Jaime Carbonell

Carnegie Mellon University

School of Computer Science

Language Technologies Institute

 

 

 

 

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CURRENT PHD AND MLT STUDENTS


Name Research Area
Daegun Won Proactive Machine Learning
Peter Stojano Transfer learning
Jesse Dunietz Semantic and causal analysis of text
Adams Wei Yu Graph analysis and planning
Shane Moon Proactive machine learning
Keerthiram Murugesan Large-scale skewed-class learning
Dishan Gupta Text mining
Jeffrey Flanigan

Machine Translation of Low-Density Languages (Coadvised with Lori Levin)

 

GRADUATED STUDENTS


Name
Year
Ph.D. Thesis Title
Ashique KhudaBukhsh
2017
Distributed Learning in Referral Networks
Meghana Kshirsagar
2015
Combine and Conquer: Methods for Multitask Learning in Biology and Language
Luis Marujo
2013
Temporal Contextualization of News Articles and Broadcast News
Akira Ushioda
2000
Word and Compound Clustering for NLP
Alexander Hauptmann
1991
Meaning from Structure on NLP (Extended Abstract)
Ariadna Font Llitjos
2007
Automatic Improvement of Machine Translation Systems (Coadvised with Alon Lavie and Lori Levin)
Bora Cenk Gazen
2008
Discovering Web Structure with Multiple Experts in a Clustering Framework
Boyan Onyshkevych
1997
An Ontological-Semantic Framework for Text Analysis (Coadvised with Sergei Nirenburg)
Christian Monson
2008
ParaMor: Paradigm Structure Natural Language Morphology Induction (Coadvised with Alon Lavie and Lori Levin)
Chun Jin
2006
Optimizing Multiple Continuous Queries
Craig Alan Knoblock
1991
Automatically Generating Abstractions for Problem Solving
Daniel Kuokka
1990
The Deliberative Integration of Planning, Execution, and Learning.
Eric H. Nyberg 3rd
1992
A Non-Deterministic, Success-Driven Model of Parameter Setting in Language Acquisition
Eugene Fink
1999
Automatic Representation Changes in Problem Solving
Jae Dong Kim (Jaedy)
2010
Phrasal alignment methods to improve corpus-based machine translation (Coadvised with Ralf Brown)
Jade Goldstein
2009
Genre Oriented Summarization
James Blythe
1998
Planning under Uncertainty in Dynamic Domains
Jill Fain Lehman
1989
Adaptive Parsing: Self-Extending Natural Language Interfaces
Jingrui He
2010
Learning Transfer Rules for Machine Translation with Limited Data (Coadvised with Alon Lavie and Lori Levin)
Jonathan Elsas
2011
Leveraging Collection Structure in Information Retrieval with Applications to Search in Conversational
Klaus Gross
1991
Concept Acquisition through Attribute Evolution and Experiment Selection
Liu Yang
2013
 
Lucian Vlad Lita
2006
Instance-Based Question Answering
Manuela M. Veloso
1992
Learning by Analogical Reasoning in General Problem Solving
Maria Alicia Perez
1995
Learning Search Control Knowledge to Improve Plan Quality
Mark Perlin
1991
Automating the Construction of Efficient Artificial Intelligence Algorithms
Masaru Tomita
1985
An Efficient Context-free Parsing Algorithm for Natural Language
Mehrbod Sharifi
2012
Interpretation of User Comments for Detection of Malicious Websites
Meryem Pinar Donmez
2010
Proactive Learning: Towards Learning with Multiple Imperfect Predictors
Michael Mateas
2002
Interactive Drama, Art and Artificial Intelligence
Michael Mauldin
1989
Information Retrieval by Text Skimming (Summary)
Monica Rogati
2008
Domain Adaptation of Translation Models for Multilingual Applications (Coadvised with Yiming Yang)
Oznur Tatsan
2011
Prediction of Host-Virus Protein-Protein Interactions
Paul Nathan Bennett
2006
Building Metaclassifiers for Text Learning (Coadvised with John Lafferty)
Ralf D Brown
1993
Using Multiple Adaptively-Weighted Strategies to Resolve Demonstratives
Rashmi Gangadharaiah
2011
Coping with Data-Sparsity in Example-Based Machine Translation
Ravi Starzl
2012
Computational Modeling of Immune Signals
Robert Frederking
1986
Natural Language Dialogue in an Integrated Computational Model (Abstract)
Selen Uguroglu    
Sivaraman Balakrishnan
2013
Finding and Leveraging Structure in Learning Problems
Steven Nathaniel Minton
1988
Learning Effective Search Control Knowledge: an Explanation-Based Approach
Ulas Bardak
2007
Information Elicitation in Scheduling Problems (Coadvised with Eugene Fink)
Vamshi Ambati
2011
Active Learning and Crowdsourcing for Machine Translation in Low-Resource Scenarios
Vasco Calais Pedro
2009
Federated Ontology Search
Wei-Min Shen
1989
Learning from the Environment Based on Actions and Percepts (Coadvised with Herb Simon)
Xi Chen
2013
 
Xuemei Wang
1996
Learning Planning Operation by Observation and Practice
Yan Liu
2007
Conditional Graphical Models for Protein Structure Prediction
Yan Qu
2001
A Constraint-Based Model of Mixed-Initiative Dialogue in Information-Seeking Interactions
Yolanda Gil
1992
Acquiring Domain Knowledge for Planning by Experimentation