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» Target Word Selection as Proximity in Semantic Space
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EMNLP
2009
13 years 4 months ago
Reverse Engineering of Tree Kernel Feature Spaces
We present a framework to extract the most important features (tree fragments) from a Tree Kernel (TK) space according to their importance in the target kernelbased machine, e.g. ...
Daniele Pighin, Alessandro Moschitti
CVPR
2008
IEEE
14 years 9 months ago
Lost in quantization: Improving particular object retrieval in large scale image databases
The state of the art in visual object retrieval from large databases is achieved by systems that are inspired by text retrieval. A key component of these approaches is that local ...
James Philbin, Ondrej Chum, Michael Isard, Josef S...
CIVR
2009
Springer
130views Image Analysis» more  CIVR 2009»
14 years 1 months ago
Exploring inter-concept relationship with context space for semantic video indexing
Semantic concept detectors are often individually and independently developed. Using peripherally related concepts for leveraging the power of joint detection, which is referred t...
Xiao-Yong Wei, Yu-Gang Jiang, Chong-Wah Ngo
COLING
2010
13 years 1 months ago
Chinese Frame Identification using T-CRF Model
As one of the important tasks of SemEval Evaluation, Frame Semantic Structure Extraction based on the FrameNet has received much more attention in NLP field. This task is often di...
Ru Li, Haijing Liu, Shuanghong Li
NLPRS
2001
Springer
13 years 11 months ago
Named Entity Recognition using Machine Learning Methods and Pattern-Selection Rules
Named Entity recognition, as a task of providing important semantic information, is a critical first step in Information Extraction and QuestionAnswering system. This paper propos...
Choong-Nyoung Seon, Youngjoong Ko, Jeong-Seok Kim,...