OntoSeg: a Novel Approach to Text Segmentation using Ontological Similarity

Autor: Bayomi, Mostafa, Levacher, Killian, Ghorab, M. Rami, Lawless, Séamus

Text segmentation (TS) aims at dividing long text into coherent segments which reflect the subtopic structure of the text. It is beneficial to many natural language processing tasks, such as Information Retrieval (IR) and document summarisation. Curr

Externí odkaz: http://arxiv.org/abs/1511.08411

Text Summarization and Speech Synthesis for the Automated Generation of Personalized Audio Presentations.

Autor: Lawless, Séamus, Lavin, Peter, Bayomi, Mostafa, Cabral, João P., Ghorab, M. Rami

Publikováno v: Natural Language Processing & Information Systems: 20th International Conference on Applications of Natural Language to Information Systems, NLDB 2015 Passau, Germany, June 17-19, 2015 Proceedings; 2015, p307-320, 14p

Towards Personalized Multilingual Information Access - Exploring the Browsing and Search Behavior of Multilingual Users.

Autor: Steichen, Ben, Ghorab, M. Rami, O'Connor, Alexander, Lawless, Séamus, Wade, Vincent

Publikováno v: User Modeling, Adaptation & Personalization (9783319087856); 2014, p435-446, 12p

Towards multilingual user models for Personalized Multilingual Information Retrieval.

Autor: Ghorab, M. Rami, Zhou, Dong, Steichen, Ben, Wade, Vincent

Publikováno v: Proceedings of the First Workshop: Personalised Multilingual Hypertext Retrieval; Jun2011, p42-49, 8p

Multilingual vs. Monolingual User Models for Personalized Multilingual Information Retrieval.

Autor: Ghorab, M. Rami, Lawless, Séamus, O'Connor, Alexander, Zhou, Dong, Wade, Vincent

Publikováno v: User Modeling, Adaptation & Personalization (9783642388439); 2013, p356-358, 3p