Paloma Moreda Pozo

Assignment of Semantic Roles Based on Word Sense Disambiguation

In order to achieve high precision Question Answering Systems or Information Retrieval Systems, the incorporation of Natural Language Processing techniques are needed. For this reason, in this paper a method to determine the semantic role for a constituent is presented. The goal of this is to integrate the method in a Question Answering System and in an Information Retrieval System. So, several experiments about the Semantic Role method, named SemRol, are shown.

Mining Lexical Variants from Microblogs: An Unsupervised Multilingual Approach

User-generated content has become a recurrent resource for NLP tools and applications, hence many efforts have been made lately in order to handle the noise present in short social media texts. The use of normalisation techniques has been proven useful for identifying and replacing lexical variants on some of the most informal genres such as microblogs. But annotated data is needed in order to train and evaluate these systems, which usually involves a costly process. Until now, most of these approaches have been focused on English and they were not taking into account demographic variables such as the user location and gender. In this paper we describe the methodology used for automatically mining a corpus of variant and normalisation pairs from English and Spanish tweets.