Sciweavers

149 search results - page 13 / 30
» Language Learning from Stochastic Input
Sort
View
ICPR
2010
IEEE
14 years 9 months ago
A Probabilistic Language Model for Hand Drawings
Probabilistic language models are critical to applications in natural language processing that include speech recognition, optical character recognition, and interfaces for text e...
Abdullah Akce, Timothy Bretl
CIKM
2010
Springer
14 years 8 months ago
Who should I cite: learning literature search models from citation behavior
Scientists depend on literature search to find prior work that is relevant to their research ideas. We introduce a retrieval model for literature search that incorporates a wide ...
Steven Bethard, Dan Jurafsky
ACL
1996
14 years 10 months ago
Minimizing Manual Annotation Cost in Supervised Training from Corpora
Corpus-based methods for natural language processing often use supervised training, requiring expensive manual annotation of training corpora. This paper investigates methods for ...
Sean P. Engelson, Ido Dagan
101
Voted
EELC
2006
125views Languages» more  EELC 2006»
15 years 1 months ago
How Do Children Develop Syntactic Representations from What They Hear?
nstructional schemas, both specific and abstract. Children are thought to start out with concrete pieces of language and to gradually develop more schematic constructions. All cons...
Elena Lieven
DAGSTUHL
2001
14 years 11 months ago
A Language and System for Constructing and Presenting Low Fidelity Algorithm Visualizations
Computer science educators have traditionally used algorithm visualization (AV) software to create graphical representations of algorithms that are later used as visual aids in lec...
Christopher D. Hundhausen, Sarah A. Douglas