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LINGUIST List 20.1125

Fri Mar 27 2009

Calls: Applied Ling,Computational Ling,Text/Corpus Ling/Spain

Editor for this issue: Kate Wu <katelinguistlist.org>


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        1.    Mikel Forcada, Information Retrieval and Information Extraction for Less Resourced Languages

Message 1: Information Retrieval and Information Extraction for Less Resourced Languages
Date: 27-Mar-2009
From: Mikel Forcada <mlfdlsi.ua.es>
Subject: Information Retrieval and Information Extraction for Less Resourced Languages
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Full Title: Information Retrieval and Information Extraction for Less Resourced
Languages
Short Title: IR-IE-LRL

Date: 07-Sep-2009 - 07-Sep-2009
Location: Donostia / San Sebastián, Spain
Contact Person: Kepa Sarasola
Meeting Email: kepa.sarasolaehu.es
Web Site: http://ixa2.si.ehu.es/saltmil/

Linguistic Field(s): Applied Linguistics; Computational Linguistics; Text/Corpus
Linguistics

Call Deadline: 08-Jun-2009

Meeting Description:

Information Retrieval and Information Extraction for Less Resourced Languages
(IE-IR-LRL)
SEPLN 2009 pre-conference workshop
University of the Basque Country
Donostia-San Sebastián. Monday 7th September 2009
Organised by the SALTMIL Special Interest Group of ISCA

Call for Papers

SALTMIL: http://ixa2.si.ehu.es/saltmil/
SEPLN 2009: http://ixa2.si.ehu.es/sepln2009
Call for Papers:
http://ixa2.si.ehu.es/saltmil/en/activities/lrec2008/sepln-2009-workshop-cfp.html
Paper submission: http://sepln.org/myreview-saltmil2009
Deadline for submission: 8 June 2009

Papers are invited for the above half-day workshop, in the format outlined
below. Most submitted papers will be presented in poster form, though some
authors may be invited to present in lecture format.

Context and Focus
The phenomenal growth of the Internet has led to a situation where, by some
estimates, more than one billion words of text is currently available. This is
far more text than any given person can possibly process. Hence there is a need
for automatic tools to access and process his mass of textual information.
Emerging techniques of this kind include Information Retrieval (IR), Information
Extraction (IE), and Question Answering (QA)

However, there is a growing concern among researchers about the situation of
languages other than English. Although not all Internet text is in English, it
is clear that non-English languages do not have the same degree of
representation on the Internet. Simply counting the number of articles in
Wikipedia, English is the only language with more than 20 percent of the
available articles. There then follows a group of 17 languages with between one
and ten percent of the articles. The remaining 245 languages each have less than
one percent of the articles. Even these low-profile languages are relatively
privileged, as the total number of languages in the world is estimated to be 6800.

Clearly there is a danger that the gap between high-profile and low-profile
languages on the Internet will continue to increase, unless tools are developed
for the low-profile languages to access textual information. Hence there is a
pressing need to develop basic language technology software for less-resourced
languages as well. In particular, the priority is to adapt the scope of
recently-developed IE, IR and QA systems so that they can be used also for these
languages. In doing so, several questions will naturally arise, such as:

- What problems emerge when faced with languages having different linguistic
features from the major languages?
- Which techniques should be promoted in order to get the maximum yield from
sparse training data?
- What standards will enable researchers to share tools and techniques across
several different languages?
- Which tools are easily re-useable across several unrelated languages?

It is hoped that presentations will focus on real-world examples, rather than
purely theoretical discussions of the questions. Researchers are encouraged to
share examples of best practice -- and also examples where tools have not worked
as well as expected. Also of interest will be cases where the particular
features of a less-resourced language raise a challenge to currently accepted
linguistic models that were based on features of major languages.

Topics
Given the context of IR, IE and QA, topics for discussion may include, but are
not limited to:
- Information retrieval;
- Text and web mining;
- Information extraction;
- Text summarization;
- Term recognition;
- Text categorization and clustering;
- Question answering;
- Re-use of existing IR, IE and QA data;
- Interoperability between tools and data.
- General speech and language resources for minority languages, with
particular emphasis on resources for IR,IE and QA.

Important Dates
- 8 June 2009: Deadline for submission
- 1 July 2009: Notification
- 15 July 2009: Final version
- 7 September 2009: Workshop

Organisers
- Kepa Sarasola, University of the Basque Country
- Mikel Forcada, Universitat d'Alacant, Spain
- Iñaki Alegria. University of the Basque Country
- Xabier Arregi, University of the Basque Country
- Arantza Casillas. University of the Basque Country
- Briony Williams, Language Technologies Unit, Bangor University, Wales, UK

Programme Committee
- Iñaki Alegria. University of the Basque Country.
- Atelach Alemu Argaw: Stockholm University, Sweden
- Xabier Arregi, University of the Basque Country.
- Jordi Atserias, Barcelona Media (yahoo! research Barcelona)
- Shannon Bischoff, Universidad de Puerto Rico, Puerto Rico
- Arantza Casillas. University of the Basque Country.
- Mikel Forcada: Universitat d'Alacant, Spain
- Xavier Gomez Guinovart. University of Vigo.
- Lori Levin, Carnegie-Mellon University, USA
- Climent Nadeu, Universitat Politècnica de Catalunya
- Jon Patrick, University of Sydney, Australia
- Juan Antonio Pérez-Ortiz, Universitat d'Alacant, Spain
- Bojan Petek, University of Ljubljana, Slovenia
- Kepa Sarasola, University of the Basque Country
- Oliver Streiter, National University of Kaohsiung, Taiwan
- Vasudeva Varma, IIIT, Hyderabad, India
- Briony Williams: Bangor University, Wales, UK

Submission Information
We expect short papers of max 3500 words (about 4-6 pages) describing research
addressing one of the above topics, to be submitted as PDF documents by
uploading to the following URL: http://sepln.org/myreview-saltmil2009

The final papers should not have more than 6 pages, adhering to the stylesheet
that will be adopted for the SEPLN Proceedings (to be announced later on the
Conference web site).
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