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» Generating VHDL models from natural language descriptions
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CONTEXT
2007
Springer
15 years 6 months ago
Textual Inference Logic: Take Two
This note describes a logical system based on concepts and contexts, whose aim is to serve as a representation language for meanings of natural language sentences. The logic is a t...
Valeria de Paiva, Daniel G. Bobrow, Cleo Condoravd...
COLING
2010
14 years 6 months ago
Unsupervised Discriminative Language Model Training for Machine Translation using Simulated Confusion Sets
An unsupervised discriminative training procedure is proposed for estimating a language model (LM) for machine translation (MT). An English-to-English synchronous context-free gra...
Zhifei Li, Ziyuan Wang, Sanjeev Khudanpur, Jason E...
BMCBI
2010
117views more  BMCBI 2010»
14 years 12 months ago
Beyond rotamers: a generative, probabilistic model of side chains in proteins
Background: Accurately covering the conformational space of amino acid side chains is essential for important applications such as protein design, docking and high resolution stru...
Tim Harder, Wouter Boomsma, Martin Paluszewski, Je...
FSMNLP
2005
Springer
15 years 5 months ago
Parsing with Lexicalized Probabilistic Recursive Transition Networks
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...
Alexis Nasr, Owen Rambow
ACL
2004
15 years 1 months ago
Classifying Semantic Relations in Bioscience Texts
A crucial step toward the goal of automatic extraction of propositional information from natural language text is the identification of semantic relations between constituents in ...
Barbara Rosario, Marti A. Hearst