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» Unsupervised Natural Language Processing Using Graph Models
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EACL
2006
ACL Anthology
13 years 9 months ago
Weakly Supervised Approaches for Ontology Population
We present a weakly supervised approach to automatic Ontology Population from text and compare it with other two unsupervised approaches. In our experiments we populate a part of ...
Hristo Tanev, Bernardo Magnini
EMNLP
2009
13 years 5 months ago
Unsupervised Tokenization for Machine Translation
Training a statistical machine translation starts with tokenizing a parallel corpus. Some languages such as Chinese do not incorporate spacing in their writing system, which creat...
Tagyoung Chung, Daniel Gildea
WER
2004
Springer
14 years 1 months ago
Integrating Natural Language Oriented Requirements Models into MDA
MDA is a software development framework where the core is a set of automatic transformation of models. One of these models, the CIM, is used to define the business process model. T...
Maria Carmen Leonardi, María Virginia Mauco
MODELS
2010
Springer
13 years 6 months ago
Transforming Process Models: Executable Rewrite Rules versus a Formalized Java Program
Abstract. In the business process management community, transformations for process models are usually programmed using imperative languages (such as Java). The underlying mapping ...
Pieter Van Gorp, Rik Eshuis
WWW
2009
ACM
14 years 8 months ago
Unsupervised query categorization using automatically-built concept graphs
Automatic categorization of user queries is an important component of general purpose (Web) search engines, particularly for triggering rich, query-specific content and sponsored ...
Eustache Diemert, Gilles Vandelle