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Aνακοίνωση Παρουσίασης Διπλωματικής Εργασίας Παλογιαννίδη Ελισάβετ Σχολής ΗΜΜΥ

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• Συντάχθηκε 09-07-2013 15:02 από Eleni Stamataki

  Email συντάκτη: estamataki<στο>tuc.gr

  Ενημερώθηκε: -

  Ιδιότητα: σύνταξη/αποχώρηση υπάλληλος.
  Σχολή Ηλεκτρονικών Μηχανικών και Μηχανικών Υπολογιστών
  Πρόγραμμα Προπτυχιακών Σπουδών
  
  ΠΑΡΟΥΣΙΑΣΗ ΔΙΠΛΩΜΑΤΙΚΗΣ ΕΡΓΑΣΙΑΣ
  
  Παλογιαννίδη Ελισάβετ
  
  με θέμα
  
  Using Crowdsourcing for Grammar Induction with application to Spoken Dialogue Systems
  
  Παρασκευή 12 Ιουλίου 2013, 12μμ
  Αίθουσα 145.Π42, Κτίριο Επιστημών, Πολυτεχνειούπολη
  
  Εξεταστική Επιτροπή
  
  Επίκουρος Καθηγητής Πολυχρόνης Κουτσάκης (επιβλέπων)
  Αναπληρωτής Καθηγητής Αλέξανδρος Ποταμιάνος
  Καθηγητής Ευριπίδης Πετράκης
  
  
  
  
  Abstract
  
  Spoken Dialogue Systems are becoming even more common in daily life, supporting
  information access to the masses in a plethora of domains, such as flight information,
  restaurant guide, and others. At early stages of the development of a Spoken Dialogue
  System, there is a chicken-and-egg problem, whereby good quality user data cannot be
  obtained without a reasonably robust system. Thus, many other ways of mining good
  quality data for such systems, are used during the development phase.
  The data are necessary during the development phase, because they can be used in
  data-driven grammar induction algorithms, in order to introduce new rules to the gram-
  mars that are incorporated to the system for understanding what the users need. This
  is important, because the performance of Spoken Dialogue Systems, is influenced by the
  variety of grammar rules that constitute the speech understanding grammar.
  One novel way for data acquisition is a newly method, called Crowdsourcing. According
  to its definition crowdsourcing is “the act of taking a job traditionally performed by a
  designated agent and outsourcing it to an undefined, generally large group of people in
  the form of an open call”. In crowdsourcing jobs, a large group of people give answers to
  tasks that are easy for humans but difficult for computers, in exchange for a small amount
  of money.
  In this thesis the Crowdsourcing method is used, for gathering appropriate data for
  the induction of new grammar rules, relevant to travel flight domain. The Crowdsourcing
  method includes the design of various tasks, that the crowd interacts with and provides
  the data. After the data acquisition, numerous metrics are implemented, in an attempt
  to quantify their quality and find out whether we achieved our goal.
  

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  Συνημμένα:

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