572 search results - page 35 / 115 » A Neural Probabilistic Language Model |
89
Voted
COLING
1990
14 years 11 months ago
1990
In this paper, we describe a means for automatically building very large neural networks (VLNNs) from definition texts in machine-readable dictionaries, and demonstrate the use of...
NLPRS
2001
Springer
15 years 2 months ago
2001
Springer
There are two different approaches in the LR parsing. The first one is the deterministic approach that performs the only one action using the control rules learned without any LR ...
ICML
2000
IEEE
15 years 2 months ago
2000
IEEE
This paper considers approaches which rerank the output of an existing probabilistic parser. The base parser produces a set of candidate parses for each input sentence, with assoc...
80
Voted
FSMNLP
2005
Springer
15 years 3 months ago
2005
Springer
Abstract. We present a formalization of lexicalized Recursive Transition Networks which we call Automaton-Based Generative Dependency Grammar (gdg). We show how to extract a gdg fr...
JMLR
2010
14 years 4 months ago
2010
Probabilistic grammars offer great flexibility in modeling discrete sequential data like natural language text. Their symbolic component is amenable to inspection by humans, while...