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» Segmenting Documents using Multiple Lexical Features
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99
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ACL
2012
13 years 2 months ago
Coreference Semantics from Web Features
To address semantic ambiguities in coreference resolution, we use Web n-gram features that capture a range of world knowledge in a diffuse but robust way. Specifically, we exploi...
Mohit Bansal, Dan Klein
88
Voted
SMA
2006
ACM
225views Solid Modeling» more  SMA 2006»
15 years 5 months ago
Feature sensitive mesh segmentation
Segmenting meshes into natural regions is useful for model understanding and many practical applications. In this paper, we present a novel, automatic algorithm for segmenting me...
Yu-Kun Lai, Qian-Yi Zhou, Shi-Min Hu, Ralph R. Mar...
NAACL
2003
15 years 1 months ago
Feature-Rich Part-of-Speech Tagging with a Cyclic Dependency Network
We present a new part-of-speech tagger that demonstrates the following ideas: (i) explicit use of both preceding and following tag contexts via a dependency network representation...
Kristina Toutanova, Dan Klein, Christopher D. Mann...
ICDAR
2009
IEEE
15 years 6 months ago
Scalable Feature Extraction from Noisy Documents
We cope with the metadata recognition in layoutoriented documents. We address the problem as a classification task and propose a method for automatic extraction of relevant featu...
Loïc Lecerf, Boris Chidlovskii
CIVR
2004
Springer
194views Image Analysis» more  CIVR 2004»
15 years 5 months ago
A Test-Bed for Region-Based Image Retrieval Using Multiple Segmentation Algorithms and the MPEG-7 eXperimentation Model: The Sch
The aim of the SCHEMA Network of Excellence is to bring together a critical mass of universities, research centers, industrial partners and end users, in order to design a referenc...
Vasileios Mezaris, Haralambos Doulaverakis, Raul M...