Reputation 2012 - LREC 2012 Workshop on Language Engineering for Online Reputation Management
Topics/Call fo Papers
LREC 2012 Workshop on Language Engineering for Online Reputation Management
Second Call for Papers and Position Statements
** deadline: 15 February 2012 **
The LREC 2012 workshop on Language Engineering for Online Reputation
Management intends to bring together the Language Engineering community
(including researchers and developers) with representatives from the Online
Reputation Management industry, a fast-growing sector which poses
challenging demands to text mining technologies. The goal is to establish a
five-year roadmap on the topic, focusing on what language technologies are
required to get there in terms of resources, algorithms and applications.
Online Reputation Management deals with the image that online media project
about individuals and organizations. The growing relevance of social media
and the speed at which facts and opinions travel in microblogging networks
make online reputation an essential part of a company's public relations.
While traditional reputation analysis was based mostly on manual analysis
(clipping from media, surveys, etc.), the key value from online media comes
from the ability of processing, understanding and aggregating potentially
huge streams of facts and opinions about a company or
individual. Information to be mined includes answers to questions such as:
What is the general state of opinion about a company/individual in online
media? What are its perceived strengths and weaknesses, as compared to its
peers/competitors? How is the company positioned with respect to its
strategic market? Can incoming threats to its reputation be detected early
enough to be neutralized before they effectively affect reputation?
In this context, Natural Language Processing plays a key, enabling role, and
we are already witnessing an unprecedented demand for text mining software
in this area. Note that, while the area of opinion mining has made
significant advances in the last few years, most tangible progress has been
focused on products. However, mining and understanding opinions about
companies and individuals is, in general, a much harder and less understood
problem.
The aim of this workshop is to bring together the Language Engineering
community (including researchers and developers) with representatives from
the Online Reputation Management industry, with the ultimate goal of
establishing a five-year roadmap on the topic, and a description of the
language technologies required to get there in terms of resources,
algorithms and applications.
With this purpose in mind, the workshop will welcome both research papers
and position statements from industry and academia. The agenda for the event
will include both presentations (from accepted submissions and selected
invited speakers) and a collaborative discussion to sketch a roadmap for
Language Engineering in Online Reputation Management. The EU project
Limosine (starting November 2011) will be used as a funding instrument to
ensure that participation is representative and key players are engaged in
the workshop. The workshop is held in coordination with the RepLab
initiative, a CLEF 2012 evaluation initiative for systems dealing with
Online Reputation Management challenges.
We welcome position statements and short papers on any topic relevant to
the workshop topic, including (but not limited to):
- Topic detection and tracking
- Trend detection and prediction
- Opinion mining and sentiment analysis; negation and modality detection.
- Entity-oriented search and mining: entity ranking, entity profiling,
name disambiguation, etc.
- Language processing for user-generated content, micro-text
understanding, and social media analysis.
- Real time language processing
Position statements should include contact details and a short (one page)
description of the author's take on the (primarily technical) challenges to
be faced in the Online Reputation Management field in the next five years.
Short papers should have a maximum length of four pages, identify the
authors (reviewing will not be blind) and may describe work in
progress. Papers that include a comparative assessment of current commercial
applications and/or research prototypes are particularly welcome.
Submissions should be uploaded here:
https://www.softconf.com/lrec2012/Reputation2012/
Important dates
15 February: Deadline for position statements and short papers
15 March: Acceptance notifications
1 April: Camera-ready versions
26 May: Workshop at LREC 2012
Workshop Organizers
Adolfo Corujo (Llorente & Cuenca, Spain)
Julio Gonzalo (UNED, Spain)
Edgar Meij (University of Amsterdam, The Netherlands)
Maarten de Rijke (University of Amsterdam, The Netherlands)
RepLab Steering Committee
Eugene Agichtein, Emory University, USA
Alexandra Balahur, JRC, Italy
Krisztian Balog, NTNU, Norway
Raymond Franz, Trendlight, Netherlands
Donna Harman, NIST, USA
Eduard Hovy, ISI/USC, USA
Radu Jurca, Google, Switzerland
Jussi Karlgren, Gavagai/SICS, Sweden
Mounia Lalmas, Yahoo! Research, Spain
Jochen Leidner, Thomson Reuters, Switzerland
Bing Liu, U. Illinois at Chicago, USA
Alessandro Moschitti, U. Trento, Italy
Miles Osborne, U. Edinburgh, UK
Hans Uszkoreit, U. Saarbrücken, Germany
James Shanahan, Boston U., USA
Belle Tseng, Yahoo!, USA
Julio Villena, Daedalus/U. Carlos III, Spain
Workshop URL: http://www.limosine-project.eu/events/lrec2012
Second Call for Papers and Position Statements
** deadline: 15 February 2012 **
The LREC 2012 workshop on Language Engineering for Online Reputation
Management intends to bring together the Language Engineering community
(including researchers and developers) with representatives from the Online
Reputation Management industry, a fast-growing sector which poses
challenging demands to text mining technologies. The goal is to establish a
five-year roadmap on the topic, focusing on what language technologies are
required to get there in terms of resources, algorithms and applications.
Online Reputation Management deals with the image that online media project
about individuals and organizations. The growing relevance of social media
and the speed at which facts and opinions travel in microblogging networks
make online reputation an essential part of a company's public relations.
While traditional reputation analysis was based mostly on manual analysis
(clipping from media, surveys, etc.), the key value from online media comes
from the ability of processing, understanding and aggregating potentially
huge streams of facts and opinions about a company or
individual. Information to be mined includes answers to questions such as:
What is the general state of opinion about a company/individual in online
media? What are its perceived strengths and weaknesses, as compared to its
peers/competitors? How is the company positioned with respect to its
strategic market? Can incoming threats to its reputation be detected early
enough to be neutralized before they effectively affect reputation?
In this context, Natural Language Processing plays a key, enabling role, and
we are already witnessing an unprecedented demand for text mining software
in this area. Note that, while the area of opinion mining has made
significant advances in the last few years, most tangible progress has been
focused on products. However, mining and understanding opinions about
companies and individuals is, in general, a much harder and less understood
problem.
The aim of this workshop is to bring together the Language Engineering
community (including researchers and developers) with representatives from
the Online Reputation Management industry, with the ultimate goal of
establishing a five-year roadmap on the topic, and a description of the
language technologies required to get there in terms of resources,
algorithms and applications.
With this purpose in mind, the workshop will welcome both research papers
and position statements from industry and academia. The agenda for the event
will include both presentations (from accepted submissions and selected
invited speakers) and a collaborative discussion to sketch a roadmap for
Language Engineering in Online Reputation Management. The EU project
Limosine (starting November 2011) will be used as a funding instrument to
ensure that participation is representative and key players are engaged in
the workshop. The workshop is held in coordination with the RepLab
initiative, a CLEF 2012 evaluation initiative for systems dealing with
Online Reputation Management challenges.
We welcome position statements and short papers on any topic relevant to
the workshop topic, including (but not limited to):
- Topic detection and tracking
- Trend detection and prediction
- Opinion mining and sentiment analysis; negation and modality detection.
- Entity-oriented search and mining: entity ranking, entity profiling,
name disambiguation, etc.
- Language processing for user-generated content, micro-text
understanding, and social media analysis.
- Real time language processing
Position statements should include contact details and a short (one page)
description of the author's take on the (primarily technical) challenges to
be faced in the Online Reputation Management field in the next five years.
Short papers should have a maximum length of four pages, identify the
authors (reviewing will not be blind) and may describe work in
progress. Papers that include a comparative assessment of current commercial
applications and/or research prototypes are particularly welcome.
Submissions should be uploaded here:
https://www.softconf.com/lrec2012/Reputation2012/
Important dates
15 February: Deadline for position statements and short papers
15 March: Acceptance notifications
1 April: Camera-ready versions
26 May: Workshop at LREC 2012
Workshop Organizers
Adolfo Corujo (Llorente & Cuenca, Spain)
Julio Gonzalo (UNED, Spain)
Edgar Meij (University of Amsterdam, The Netherlands)
Maarten de Rijke (University of Amsterdam, The Netherlands)
RepLab Steering Committee
Eugene Agichtein, Emory University, USA
Alexandra Balahur, JRC, Italy
Krisztian Balog, NTNU, Norway
Raymond Franz, Trendlight, Netherlands
Donna Harman, NIST, USA
Eduard Hovy, ISI/USC, USA
Radu Jurca, Google, Switzerland
Jussi Karlgren, Gavagai/SICS, Sweden
Mounia Lalmas, Yahoo! Research, Spain
Jochen Leidner, Thomson Reuters, Switzerland
Bing Liu, U. Illinois at Chicago, USA
Alessandro Moschitti, U. Trento, Italy
Miles Osborne, U. Edinburgh, UK
Hans Uszkoreit, U. Saarbrücken, Germany
James Shanahan, Boston U., USA
Belle Tseng, Yahoo!, USA
Julio Villena, Daedalus/U. Carlos III, Spain
Workshop URL: http://www.limosine-project.eu/events/lrec2012
Other CFPs
Last modified: 2012-02-06 13:13:19