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» Generating VHDL models from natural language descriptions
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COLING
2010
14 years 6 months ago
Generative Alignment and Semantic Parsing for Learning from Ambiguous Supervision
We present a probabilistic generative model for learning semantic parsers from ambiguous supervision. Our approach learns from natural language sentences paired with world states ...
Joohyun Kim, Raymond J. Mooney
SCP
2000
119views more  SCP 2000»
14 years 11 months ago
Automated compositional Markov chain generation for a plain-old telephone system
Obtaining performance models, like Markov chains and queueing networks, for systems of significant complexity and magnitude is a difficult task that is usually tackled using human...
Holger Hermanns, Joost-Pieter Katoen
FAC
2010
148views more  FAC 2010»
14 years 10 months ago
Automating the transformation-based analysis of visual languages
We present a novel approach for the automatic generation of model-to-model transformations given a description of the operational semantics of the source language in the form of gr...
Juan de Lara, Hans Vangheluwe
EMNLP
2011
13 years 11 months ago
Learning Sentential Paraphrases from Bilingual Parallel Corpora for Text-to-Text Generation
Previous work has shown that high quality phrasal paraphrases can be extracted from bilingual parallel corpora. However, it is not clear whether bitexts are an appropriate resourc...
Juri Ganitkevitch, Chris Callison-Burch, Courtney ...
ICCAD
1996
IEEE
133views Hardware» more  ICCAD 1996»
15 years 4 months ago
Basic concepts for an HDL reverse engineering tool-set
Designer's productivity has become the key-factor of the development of electronic systems. An increasing application of design data reuse is widely recognized as a promising...
Gunther Lehmann, Bernhard Wunder, Klaus D. Mü...