Ph.D. Dissertations - Daniel Klein
Modeling the Structure of the Human Semantic System
Catherine Chen [2024]
Structured Contexts For Large Language Models
Kevin Lin [2024]
Controlling Long-Form Large Language Model Outputs
Kevin Yang [2023]
Controlling Long-Form Large Language Model Outputs
Kevin Yang [2023]
Voicing Silent Speech
David Gaddy [2022]
Learning Grounded Pragmatic Communication
Daniel Fried [2021]
Structured Neural Models and Structured Decoding for Natural Language Processing
Mitchell Stern [2020]
Learning from Language
Jacob Andreas [2018]
Algorithms for Identifying Syntactic Errors and Parsing with Graph Structured Output
Jonathan K. Kummerfeld [2016]
Identifying and Resolving Entities in Text
Greg Durrett [2016]
Refinements in Syntactic Parsing
David Hall [2015]
Unsupervised Analysis of Structured Human Artifacts
Taylor Berg-Kirkpatrick [2015]
Applying Probabilistic Models for Knowledge Diagnosis and Educational Game Design
Anna Rafferty [2014]
Designing an Exploratory Text Analysis Tool for Humanities and Social Sciences Research
Aditi Shrikumar [2013]
Semantics and Pragmatics of Spatial Reference
Dave Golland [2013]
Surface Web Semantics for Structured Natural Language Processing
Mohit Bansal [2013]
Optimal Search Algorithms for Structured Problems in Natural Language Processing
Adam David Pauls [2012]
Syntactic Agreement in Bilingual Corpora
David Burkett [2012]
Learning Dependency-Based Compositional Semantics
Percy Shuo Liang [2011]
Phrase Alignment Models for Statistical Machine Translation
John Sturdy DeNero [2010]
Probabilistic Models of Evolution and Language Change
Alexandre Bouchard-Cote [2010]
Unsupervised Models of Entity Reference Resolution
Aria Delier Haghighi [2010]
Coarse-to-Fine Natural Language Processing
Slav Orlinov Petrov [2009]