LREC 2012 Workshop on Language Engineering for Online Reputation Management
Second Call for Papers and Position Statements
** deadline: extended one week to 22 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:
15 February: Deadline for position statements and short papers
15 March: Acceptance notifications
1 April: Camera-ready versions
26 May: Workshop at LREC 2012
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
9:00 - 9:45 – Introduction to the NLP & ORM Challenge
Julio Gonzalo (UNED), The RepLab Initiative: An Evaluation Campaign for Online Reputation Management
Hugo Zaragoza (WebSays), Online Reputation Management: Business Requirements and Scientific Challenges
Miguel Lucas (Acteo), Online Reputation Management: Analysis of Existing Commercial Tools
9:45 - 10:30 – Position papers
Alexandra Balahur (JRC), The Challenge of Processing Opinions in Online Contents in the Social Web Era
Patrick Brennan (Juola & Associates), Tagging Commentary with Demographic Data
Fredrik Olsson, Jussi Karlgren, Magnus Sahlgren, Fredrik Espinoza, Ola Hamfors, (Gavagai), Technical Requirements For Knowledge Representation For Reputation Mining On A Realistic Scale
10:30 - 11:00 – Coffee Break
11:00 - 11:45 – Technical Papers
Chandra Mohan Dasari, Dipankar Das, Sivaji Bandyopadhyay (Jadavpur University), Topic Identification from Blog Documents: Roles of Bigram, Named Entity and Sentiment
Yue Dai, Ernest Aredarenko, Tuomo Kakkonen, Ding Liao (University of Eastern Finland), Towards SoMEST – Combining Social Media Monitoring with Event Extraction and Timeline Analysis
Damiano Spina (UNED), Edgar Meij, Andrei Oghina, Minh Thuong Bui, Mathias Breuss, Maarten de Rijke (University of Amsterdam), A Corpus for Entity Profiling in Microblog Posts
11:45 – 13:00 – Roadmap Discussion & Wrap-up
Jordi Atserias (Yahoo! Research Barcelona)
Adolfo Corujo (Llorente & Cuenca)
Julio Gonzalo (UNED)
Miguel Lucas (Acteo)
Edgar Meij (University of Amsterdam)
Maarten de Rijke (University of Amsterdam)
Hugo Zaragoza (WebSays) plus all workshop participants