29.2308, Support: German; Computational Linguistics: PhD, University of Zurich

[The LINGUIST List]

LINGUIST List: Vol-29-2308. Tue May 29 2018. ISSN: 1069 - 4875.

Subject: 29.2308, Support: German; Computational Linguistics: PhD, University of Zurich

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Date: Tue, 29 May 2018 12:48:27
From: Manfred Klenner [klenner at cl.uzh.ch]
Subject: German; Computational Linguistics: PhD, University of Zurich, Switzerland

 Institution/Organization: University of Zurich 
Department: Computational Linguistics 

Level: PhD 

Duties: Research
 
Specialty Areas: Computational Linguistics 
 
Required Language(s): German (deu)

Description:

At the Institute of Computational Linguistics of the University of Zurich, a
doctoral position in a project funded by the Swiss National Science Foundation
entitled ''Sentiment inference: quantification and perspectivation'' is
available. Project duration is 4 years.

The aim of the project is a model of the sentiment inference for German, in
which a distinction is made between the writer, the text and the reader
perspective. Sentiment inference involves the prediction of attitudes, e.g.
that of the writer towards the entities (actors, topics) of his/her
statements. These statements are not necessarily explicit evaluations (as in
product reviews, for example), but statements concerning real situations, i.
they have a truth commitment. This establishes the text perspective. From
this, further attitudes might become evident, e.g. how the actors stand
towards each other, for example, that one actor criticizes the other and
therefore that there is a opponent relation. Calculating the factuality of a
statement is an important part of the model because factuality licenses
sentiment inference.

Verbs, nouns and adjectives form the basis of sentiment inference. A German
lexical resource is to be created, thus, a good command of German is necessary
in order to fulfill the requirements of this PhD position. The applicant also
should have a master in Computational Linguistics. Since a couple of subtasks
require the application of Machine Learning, the successful candidate should
have some proficiency in Machine Learning techniques as well.

The aim is to realize the project plan, which at the same time sets the
goalposts of a dissertation project. This should enable the applicant to
obtain a PhD degree within the four project years. It is expected that the
successful candidate presents the scientific results of the project or
dissertation at international workshops and conferences.

Please send applications by email to the contact information provided below. 

The position can be filled immediately. 
 

Application Deadline: 29-Oct-2018 

Mailing Address for Applications:
	Attn: Manfred Klenner 
	Andreasstrasse 15 
	Zurich 8050 
	Switzerland 
	
Contact Information: 
	Manfred Klenner 
	klenner at cl.uzh.ch  


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