Appel: 1st CfP @NLP can u tag #user_generated_content ?! via, LREC 2012 Workshop

Thierry Hamon thierry.hamon at UNIV-PARIS13.FR
Wed Dec 21 21:53:34 UTC 2011

Date: Mon, 19 Dec 2011 16:47:25 +0100
From: ELRA ELDA Information <info at>
Message-ID: <4EEF5C8D.5090804 at>

[Apologies for multiple postings]

Background and Motivation

The Web 2.0 has transferred the authorship of contents from institutions
to the people; the web has become a channel where users exchange,
explain or write about their lives and interests, give opinions and rate
others' opinions. The so-called User Generated Content (UGC) in text
form is a valuable resource that can be exploited for many purposes,
such as cross-lingual information retrieval, opinion mining, enhanced
web search, social science analysis, intelligent advertising, and so on.

In order to mine the data from the Web 2.0 we first need to understand
its contents. Analysis of UG content is challenging because of its
casual language, with plenty of abbreviations, slang, domain specific
terms and, compared to published edited text, with a higher rate of
spelling and grammar errors. Standard NLP techniques, which are used to
analyze text and provide formal representations of surface data, have
been typically developed to deal with standard language and may not
yield the expected results on UGC. For example, shortened or misspelled
words, which are very frequent in the Web 2.0 informal style, increase
the variability in the forms for expressing a single concept.

This workshop aims at providing a meeting point for researchers working
in the processing of UGC in textual form in one way or another, as well
as developers of UGC-based applications and technologies, both from
industry and academia.

*Topics of Interest*

We are mainly interested in, but not restricted to, the following
research questions:

- What characterises UGC? Linguistic and textual phenomena that
distinguish UGC from standard written text, and may pose a challenge for

- Definition of norm, concept of error, deviation and variation in UGC.

- Criteria and standards for the annotation of evaluation corpora in UGC
at various levels of linguistic analysis (form, part of speech,
constituents, dependencies, speech acts, deviation types, etc.).

- How quality of text affects processing tasks (tokenization, POS 
tagging, chunking, parsing, named-entity detection, etc.)

- Architecture and software design for flexible adaptation of NLP 
processing pipelines to new domains (topic domains and text-genre domains)

- Text normalisation vs adaptation of processing tools:

- Pros and cons

- Task dependent?

- Costs and benefits

- Hybrid solutions

- Approaches to normalisation (text checking, ASR, MT techniques, etc.)

- Evaluation issues related to processing and normalising UGC

*Intended Audience*

The workshop aims at bringing together researchers and developers from 
academia and industry. In particular, perspectives from the following 
user groups are welcome:

- UGC-based application developers, from both research and industry

- Researchers from the NLP, IR and IE communities

- Ph.D students interested or working in the processing of UGC


- Oral papers and posters should follow the main conference formatting 
requirements (

- To submit contributions, please follow the instructions at

- The contributions will undergo a double review by members of the
programme committee. When submitting a paper from the START page,
authors will be asked to provide essential information about resources
(in a broad sense, i.e. also technologies, standards, evaluation kits,
etc.) that have been used for the work described in the paper or are a
new result of your research. For further information on this new
initiative, please refer to:

*Important Dates*

February 15: Paper submission deadline

March 15: Acceptance notifications

March 30: Camera-ready papers

May 26: Afternoon Workshop at LREC

*Organising Committee*

Laura Alonso i Alemany, Universidad Nacional de Córdoba (Argentina)

Jordi Atserias, Yahoo! Research (Spain)

Toni Badia, Universitat Pompeu Fabra (Spain)

Maite Melero, Barcelona Media Innovation Center (Spain)

Martí Quixal, Barcelona Media Innovation Center (Spain)

*Programme Committee*

Rafael Banchs, Institute for Infocomm Research - A*Star (Singapore)

Steven Bedrick, Oregon Health & Science University

Joan Codina, Universitat Pompeu Fabra (Spain)

Louise-Amélie Cougnon, Université Catholique de Louvain, ILC, Cental, 

Jennifer Foster, Dublin City University (Ireland)

Michael Gamon, Microsoft Research (USA)

Fei Liu, Bosch Research (USA)

Ulrike Pado, VICO Research&Consulting GmbH

Lluís Padró, Universitat Politècnica de Catalunya (Spain)

Alan Ritter, CSE, University of Washington  (USA)

Roser Saurí, Barcelona Media Innovation Center (Spain)

Paul Schmidt, Institut der Gesellschaft zur Förderung der Angewandten

Informationsforschung (Germany)

L Venkata Subramaniam, IBM Research (India)

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