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» A Neural Probabilistic Language Model
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NIPS
2008
14 years 11 months ago
Modeling the effects of memory on human online sentence processing with particle filters
Language comprehension in humans is significantly constrained by memory, yet rapid, highly incremental, and capable of utilizing a wide range of contextual information to resolve ...
Roger P. Levy, Florencia Reali, Thomas L. Griffith...
65
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SIGIR
2005
ACM
15 years 3 months ago
Generic soft pattern models for definitional question answering
This paper explores probabilistic lexico-syntactic pattern matching, also known as soft pattern matching. While previous methods in soft pattern matching are ad hoc in computing t...
Hang Cui, Min-Yen Kan, Tat-Seng Chua
IJCNLP
2005
Springer
15 years 3 months ago
Chunking Using Conditional Random Fields in Korean Texts
We present a method of chunking in Korean texts using conditional random fields (CRFs), a recently introduced probabilistic model for labeling and segmenting sequence of data. In a...
Yong-Hun Lee, Mi-Young Kim, Jong-Hyeok Lee
COLING
2008
14 years 11 months ago
A Systematic Comparison of Phrase-Based, Hierarchical and Syntax-Augmented Statistical MT
Probabilistic synchronous context-free grammar (PSCFG) translation models define weighted transduction rules that represent translation and reordering operations via nonterminal s...
Andreas Zollmann, Ashish Venugopal, Franz Josef Oc...
CORR
1998
Springer
96views Education» more  CORR 1998»
14 years 9 months ago
Similarity-Based Models of Word Cooccurrence Probabilities
Abstract. In many applications of natural language processing (NLP) it is necessary to determine the likelihood of a given word combination. For example, a speech recognizer may ne...
Ido Dagan, Lillian Lee, Fernando C. N. Pereira