I'm a second-year PhD student at UC Berkeley in the Natural Language Processing Group and Berkeley AI Research Lab, advised by Dan Klein. I'm currently interested in structured prediction, and systems that ground language in perception and interaction. Recently, I've worked on distributional semantics, question answering, and applications in precision medicine and public health.
Previously, I studied at the Cambridge Computer Laboratory and the University of Arizona, and have interned with Microsoft Research, the Nara Institute of Science and Technology, and RWTH Aachen.
I'm supported by an NDSEG Fellowship, and previously by a Churchill Scholarship.
Email: dfried AT cs DOT university_name DOT edu
CV Publications Teaching Collaborators
- Improving Neural Parsing by Disentangling Model Combination and Reranking Effects
Daniel Fried*, Mitchell Stern*, and Dan Klein
ACL, 2017 (to appear)
- Towards Using Social Media to Identify Individuals At Risk for Preventable Chronic Illness
Dane Bell, Daniel Fried, Luwen Huangfu, Mihai Surdeanu, and Stephen Kobourov.
- Low-Rank Tensors for Verbs in Compositional Distributional Semantics
Daniel Fried, Tamara Polajnar, and Stephen Clark
- Higher-Order Lexical Semantic Models for Non-Factoid Answer Reranking
Daniel Fried, Peter Jansen, Gustave Hahn-Powell, Mihai Surdeanu, and Peter Clark
- Incorporating Both Distributional and Relational Semantics in Word Representations
Daniel Fried and Kevin Duh
ICLR, 2015 -- workshop track
- Analyzing the Language of Food on Social Media
Daniel Fried, Mihai Surdeanu, Stephen Kobourov, Melanie Hingle, and Dane Bell
IEEE BigData, 2014
[long version] [demo]
- Maps of Computer Science
Daniel Fried and Stephen Kobourov
- Predicting Parallelization of Sequential Programs Using Supervised Learning
Daniel Fried, Zhen Li, Ali Jannesari and Felix Wolf
IEEE International Conference on Machine Learning and Applications, 2013
- A Generative Probabilistic Framework for Learning Spatial Language
Colin R. Dawson, Jeremy Wright, Antons Rebguns, Marco Valenzuela Escárcega, Daniel Fried, and Paul R. Cohen
IEEE International Conference on Development and Learning, 2013
Best Paper Award
- Bayesian Geometric Modeling of Indoor Scenes
Luca Del Pero, Joshua Bowdish, Daniel Fried, Bonnie Kermgard, Emily Hartley, and Kobus Barnard
- Section leader, Introduction to Discrete Structures (CS 245).
University of Arizona, Spring 2012.
- Teaching assistant, Great Ideas of the Information Age (ISTA 100).
University of Arizona, Fall 2011.
Luca Del Pero,
Marco Valenzuela Escárcega,