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Thesis topic proposal
 
Gábor Prószéky
Human language technologies, artificial understanding

THESIS TOPIC PROPOSAL

Institute: Pázmány Péter Catholic University, Budapest
computer sciences
Roska Tamás Doctoral School of Sciences and Technology

Thesis supervisor: Gábor Prószéky
Web address (URL): https://itk.ppke.hu/oktatas/doktori-iskola-phd
Location of studies (in Hungarian): Pázmány Péter Catholic University
Abbreviation of location of studies: PPKE


Description of the research topic:

There are various levels of the analysis of texts written in human languages. Beyond determining the structure of words and sentences, the understanding and representation of meaning is also important. Algorithmic solutions to this problem achieve improving results. The goal of this research topic is to define algorithms that are known from research on human language comprehension and that are able to extract information from texts answering questions like when and how what happened to whom, and how did the writer feel about it, etc. Furthermore, these questions do not only appear at the level of sentences, but a wider context needs to be taken into account as well.

Required language skills: English
Recommended language skills (in Hungarian): English
Number of students who can be accepted: 1

Deadline for application: 2017-05-31

 
All rights reserved © 2007, Hungarian Doctoral Council. Doctoral Council registration number at commissioner for data protection: 02003/0001. Program version: 1.2357 ( 2017. V. 15. )