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» Learning Language Semantics from Ambiguous Supervision
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ICLP
2009
Springer
15 years 10 months ago
Generative Modeling by PRISM
PRISM is a probabilistic extension of Prolog. It is a high level language for probabilistic modeling capable of learning statistical parameters from observed data. After reviewing ...
Taisuke Sato
LREC
2008
88views Education» more  LREC 2008»
14 years 11 months ago
A Trainable Tokenizer, solution for multilingual texts and compound expression tokenization
Tokenization is one of the initial steps done for almost any text processing task. It is not particularly recognized as a challenging task for English monolingual systems but it r...
Oana Frunza
ESWS
2005
Springer
15 years 3 months ago
AquaLog: An Ontology-Portable Question Answering System for the Semantic Web
As semantic markup becomes ubiquitous, it will become important to be able to ask queries and obtain answers, using natural language (NL) expressions, rather than the keyword-based...
Vanessa Lopez, Michele Pasin, Enrico Motta
CVPR
2008
IEEE
15 years 11 months ago
Utilizing semantic word similarity measures for video retrieval
This is a high level computer vision paper, which employs concepts from Natural Language Understanding in solving the video retrieval problem. Our main contribution is the utiliza...
Yusuf Aytar, Mubarak Shah, Jiebo Luo
IJET
2006
112views more  IJET 2006»
14 years 9 months ago
Personalized E-Learning in the Semantic Web
: The challenge of the semantic web is the provision of distributed information with well defined meaning, understandable for different parties. Particularly, applications should b...
Nicola Henze