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Dan Roth [home page]

Head

Research Area: Artificial Intelligence, Machine Learning, and Natural Language Processing.

Project Participation

  • Learning Sparse Representations for Object Detection
  • Constraint Classifications: A New Approach to Multiclass Classification
  • Learning Coherent Concepts
  • Inference with Classifiers
  • Intermediate Knowledge Representations that Facilitate Learning
  • Semi-Supervised Adaptation of Named Entity Recognizers Across Languages
  • Learning Based Programming
  • First-order Probabilistic Inference
  • Context Sensitive Paraphrasing
  • Semantic Role Labeling with Psycholinguistic Inspired Features
  • Semisupervised Learning with Prior Knowledge
  • Multilingual Dependency Parsing
  • Active Learning in Structured Output Spaces
  • Digital Guards for Open System Security
  • Structural Decomposition of Sentences
  • Constraint Driven Learning
  • Robust Adaptation: Analysis of Feature Extension Algorithms
  • Relation Extraction with Auxilliary Tasks
  • Dataless Classification
  • Unsupervised Rank Aggregation
  • Transliteration
  • Learning to Rank
  • NLP Based Search
  • Active and Interactive Learning
  • Semantic Parsing (Semantic Role Labeling)
  • Psycholinguistics
  • Pipeline Models
  • Lexical Semantics
  • Trustworthiness
  • Named Entities and Relations
My Group's Publications
My Group's Projects
My Group's Project Demos
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