Taylor Berg-Kirkpatrick
Scholar

Taylor Berg-Kirkpatrick

Google Scholar ID: mN6_BKAAAAAJ
University of California San Diego
Natural Language Processing
Citations & Impact
All-time
Citations
9,112
 
H-index
44
 
i10-index
90
 
Publications
20
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • - Klavier: a state-of-the-art musical audio transcription system for piano
  • - Ocular: a state-of-the-art historical document recognition system
  • - Puck: a GPU-accelerated constituency parser with a throughput of over 400 sentences per second
  • - Collaboration with Dr. Talisin Hammond on decoding chipmunk behavior from accelerometer data, featured in The Economist
Research Experience
  • - Taught 11-711: Algorithms for NLP (CMU, Fall 2017)
  • - Taught 11-711: Algorithms for NLP (CMU, Fall 2016)
  • - Taught CS188: Introduction to Artificial Intelligence (UC Berkeley, Summer 2014)
Background
  • Associate Professor in the Department of Computer Science and Engineering at the University of California, San Diego. His research group works on natural language processing and machine learning, focusing on unsupervised methods for deciphering hidden structure. They develop techniques for analyzing various kinds of human data, including natural language, early modern books, handwritten text, historical ciphers, and music.
Co-authors
0 total
Co-authors: 0 (list not available)