Archive for February 2016

SAG’s KeLP team ranked first at the SemEval 2016 Community Question Answering Task

The Kelp group, mainly composed of people from the SAG laboratories (Simone Filice, Danilo Croce and Roberto Basili) ranked first at the subtask A within the SemEval 2016 Task 3: Community Question Answering!

Moreover the Kelp group ranked third and second with respect to the Subtask B and Subtask C, respectively (among up to 12 groups).

The list of participants and the detailed results can be downloaded at this link.

 

KeLP 2.0.2 released!

A new version of the Java Machine Learning Framework KeLP has been released.

This new release (2.0.2) includes:

  • the Nystrom method for large scale kernel learning, following the methodology reported in the recently accepted ECIR 2016 paper.
  • New examples for the usage of the Smoothed Partial Tree Kernel and the Compositionally Smoothed Partial Tree Kernel.
  • Minor bug fixes.

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 2.0.2!