker, Sayali Moghe, Emma Strubell
Queer People are People First: Deconstructing Sexual Identity Stereotypes in Large Language Models. CoRR (2023)
Zhisong Zhang, Emma Strubell, Eduard H. Hovy
On the Interactions of Structural Constraints and Data Resources for Structured Prediction. SustaiNLP (2023)
Alexandra Sasha Luccioni, Yacine Jernite, Emma Strubell
Power Hungry Processing: Watts Driving the Cost of AI Deployment? CoRR (2023)
Jared Fernandez, Jacob Kahn, Clara Na, Yonatan Bisk, Emma Strubell
The Framework Tax: Disparities Between Inference Efficiency in NLP Research and Deployment. EMNLP (2023)
Ananya Harsh Jha, Dirk Groeneveld, Emma Strubell, Iz Beltagy
Large Language Model Distillation Doesn't Need a Teacher. CoRR (2023)
Sang Keun Choe, Sanket Vaibhav Mehta, Hwijeen Ahn, Willie Neiswanger, Pengtao Xie, Emma Strubell, Eric Xing
Making Scalable Meta Learning Practical. NeurIPS (2023)
Sireesh Gururaja, Amanda Bertsch, Clara Na, David Gray Widder, Emma Strubell
To Build Our Future, We Must Know Our Past: Contextualizing Paradigm Shifts in Natural Language Processing. CoRR (2023)
Zhisong Zhang, Emma Strubell, Eduard H. Hovy
Data-efficient Active Learning for Structured Prediction with Partial Annotation and Self-Training. EMNLP (Findings) (2023)
Gustavo Gonçalves, Emma Strubell
Understanding the Effect of Model Compression on Social Bias in Large Language Models. EMNLP (2023)
Gustavo Gonçalves, Emma Strubell
Understanding the Effect of Model Compression on Social Bias in Large Language Models. CoRR (2023)
Xiaorong Wang, Clara Na, Emma Strubell, Sorelle Friedler, Sasha Luccioni
Energy and Carbon Considerations of Fine-Tuning BERT. EMNLP (Findings) (2023)
Jared Fernandez, Jacob Kahn, Clara Na, Yonatan Bisk, Emma Strubell
The Framework Tax: Disparities Between Inference Efficiency in Research and Deployment. CoRR (2023)
Jesse Dodge, Taylor Prewitt, Remi Tachet des Combes, Erika Odmark, Roy Schwartz, Emma Strubell, Alexandra Sasha Luccioni, Noah A. Smith, Nicole DeCario, Will Buchanan
Measuring the Carbon Intensity of AI in Cloud Instances. FAccT (2022)
Marius Hessenthaler, Emma Strubell, Dirk Hovy, Anne Lauscher
Bridging Fairness and Environmental Sustainability in Natural Language Processing. CoRR (2022)
Sanket Vaibhav Mehta, Jinfeng Rao, Yi Tay, Mihir Kale, Ankur Parikh, Emma Strubell
Improving Compositional Generalization with Self-Training for Data-to-Text Generation. ACL (1) (2022)
Nupoor Gandhi, Anjalie Field, Emma Strubell
Mention Annotations Alone Enable Efficient Domain Adaptation for Coreference Resolution. CoRR (2022)
Zhisong Zhang, Emma Strubell, Eduard H. Hovy
Transfer Learning from Semantic Role Labeling to Event Argument Extraction with Template-based Slot Querying. EMNLP (2022)
Jesse Dodge, Taylor Prewitt, Remi Tachet des Combes, Erika Odmark, Roy Schwartz, Emma Strubell, Alexandra Sasha Luccioni, Noah A. Smith, Nicole DeCario, Will Buchanan
Measuring the Carbon Intensity of AI in Cloud Instances. CoRR (2022)
Zhisong Zhang, Emma Strubell, Eduard H. Hovy
A Survey of Active Learning for Natural Language Processing. CoRR (2022)
Clara Na, Sanket Vaibhav Mehta, Emma Strubell
Train Flat, Then Compress: Sharpness-Aware Minimization Learns More Compressible Models. EMNLP (Findings) (2022)
Dheeru Dua, Emma Strubell, Sameer Singh, Pat Verga
To Adapt or to Annotate: Challenges and Interventions for Domain Adaptation in Open-Domain Question Answering. CoRR (2022)
Zhisong Zhang, Emma Strubell, Eduard H. Hovy
A Survey of Active Learning for Natural Language Processing. EMNLP (2022)
Sanket Vaibhav Mehta, Jai Prakash Gupta, Yi Tay, Mostafa Dehghani, Vinh Q. Tran, Jinfeng Rao, Marc Najork, Emma Strubell, Donald Metzler
DSI++: Updating Transformer Memory with New Documents. CoRR (2022)
Clara Na, Sanket Vaibhav Mehta, Emma Strubell
Train Flat, Then Compress: Sharpness-Aware Minimization Learns More Compressible Models. CoRR (2022)
Marius Hessenthaler, Emma Strubell, Dirk Hovy, Anne Lauscher
Bridging Fairness and Environmental Sustainability in Natural Language Processing. EMNLP (2022)
Zheng Wang, Juncheng B. Li, Shuhui Qu, Florian Metze, Emma Strubell
Error-aware Quantization through Noise Tempering. CoRR (2022)
Zheng Wang, Juncheng B. Li, Shuhui Qu, Florian Metze, Emma Strubell
SQuAT: Sharpness- and Quantization-Aware Training for BERT. CoRR (2022)
Jesse Dodge, Iryna Gurevych, Roy Schwartz, Emma Strubell, Betty van Aken
Efficient and Equitable Natural Language Processing in the Age of Deep Learning (Dagstuhl Seminar 22232). Dagstuhl Reports 12 (6) (2022)
Sanket Vaibhav Mehta, Jinfeng Rao, Yi Tay, Mihir Kale, Ankur Parikh, Hongtao Zhong, Emma Strubell
Improving Compositional Generalization with Self-Training for Data-to-Text Generation. CoRR (2021)
Amee Trivedi, Kate Silverstein, Emma Strubell, Prashant J. Shenoy, Mohit Iyyer
WiFiMod: Transformer-based Indoor Human Mobility Modeling using Passive Sensing. COMPASS (2021)
Zhisong Zhang, Emma Strubell, Eduard H. Hovy
Comparing Span Extraction Methods for Semantic Role Labeling. SPNLP@ACL-IJCNLP (2021)
Amee Trivedi, Kate Silverstein, Emma Strubell, Prashant J. Shenoy
WiFiMod: Transformer-based Indoor Human Mobility Modeling using Passive Sensing. CoRR (2021)
Sanket Vaibhav Mehta, Darshan Patil, Sarath Chandar, Emma Strubell
An Empirical Investigation of the Role of Pre-training in Lifelong Learning. CoRR (2021)
Zhisong Zhang, Emma Strubell, Eduard H. Hovy
On the Benefit of Syntactic Supervision for Cross-lingual Transfer in Semantic Role Labeling. EMNLP (1) (2021)
Emma Strubell, Ananya Ganesh, Andrew McCallum
Energy and Policy Considerations for Modern Deep Learning Research. AAAI (2020)
Edward Kim, Zach Jensen, Alexander van Grootel, Kevin Huang, Matthew Staib, Sheshera Mysore, Haw-Shiuan Chang, Emma Strubell, Andrew McCallum, Stefanie Jegelka, Elsa Olivetti
Inorganic Materials Synthesis Planning with Literature-Trained Neural Networks. J. Chem. Inf. Model. 60 (3) (2020)
Sheshera Mysore, Zach Jensen, Edward Kim, Kevin Huang, Haw-Shiuan Chang, Emma Strubell, Jeffrey Flanigan, Andrew McCallum, Elsa Olivetti
The Materials Science Procedural Text Corpus: Annotating Materials Synthesis Procedures with Shallow Semantic Structures. CoRR (2019)
Emma Strubell, Ananya Ganesh, Andrew McCallum
Energy and Policy Considerations for Deep Learning in NLP. CoRR (2019)
Emma Strubell, Ananya Ganesh, Andrew McCallum
Energy and Policy Considerations for Deep Learning in NLP. ACL (1) (2019)
Sheshera Mysore, Zach Jensen, Edward Kim, Kevin Huang, Haw-Shiuan Chang, Emma Strubell, Jeffrey Flanigan, Andrew McCallum, Elsa Olivetti
The Materials Science Procedural Text Corpus: Annotating Materials Synthesis Procedures with Shallow Semantic Structures. LAW@ACL (2019)
Edward Kim, Zach Jensen, Alexander van Grootel, Kevin Huang, Matthew Staib, Sheshera Mysore, Haw-Shiuan Chang, Emma Strubell, Andrew McCallum, Stefanie Jegelka, Elsa Olivetti
Inorganic Materials Synthesis Planning with Literature-Trained Neural Networks. CoRR (2019)
Patrick Verga, Emma Strubell, Andrew McCallum
Simultaneously Self-Attending to All Mentions for Full-Abstract Biological Relation Extraction. NAACL-HLT (2018)
Emma Strubell, Patrick Verga, Daniel Andor, David Weiss, Andrew McCallum
Linguistically-Informed Self-Attention for Semantic Role Labeling. CoRR (2018)
Vittorio Perera, Tagyoung Chung, Thomas Kollar, Emma Strubell
Multi-Task Learning For Parsing The Alexa Meaning Representation Language. AAAI (2018)
Emma Strubell, Andrew McCallum
Syntax Helps ELMo Understand Semantics: Is Syntax Still Relevant in a Deep Neural Architecture for SRL? CoRR (2018)
Patrick Verga, Emma Strubell, Andrew McCallum
Simultaneously Self-Attending to All Mentions for Full-Abstract Biological Relation Extraction. CoRR (2018)
Emma Strubell, Patrick Verga, Daniel Andor, David Weiss, Andrew McCallum
Linguistically-Informed Self-Attention for Semantic Role Labeling. EMNLP (2018)
Sheshera Mysore, Edward Kim, Emma Strubell, Ao Liu, Haw-Shiuan Chang, Srikrishna Kompella, Kevin Huang, Andrew McCallum, Elsa Olivetti
Automatically Extracting Action Graphs from Materials Science Synthesis Procedures. CoRR (2017)
Emma Strubell, Patrick Verga, David Belanger, Andrew McCallum
Fast and Accurate Entity Recognition with Iterated Dilated Convolutions. EMNLP (2017)
Emma Strubell, Andrew McCallum
Dependency Parsing with Dilated Iterated Graph CNNs. CoRR (2017)
Emma Strubell, Andrew McCallum
Dependency Parsing with Dilated Iterated Graph CNNs. SPNLP@EMNLP (2017)
Patrick Verga, Emma Strubell, Ofer Shai, Andrew McCallum
Attending to All Mention Pairs for Full Abstract Biological Relation Extraction. AKBC@NIPS (2017)
Emma Strubell, Patrick Verga, David Belanger, Andrew McCallum
Fast and Accurate Sequence Labeling with Iterated Dilated Convolutions. CoRR (2017)
Patrick Verga, Emma Strubell, Ofer Shai, Andrew McCallum
Attending to All Mention Pairs for Full Abstract Biological Relation Extraction. CoRR (2017)
Patrick Verga, David Belanger, Emma Strubell, Benjamin Roth, Andrew McCallum
Multilingual Relation Extraction using Compositional Universal Schema. HLT-NAACL (2016)
Haw-Shiuan Chang, Abdurrahman Munir, Ao Liu, Johnny Tian-Zheng Wei, Aaron Traylor, Ajay Nagesh, Nicholas Monath, Patrick Verga, Emma Strubell, Andrew McCallum
Extracting Multilingual Relations under Limited Resources: TAC 2016 Cold-Start KB construction and Slot-Filling using Compositional Universal Schema. TAC (2016)
Patrick Verga, David Belanger, Emma Strubell, Benjamin Roth, Andrew McCallum
Multilingual Relation Extraction using Compositional Universal Schema. CoRR (2015)
Emma Strubell, Luke Vilnis, Kate Silverstein, Andrew McCallum
Learning Dynamic Feature Selection for Fast Sequential Prediction. CoRR (2015)
Emma Strubell, Luke Vilnis, Kate Silverstein, Andrew McCallum
Learning Dynamic Feature Selection for Fast Sequential Prediction. ACL (1) (2015)
Benjamin Roth, Nicholas Monath, David Belanger, Emma Strubell, Patrick Verga, Andrew McCallum
Building Knowledge Bases with Universal Schema: Cold Start and Slot-Filling Approaches. TAC (2015)
Emma Strubell, Luke Vilnis, Andrew McCallum
Training for Fast Sequential Prediction Using Dynamic Feature Selection. CoRR (2014)