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» Learning Language Semantics from Ambiguous Supervision
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EMNLP
2009
13 years 4 months ago
Reading to Learn: Constructing Features from Semantic Abstracts
Jacob Eisenstein, James Clarke, Dan Goldwasser, Da...

Publication
200views
12 years 2 months ago
Learning Tags from Unsegmented Videos of Multiple Human Actions
Providing methods to support semantic interaction with growing volumes of video data is an increasingly important challenge for data mining. To this end, there has been some succes...
Timothy Hospedales, Shaogang Gong, Tao Xiang
LREC
2008
150views Education» more  LREC 2008»
13 years 8 months ago
Automatic Translation of Biomedical Terms by Supervised Machine Learning
In this paper, we present a simple yet efficient automatic system to translate biomedical terms. It mainly relies on a machine learning approach able to infer rewriting rules from...
Vincent Claveau
ECCV
2008
Springer
14 years 8 months ago
Weakly Supervised Object Localization with Stable Segmentations
Multiple Instance Learning (MIL) provides a framework for training a discriminative classifier from data with ambiguous labels. This framework is well suited for the task of learni...
Carolina Galleguillos, Boris Babenko, Andrew Rabin...
IFIP
2001
Springer
13 years 11 months ago
Translation, Betrayal and Ambiguity in IS Development
This paper uses semiotic theories to model how meaning is constructed during an IS development project. Conventionally, shared meanings among all project stakeholders are regarded...
Jim Underwood