Skip to search formSkip to main contentSkip to account menu

String kernel

In machine learning and data mining, a string kernel is a kernel function that operates on strings, i.e. finite sequences of symbols that need not be… 
Wikipedia (opens in a new tab)

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Recently, string kernels have obtained state-of-the-art results in various text classification tasks such as Arabic dialect… 
2015
2015
This paper describes FCICU team participation in SemEval 2015 for Semantic Textual Similarity challenge. Our main contribution is… 
2014
2014
The pre-image problem has to be solved during inference by most structured output predictors. For string kernels, this problem… 
2012
2012
The NLPComp team participated in two TAC-KBP2012 tasks: Regular Entity Linking and Regular Slot Filling. For the entity linking… 
2011
2011
Plagiarism is an academic problem that is caught more and more each year. Common tricks that the cheaters normally use is… 
2010
2010
Even though Support Vector Machines (SVMs) are capable of identifying patterns in high dimensional spaces that are presented by… 
2010
2010
Even though Support Vector Machines (SVMs) are capable of identifying patterns in high dimensional kernel spaces, their… 
Review
2009
Review
2009
The growth in the availability of on-line digital text docum ents has prompted considerable interest in Information Retrieval and… 
2007
2007
Jaakkola and Haussler (1999a) introduced the Fisher kernel (named in honour of Sir Ronald Fisher), thus creating a generic… 
2007
2007
Measuring structural similarity between XML documents has become a key component in various applications, including XML mining…