Skip to search formSkip to main content
You are currently offline. Some features of the site may not work correctly.

Eugene Charniak

Eugene Charniak is a Computer Science and Cognitive Science professor at Brown University. He has an A.B. in Physics from The University of Chicago… Expand
Wikipedia

Related topics

Related topics

8 relations
AI@50Common LispDrew McDermottHistory of the Scheme programming language
Expand

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2011
Highly Cited
2011
Forecasting of global and direct solar irradiance using stochastic learning methods, ground experiments and the NWS database
We develop and validate a medium-term solar irradiance forecasting model by adopting predicted meteorological variables from the… Expand
  • figure 1
  • table 1
  • table 2
  • figure 2
  • figure 3
Is this relevant?
2009
2009
K-Best Combination of Syntactic Parsers
In this paper, we propose a linear model-based general framework to combine k-best parse outputs from multiple parsers. The… Expand
  • table 1
  • table 2
  • table 3
  • figure 4
  • figure 3
Is this relevant?
Highly Cited
2009
Highly Cited
2009
An operational system for the assimilation of the satellite information on wild-land fires for the needs of air quality modelling and forecasting
This paper investigates a potential of two remotely sensed wild-land fire characteristics: 4-μm Brightness Temperature Anomaly… Expand
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
2006
2006
Using Dominators for Solving Constrained Path Problems
Constrained path problems have to do with finding paths in graphs subject to constraints. We present a constraint programming… Expand
  • figure 1
  • figure 2
  • figure 5
  • table 1
  • table 2
Is this relevant?
Highly Cited
1999
Highly Cited
1999
Cost Models DO Matter: Providing Cost Information for Diverse Data Sources in a Federated System
An important issue for federated systems of diverse data sources is how to optimize cross-source queries, without building… Expand
  • figure 2
  • table 2
  • table 3
  • table 4
  • table 5
Is this relevant?
Highly Cited
1995
Highly Cited
1995
Intelligent backtracking on constraint satisfaction problems: experimental and theoretical results
The Constraint Satisfaction Problem is a type of combinatorial search problem of much interest in Artificial Intelligence and… Expand
Is this relevant?
Highly Cited
1994
Highly Cited
1994
Explaining Emotions
Emotions and cognition are inextricably intertwined. Feelings influence thoughts and actions, which in turn can give rise to new… Expand
  • figure 1
  • table 1
Is this relevant?
Highly Cited
1993
Highly Cited
1993
Statistical language learning
From the Publisher: Eugene Charniak breaks new ground in artificial intelligence research by presenting statistical language… Expand
Is this relevant?
1982
1982
Word Sense and Case Slot Disambiguation
The tasks of disambiguating words and determining case are similar and can usefully be combined. We present two cooperating… Expand
Is this relevant?
1972
1972
Selected writings on art and artists
Introduction 1. Extracts from the Salon of 1845 2. Extracts from the Salon of 1846 3. Of virtuous plays and novels 4. The… Expand
Is this relevant?
By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy, Terms of Service, and Dataset License
ACCEPT & CONTINUE