Dan Jurafsky
Stanford University
training data frequency
multilinguality
low-resource nlp
summarization
hallucination
bias
data augmentation
generation
evaluation
text classification
education
nlp
computational social science
conversation
domain adaptation
22
presentations
12
number of views
SHORT BIO
Dan Jurafsky is Professor of Linguistics, Professor of Computer Science, and Jackson Eli Reynolds Professor in Humanities at Stanford University. He is the recipient of a 2002 MacArthur Fellowship, a member of the American Academy of Arts and Sciences, and a fellow of the Association for Computational Linguistics, the Linguistics Society of America, and the American Association for the Advancement of Science. Dan is the co-author with Jim Martin of the widely-used textbook "Speech and Language Processing", and co-created with Chris Manning the first massively open online course in Natural Language Processing. His trade book "The Language of Food: A Linguist Reads the Menu" was a finalist for the 2015 James Beard Award. His research ranges widely across NLP as well as its applications to the behavioral and social sciences.
Presentations
Navigating the Grey Area: How Expressions of Uncertainty and Overconfidence Affect Language Models | VIDEO
Kaitlyn Zhou and 2 other authors
Making More of Little Data: Improving Low-Resource Automatic Speech Recognition Using Data Augmentation
Martijn Bartelds and 4 other authors
Marked Personas: Using Natural Language Prompts to Measure Stereotypes in Language Models
Myra Cheng and 2 other authors
Multilingual BERT has an accent: Evaluating English influences on fluency in multilingual models
Isabel Papadimitriou and 2 other authors
Mini But Mighty: Efficient Multilingual Pretraining with Linguistically-Informed Data Selection
Tolulope Ogunremi and 2 other authors
When Do Pre-Training Biases Propagate to Downstream Tasks? A Case Study in Text Summarization
Faisal Ladhak and 6 other authors
Multilingual BERT has an accent: Evaluating English influences on fluency in multilingual models
Isabel Papadimitriou and 2 other authors
Mini But Mighty: Efficient Multilingual Pretraining with Linguistically-Informed Data Selection
Tolulope Ogunremi and 2 other authors
When Do Pre-Training Biases Propagate to Downstream Tasks? A Case Study in Text Summarization
Faisal Ladhak and 6 other authors
The Authenticity Gap in Human Evaluation
Kawin Ethayarajh and 1 other author
Modular Domain Adaptation
Junshen K Chen and 2 other authors
Focus on what matters: Applying Discourse Coherence Theory to Cross Document Coreference
William Barr Held and 2 other authors
Sensitivity as a Complexity Measure for Sequence Classification Tasks
Michael Hahn and 2 other authors
The Emergence of the Shape Bias Results from Communicative Efficiency
Eva Portelance and 4 other authors
Measuring Conversational Uptake: A Case Study on Student-Teacher Interactions
Dorottya Demszky and 6 other authors
Improving Factual Completeness and Consistency of Image-to-Text Radiology Report Generation
Yasuhide Miura and 4 other authors