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» Learning operational requirements from goal models
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EMNLP
2011
12 years 7 months ago
Watermarking the Outputs of Structured Prediction with an application in Statistical Machine Translation
We propose a general method to watermark and probabilistically identify the structured outputs of machine learning algorithms. Our method is robust to local editing operations and...
Ashish Venugopal, Jakob Uszkoreit, David Talbot, F...
NLE
2007
148views more  NLE 2007»
13 years 7 months ago
Abbreviated text input using language modeling
We address the problem of improving the efficiency of natural language text input under degraded conditions (for instance, on mobile computing devices or by disabled users), by ta...
Stuart M. Shieber, Rani Nelken
AAAI
1997
13 years 9 months ago
Building Concept Representations from Reusable Components
Our goal is to build knowledge-based systems capable of answering a wide variety of questions, including questions that are unanticipated when the knowledge base is built. For sys...
Peter Clark, Bruce W. Porter
PLDI
2012
ACM
11 years 10 months ago
Effective parallelization of loops in the presence of I/O operations
Software-based thread-level parallelization has been widely studied for exploiting data parallelism in purely computational loops to improve program performance on multiprocessors...
Min Feng, Rajiv Gupta, Iulian Neamtiu
DAGSTUHL
2003
13 years 9 months ago
Pattern Synthesis from Multiple Scenarios for Parameterized Real-Time UML Models
Abstract. The continuing trend towards more sophisticated technical applications results in an increasing demand for high quality software for complex, safety-critical systems. Des...
Holger Giese, Florian Klein, Sven Burmester