21.2285, Calls: Comp Ling/Canada

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LINGUIST List: Vol-21-2285. Thu May 20 2010. ISSN: 1068 - 4875.

Subject: 21.2285, Calls: Comp Ling/Canada

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1)
Date: 19-May-2010
From: Jussi Karlgren < jussi at sics.se >
Subject: Exploiting Semantic Annotations for Information Retrieval
 

	
-------------------------Message 1 ---------------------------------- 
Date: Thu, 20 May 2010 10:17:16
From: Jussi Karlgren [jussi at sics.se]
Subject: Exploiting Semantic Annotations for Information Retrieval

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Full Title: Exploiting Semantic Annotations for Information Retrieval 
Short Title: ESAIR 2010 

Date: 30-Oct-2010 - 30-Oct-2010
Location: Toronto, Canada 
Contact Person: Jussi Karlgren
Meeting Email: jussi at sics.se
Web Site: http://www.sics.se/events/esair2010/ 

Linguistic Field(s): Computational Linguistics 

Call Deadline: 30-Jun-2010 

Meeting Description:

Third Workshop on Exploiting Semantic Annotations for Information 
Retrieval 
(ESAIR 2010)

CIKM 2010, October 30, Toronto
http://www.sics.se/events/esair2010/

Submissions due: June 30 

Call for Papers 

There is an increasing amount of structure on the Web as a result of
modern Web languages, user tagging and annotation, and emerging robust
NLP tools.  These meaningful, semantic, annotations hold the promise
to significantly enhance information access, by enhancing the depth of
analysis of today's systems.  Currently, we have only started exploring the 
possibilities and only begin to understand how these valuable semantic 
cues can be put to fruitful use.

Unleashing the potential of semantic annotations requires us to transcend 
earlier technologies, by combining the insights of natural language 
processing (NLP) to go beyond bags of words, the insights of databases 
(DB) to use structure efficiently even when aggregating over millions of 
records, the insights of information retrieval (IR) in effective goal-directed 
search and evaluation, and the insights of knowledge management (KM) to 
get grips on the greater whole.

The Workshop will bring together researchers from these different 
disciplines and identify the natural use cases, the barriers to success, and 
work on ways of addressing them:

Use Cases: Are we looking at the right applications?
- What are use cases that make obvious the need for semantic annotation 
of information?  
- What tasks cannot be solved by document retrieval using the traditional 
bag-of-words?  
- What are the prerequisites of successful application?

Annotations: Are we using the right types of data and annotation? 
- Are there crucial differences between author, software, user, and machine 
generated annotations?
- Named entities, temporal expressions on the one hand and sentiment and 
hedging on the other are examples of analyses beyond topic that have 
moved to profitable application.
- Are there other types of annotations that are within our grasp?

Searcher/Queries: Are we considering the right search requests?
- With shallow 2.4 word navigational queries, how much benefit is in 
semantic annotations?
- What expressive power is hidden in the semantic annotation?  
- What is keeping searchers from exploring these powerful search request?

Result Aggregation: Are we using the right types of results?
- Whereas IR focuses almost exclusively at finding individual chunks of 
information, DB naturally focuses on results that combine information and 
produce aggregated results (think of OLAP queries), and KM naturally deal 
with the whole information space.
- How can we fruitfully combine these strengths?

Grand Challenge: Is there a grand challenge for the application of semantic 
annotation? 

Help us shape the future of information access by increasing the depth
of analysis of today's systems: 

- Submit a short 2-page poster or position paper explaining your key wishes 
or key points, 
- and take actively part in the discussion at the Workshop.

The deadline is Wednesday June 30, 2010, further submission details are
on http://www.sics.se/events/esair2010/

Jaap Kamps, University of Amsterdam
Jussi Karlgren, SICS
Ralf Schenkel, MPI/Saarland University





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LINGUIST List: Vol-21-2285