Témata prací (Výběr práce)Témata prací (Výběr práce)(verze: 368)
Detail práce
   Přihlásit přes CAS
Deep analysis in IQA: evaluation on real users dialogues.
Název práce v češtině:
Název v anglickém jazyce: Deep analysis in IQA: evaluation on real users dialogues.
Akademický rok vypsání: 2008/2009
Typ práce: diplomová práce
Jazyk práce: angličtina
Ústav: Ústav formální a aplikované lingvistiky (32-UFAL)
Vedoucí / školitel: doc. RNDr. Vladislav Kuboň, Ph.D.
Řešitel: skrytý - zadáno a potvrzeno stud. odd.
Datum přihlášení: 17.11.2008
Datum zadání: 21.11.2008
Datum a čas obhajoby: 14.09.2009 00:00
Datum odevzdání elektronické podoby:14.09.2009
Datum proběhlé obhajoby: 14.09.2009
Oponenti: PhDr. Petra Hoffmannová
 
 
 
Zásady pro vypracování
Question Answering (QA) systems have reached a high level of
performance within the scenario originally described in the TREC
competitions, and are ready to tackle new challenges as shown by the
new tracks proposed in recent instantiations [4]. To answer these
challenges, attention is moving towards adding semantic information at
different levels. Our work is about context modeling for Interactive
Question Answering (IQA) systems [2,3]. We will take as a case study
"BoB", the chatterbot developed at Free University of Bozen-Bolzano. The
current system use a statistical approach based on regression
models. [1]

The task of the thesis is to conduct evaluation experiments with data collected by dialogues with
real users via the on-line beta-version of BoB [5]. Based on the
result of this analysis, the thesis should propose suggestions of formal
semantics and deep analysis modules to be integrated in the current
system architecture so to overcome the identified limitations. In
particular, attention will be on the role of anaphora, ellipses, as
well as the need of background knowledge for understanding Follow up
questions.
Seznam odborné literatury
[1] Raffaella Bernardi and Manuel Kirschner Context Modeling for IQA:
The Role of Tasks and Entities In Proceedings of KRAQ.

[2] Chai, Joyce Y. and Rong Jin. 2004. Discourse structure
for context question answering. In Proc. of the HLT-
NAACL 2004 Workshop on Pragmatics in Question
Answering, Boston, MA.

[3] van Schooten, Boris, R. op den Akker, R. Rosset, O. Galibert, A.
Max, and G. Illouz. forthcoming. Follow-up question handling in the IMIX
and Ritel systems: A comparative study. Journal of Natural Language
Engineering.

[4] Voorhees, Ellen M. 2004. Overview of the TREC 2004 question
answering track. In Proc. of the 13th Text REtrieval Conference.

[5] BoB: http://www.unibz.it/library/askbob/
Předběžná náplň práce
The task of the thesis is to conduct evaluation experiments with data collected by dialogues with
real users via the on-line beta-version of BoB [5]. Based on the
result of this analysis, the thesis should propose suggestions of formal
semantics and deep analysis modules to be integrated in the current
system architecture so to overcome the identified limitations. In
particular, attention will be on the role of anaphora, ellipses, as
well as the need of background knowledge for understanding Follow up
questions.
Předběžná náplň práce v anglickém jazyce
The task of the thesis is to conduct evaluation experiments with data collected by dialogues with
real users via the on-line beta-version of BoB [5]. Based on the
result of this analysis, the thesis should propose suggestions of formal
semantics and deep analysis modules to be integrated in the current
system architecture so to overcome the identified limitations. In
particular, attention will be on the role of anaphora, ellipses, as
well as the need of background knowledge for understanding Follow up
questions.
 
Univerzita Karlova | Informační systém UK