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» Unsupervised Semantic Parsing
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ECCV
2010
Springer
13 years 10 months ago
Semantic Segmentation of Urban Scenes Using Dense Depth Maps
In this paper we present a framework for semantic scene parsing and object recognition based on dense depth maps. Five viewindependent 3D features that vary with object class are e...
Chenxi Zhang, Liang Wang, Ruigang Yang
JDCTA
2010
152views more  JDCTA 2010»
13 years 4 months ago
A Semantic Approach to Extract the Final Answer in SBUQA Question Answering System
In this paper we introduce the semantic approach of the answer extraction component of a question answering system called SBUQA. The answer extraction component gets the retrieved...
Mehrnoush Shamsfard, Mahsa Arab Yarmohammadi
CICLING
2010
Springer
14 years 4 months ago
Multi-view Bootstrapping for Relation Extraction by Exploring Web Features and Linguistic Features
Binary semantic relation extraction from Wikipedia is particularly useful for various NLP and Web applications. Currently frequent pattern miningbased methods and syntactic analysi...
Yulan Yan, Haibo Li, Yutaka Matsuo, Mitsuru Ishizu...
COLING
1990
13 years 10 months ago
Information Extraction and Semantic Constraints
We consider the problem of extracting specified types of information from natural language text. To properly analyze the text, we wish to apply semantic (selectional) constraints ...
Ralph Grishman, John Sterling
ICPR
2006
IEEE
14 years 10 months ago
Latent Layout Analysis for Discovering Objects in Images
Latent Layout Analysis (LLA) is a novel unsupervised learning technique to discover objects in unseen images using a set of un-annotated training images. LLA defines a generative ...
David Liu, Datong Chen, Tsuhan Chen