Skip to ContentSkip to Navigation
About usNews and EventsNews articles

Parse selection with support vector machines

18 February 2010

Promotie: dhr. F. Dellatorre Borges, 13.15 uur, Academiegebouw, Broerstraat 5, Groningen
Proefschrift: Parse selection with support vector machines
Promotor(s): prof.dr.ir. J. Nerbonne
Faculteit: Letteren
Contact: Francisco Dellatorre Borges, tel. 010-281 80 97 (werk), francisco.borges@gmail.com

Parse selection with support vector machines

The goal of Dellatorre Borges his research was to apply SVMs (Support Vector Machines) to the problem of parse selection. More specifically, to the parse trees produced by Alpino, and to compare its performance with the Alpino’s disambiguation component, based on Maximum Entropy. The results show that these models could not outperform MaxEnt.

Last modified:15 September 2017 3.40 p.m.
printView this page in: Nederlands

More news

  • 11 July 2019

    Major companies’ annual reports too vague about climate impact

    Many major Dutch companies publish extensive information about climate impact in their annual reports. However, very few companies provide concrete, detailed information about their own CO2 emissions, the impact of climate change on their business...

  • 08 July 2019

    UG permanently closes Yantai project

    The University of Groningen (UG) has permanently closed the project aimed at creating a branch campus in Yantai. Discussions were held with China Agricultural University, the city of Yantai and the Province of Shandong.

  • 03 July 2019

    Cheap train tickets boost public transport use but reduce customer satisfaction

    Offers of cheap single train tickets through retailers such as Kruidvat or Etos have a positive impact on the number of kilometres travelled by rail. This impact is much bigger than that of more general TV, newspaper or magazine advertising. However,...