Archive for July 2015

KeLP 1.2.1 released

A new version (1.2.1) of the Java Machine Learning platform KeLP developed within the SAG group has been released.

In this releases, the code for learning relations between pairs of short texts has been introduced, including the approach described in:

Simone Filice, Giovanni Da San Martino and Alessandro Moschitti. Relational Information for Learning from Structured Text Pairs. In Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics, ACL 2015.

In particular this new release includes:

  • TreePairRelTagger: a manipulator that establishes relations between two tree representations (available in the maven project discreterepresentation)
  • 5 new kernels on pairs: released in the maven project standard-kernel

Check out this new version from our repositories. API Javadoc is already available. Your suggestions will be very precious for us, so download and try KeLP 1.2.1!

Ask4Kelp

IIR 2015 proceedings are online

The proceedings of the 6th Italian Information Retrieval Workshop are online. You can download all the workshop papers from the CEUR IIR 2015 system.

Check out our paper “A Compositional Perspective in Convolution Kernels” by Roberto Basili, Paolo Annesi, Giuseppe Castellucci, Danilo Croce.

 

Kelp 1.2.0 released

A new version (1.2.0) of the Java Machine Learning platform KeLP developed within the SAG group has been released.

Two brand new subprojects have been added:

  • graph-representation: it contains DirectedGraphRepresentation for representing direct unweighted graphs
  • graph-kernel: it contains some state-of-the-art graph kernels, like the shortest path kernel and the Weisfeiler-Lehman Subtree Kernel for Graphs

Furthermore the following components are added:

  • StandardizerManipulator: for standardizing the features of the vectors in a dataset
  • KernelMultiplication: a new kernel for combining other kernels applying the multiplication operator
  • ExperimentUtils: a class providing useful methods for performing experiments, like a n-fold cross validation
  • LibsvmDatasetReader: for reading files in LibSVM or LibLinear or SvmLight format

Moreover several demo examples are added in kelp-examples as well as some unit test in kelp-full.

Check out this new version from our repositories. API Javadoc is already available. Your suggestions will be very precious for us, so download and try KeLP 1.2.0!

 

Ask4Kelp