it.uniroma2.sag.kelp.examples.demo.qc

Class QuestionClassification

java.lang.Object

it.uniroma2.sag.kelp.examples.demo.qc.QuestionClassification

public class QuestionClassification
extends Object

This class shows how to use Kelp to build a Question classifier. In the example, several kernels can be used to build your own classifier.

The following kernels have been implemented:
- bow: a Linear Kernel applied to a boolean Bag-of-Word vector, where each boolean dimension indicates the presence of the corresponding word in the question.
- stk: a Subset Tree Kernel [Moschitti, 2006] over the Grammatical Relation Centered Tree (GRCT) representation [Croce et al(2011)]
- ptk: a Partial Tree Kernel [Moschitti, 2006] over the Grammatical Relation Centered Tree (GRCT) representation [Croce et al(2011)]
- sptk: a Smoothed Partial Tree Kernel over the Lexically Centered Tree (LCT) representation [Croce et al(2011)]
- csptk: Compositionally Smoothed Partial Tree Kernel over the Compositional Lexically Centered Tree (CLCT) representation [Annesi et al(2014)]
A description of the tree representations can be found in [Croce et al(2011)] and [Annesi et al(2014)].


References:
- [Moschitti, 2006] Alessandro Moschitti. Efficient convolution kernels for dependency and constituent syntactic trees. In proceeding of European Conference on Machine Learning (ECML) (2006)

- [Croce et al(2011)] Croce D., Moschitti A., Basili R. (2011) Structured lexical similarity via convolution kernels on dependency trees. In: Proceedings of EMNLP, Edinburgh, Scotland.

- [Annesi et al(2014)] Paolo Annesi, Danilo Croce, and Roberto Basili. 2014. Semantic compositionality in tree kernels. In Proc. of CIKM 2014, pages 1029–1038, New York, NY, USA. ACM

Author:

Danilo Croce, Simone Filice, Giuseppe Castellucci

Constructor Summary

Constructors

Constructor and Description
QuestionClassification()

Method Summary

Methods

Modifier and Type	Method and Description
static Kernel	getQCKernelFunction(SimpleDataset trainingSet, SimpleDataset testSet, String kernelId) Get one of the kernel functions used in the Question Classification examples.
static void	main(String[] args)

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

QuestionClassification

public QuestionClassification()

Method Detail

main

public static void main(String[] args)

getQCKernelFunction

public static Kernel getQCKernelFunction(SimpleDataset trainingSet,
                         SimpleDataset testSet,
                         String kernelId)
                                  throws IOException

Get one of the kernel functions used in the Question Classification examples.

Parameters:

trainingSet - The training dataset (needed in some optimizations)

testSet - The test dataset (needed in some optimizations)

kernelId - Specifies the desired kernel. One of the following parameters should be set:
- bow: a Linear Kernel applied to a boolean Bag-of-Word vector;
- stk: a Subset Tree Kernel;
- ptk: a Partial Tree Kernel;
- sptk: a Smoothed Partial Tree Kernel;
- csptk: Compositionally Smoothed Partial Tree Kernel.
For more details about these kernel, see the class description.

Returns:

the kernel function

Throws:

IOException