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» Boilerplate Detection using Shallow Text Features
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102
Voted
WSDM
2010
ACM
215views Data Mining» more  WSDM 2010»
15 years 12 months ago
Boilerplate Detection using Shallow Text Features
In addition to the actual content Web pages consist of navigational elements, templates, and advertisements. This boilerplate text typically is not related to the main content, ma...
Christian Kohlschütter, Peter Fankhauser, Wol...
137
Voted
ACL
2009
15 years 3 days ago
Finding Hedges by Chasing Weasels: Hedge Detection Using Wikipedia Tags and Shallow Linguistic Features
We investigate the automatic detection of sentences containing linguistic hedges using corpus statistics and syntactic patterns. We take Wikipedia as an already annotated corpus u...
Viola Ganter, Michael Strube
114
Voted
ICDM
2003
IEEE
113views Data Mining» more  ICDM 2003»
15 years 7 months ago
Semantic Role Parsing: Adding Semantic Structure to Unstructured Text
There is a ever-growing need to add structure in the form of semantic markup to the huge amounts of unstructured text data now available. We present the technique of shallow seman...
Sameer Pradhan, Kadri Hacioglu, Wayne Ward, James ...
148
Voted
KCAP
2011
ACM
14 years 5 months ago
An analysis of open information extraction based on semantic role labeling
Open Information Extraction extracts relations from text without requiring a pre-specified domain or vocabulary. While existing techniques have used only shallow syntactic featur...
Janara Christensen, Mausam, Stephen Soderland, Ore...
102
Voted
EMNLP
2007
15 years 4 months ago
A Comparative Evaluation of Deep and Shallow Approaches to the Automatic Detection of Common Grammatical Errors
This paper compares a deep and a shallow processing approach to the problem of classifying a sentence as grammatically wellformed or ill-formed. The deep processing approach uses ...
Joachim Wagner, Jennifer Foster, Josef van Genabit...