22.1979, Calls: Computational Linguistics/Bulgaria

Sat May 7 15:50:00 UTC 2011

LINGUIST List: Vol-22-1979. Sat May 07 2011. ISSN: 1068 - 4875.

Subject: 22.1979, Calls: Computational Linguistics/Bulgaria

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1)
Date: 05-May-2011
From: Preslav Nakov [nakov at comp.nus.edu.sg]
Subject: Workshop on Information Extraction and Knowledge Acquisition

-------------------------Message 1 ---------------------------------- 
Date: Sat, 07 May 2011 11:48:55
From: Preslav Nakov [nakov at comp.nus.edu.sg]
Subject: Workshop on Information Extraction and Knowledge Acquisition

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Full Title: Workshop on Information Extraction and Knowledge Acquisition 
Short Title: IEKA'2011 

Date: 15-Sep-2011 - 16-Sep-2011
Location: Hissar, Bulgaria 
Contact Person: Preslav Nakov
Meeting Email: nakov at comp.nus.edu.sg
Web Site: http://sites.google.com/site/ranlpieka/ 

Linguistic Field(s): Computational Linguistics 

Call Deadline: 17-Jun-2011 

Meeting Description:

Workshop on Information Extraction and Knowledge Acquisition
15 or 16 September 2011
at RANLP'2009
http://sites.google.com/site/ranlpieka/

Until a decade ago, the fields of information extractions (IE) and
knowledge acquisition (KA) were limited to identifying and extracting named
entities, semantic and ontological relations, events, templates, and facts
in relatively small text corpora using a small variety of external
resources such as gazetteers, thesauri, and lexical hierarchies.

Today everything has changed. The size of corpora has grown dramatically:
using Gigaword-scale data is common, and it is almost standard to use the
Web, which contains quadrillions of words, or at least the Web 1T 5-grams
(Google n-gram corpus). More importantly, new types of communication have
emerged, such as chats, blogs and, in the last 2-3 years, Twitter, whose
informal language poses many challenges to automatic IE and KA, yet they
are becoming increasingly important, e.g., for learning customer opinions
on various products and services. Social network analysis is another
emerging topic, where data is naturally much more interconnected than in
the rest of the Web.

Workshop Organizers:

Preslav Nakov, National University of Singapore
Zornitsa Kozareva, University of Southern California
Kuzman Ganchev, Google Inc.
Jerry Hobbs, University of Southern California

Program Committee:

Javier Artiles, Queens College
Kalina Bontcheva, University of Sheffield
Razvan Bunescu, Ohio State University
Hamish Cunningham, University of Sheffield
Mona Diab, Columbia University
Greg Druck, University of Massachusetts Amherst
Georgi Georgiev, Ontotext AD
Filip Ginter, University of Turku
Jennifer Gillenwater, University of Pennsylvania
Andrew Gordon, USC/ICT
Joao Graca, University of Pennsylvania
Chikara Hashimoto, NICT
Nitin Indurkhya, eBay
Hagen Fürstenau, Saarland University
Alex Kulesza, University of Pennsylvania
Maussam, University of Washington
Su Nam Kim, The University of Melbourne
Alexandre Klementiev, Johns Hopkins University
Ana-Maria Popescu, Yahoo!
Ryan McDonald, Google
Andres Montoyo, University of Alicante
Rafael Munoz, University of Alicante
Roberto Navigli, University of Rome
Manuel Palomar, University of Alicante
Siddharth Patwardhan, IBM
Marco Pennacchiotti, Yahoo!
Simone Paolo Ponzetto, University of Heidelberg
Sampo Pyysalo, University of Tokyo
Sujith Ravi, ISI, University of Southern California
Ellen Riloff, University of Utah
Alan Ritter, University of Washington
Paolo Rosso, University of Valencia
Kenji Sagae, USC/ICT
Thamar Solorio, University of Alabama
Ralf Steinberger, JRC
Mihai Surdeanu, Stanford University
Idan Szpektor, Yahoo Research
Valentin Tablan, University of Sheffield
Jörg Tiedemann, University of Uppsala
Ivan Titov, Saarland University
Aline Villavicencio, Federal University of Rio Grande do Sul
Alexander Yates, Temple University 

Call for Papers:

Topics of Interest:

- Knowledge discovery and mining on the Web
- Social networks and folksonomy analysis
- Ontology population and induction
- Cross-lingual and multi-lingual approaches to IE and KA
- Using crowd-sourcing tools, such as Mechanical Turk, for IE and KA
- IE and KA and the Semantic Web
- Multi-lingual named entity recognition and disambiguation
- Event extraction
- Paraphrase extraction
- Temporal data mining
- Using resources such as Wikipedia, DBpedia, Freebase
- IE and KA from informal text: chats, instant messages, blogs, Twitter

We invite long (8) and short (4) papers. Accepted short papers will be
presented either as short oral presentations or as posters.

More information on abstract guidelines can be found at
http://sites.google.com/site/ranlpieka/submission-guidelines

Important Dates:

Submission deadline: June 17, 2011
Notification of acceptance: July 25, 2011
Camera-ready copy due from authors: August 22, 2011
Workshop: September 15 or 16, 2011

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