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» Trainable Methods for Surface Natural Language Generation
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CSB
2003
IEEE
15 years 3 months ago
A Probabilistic Model for Identifying Protein Names and their Name Boundaries
This paper proposes a method for identifying protein names in biomedical texts with an emphasis on detecting protein name boundaries. We use a probabilistic model which exploits s...
Kazuhiro Seki, Javed Mostafa
UML
2005
Springer
15 years 3 months ago
A Formal Enforcement Framework for Role-Based Access Control Using Aspect-Oriented Programming
Many of today’s software applications require a high-level of security, defined by a detailed policy and attained via mechanisms such as role-based access control (RBAC), mandat...
Jaime A. Pavlich-Mariscal, Laurent Michel, Steven ...
EMNLP
2011
13 years 9 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...
CIKM
2009
Springer
15 years 4 months ago
A translation model for matching reviews to objects
We develop a generic method for the review matching problem, which is to match unstructured text reviews to a list of objects, where each object has a set of attributes. To this e...
Nilesh N. Dalvi, Ravi Kumar, Bo Pang, Andrew Tomki...
86
Voted
ML
2006
ACM
15 years 3 months ago
Seminal: searching for ML type-error messages
We present a new way to generate type-error messages in a polymorphic, implicitly, and strongly typed language (specifically Caml). Our method separates error-message generation ...
Benjamin S. Lerner, Dan Grossman, Craig Chambers