Sebastian Riedel | 24 May 2013 19:46
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Postdoc Position in NLP and Machine Learning at the University College London

POSTDOCTORAL RESEARCHER IN NLP & MACHINE LEARNING

Computer Science Department
University College London
Application closing date: 24 Jun 2013

# Position

Applications are invited for the position of a Postdoctoral Research
Associate in Natural Language Processing and Machine Learning to work
with Dr Sebastian Riedel (UCL Computer Science). The post is part of a
collaboration between UCL and the BBC and will focus on the extraction
of structured information from unstructured text (including sources
such as BBC News or the BBC world service archive). An emphasis will
be weakly supervised and unsupervised machine reading (MR) with
millions of relation types / templates. We will develop probabilistic
models of large scale MR that connect meaning to text, investigate
scalable inference and learning in such models, and consider novel
applications in the intersection of machine reading and (BBC) media.

The associate will be part of the UCL Machine Reading lab and
affiliated with the Centre for Computational Statistics and Machine
Learning, a world leading institute bringing together the Computer
Science department, Gatsby Unit and Statistics department. The lab is
located on the UCL Bloomsbury Campus in the centre of London.

# Key Requirements

Applicants must have a PhD degree in computer science or related
areas, and a strong background in NLP and machine learning.  Research
(Continue reading)

Linguistic Data Consortium | 24 May 2013 17:40
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New from LDC

New publications

GALE Arabic-English Parallel Aligned Treebank -- Newswire  -

MADCAT Phase 2 Training Set  -

New publications

(1) GALE Arabic-English Parallel Aligned Treebank -- Newswire (LDC2013T10) was developed by LDC and contains 267,520 tokens of word aligned Arabic and English parallel text with treebank annotations. This material was used as training data in the DARPA GALE  (Global Autonomous Language Exploitation) program. Parallel aligned treebanks are treebanks annotated with morphological and syntactic structures aligned at the sentence level and the sub-sentence level. Such data sets are useful for natural language processing and related fields, including automatic word alignment system training and evaluation, transfer-rule extraction, word sense disambiguation, translation lexicon extraction and cultural heritage and cross-linguistic studies. With respect to machine translation system development, parallel aligned treebanks may improve system performance with enhanced syntactic parsers, better rules and knowledge about language pairs and reduced word error rate.

In this release, the source Arabic data was translated into English. Arabic and English treebank annotations were performed independently. The parallel texts were then word aligned. The material in this corpus corresponds to the Arabic treebanked data appearing in Arabic Treebank: Part 3 v 3.2 (LDC2010T08) (ATB) and to the English treebanked data in English Translation Treebank: An-Nahar Newswire (LDC2012T02).

The source data consists of Arabic newswire from the Lebanese publication An Nahar collected by LDC in 2002. All data is encoded as UTF-8. A count of files, words, tokens and segments is below.

Language

Files

Words

Tokens

Segments

Arabic

364

182,351

267,520

7,711


Note: Word count is based on the untokenized Arabic source and token count is based on the ATB-tokenized Arabic source.

The purpose of the GALE word alignment task was to find correspondences between words, phrases or groups of words in a set of parallel texts. Arabic-English word alignment annotation consisted of the following tasks:

Identifying different types of links: translated (correct or incorrect) and not translated (correct or incorrect)

Identifying sentence segments not suitable for annotation, e.g., blank segments, incorrectly-segmented segments, segments with foreign languages

Tagging unmatched words attached to other words or phrases


*

(2) MADCAT Phase 2 Training Set (LDC2013T09) contains all training data created by LDC to support Phase 2 of the DARPA MADCAT (Multilingual Automatic Document Classification Analysis and Translation)Program. The data in this release consists of handwritten Arabic documents, scanned at high resolution and annotated for the physical coordinates of each line and token. Digital transcripts and English translations of each document are also provided, with the various content and annotation layers integrated in a single MADCAT XML output.

The goal of the MADCAT program is to automatically convert foreign text images into English transcripts. MADCAT Phase 2 data was collected from Arabic source documents in three genres: newswire, weblog and newsgroup text. Arabic speaking scribes copied documents by hand, following specific instructions on writing style (fast, normal, careful), writing implement (pen, pencil) and paper (lined, unlined). Prior to assignment, source documents were processed to optimize their appearance for the handwriting task, which resulted in some original source documents being broken into multiple pages for handwriting. Each resulting handwritten page was assigned to up to five independent scribes, using different writing conditions.

The handwritten, transcribed documents were checked for quality and completeness, then each page was scanned at a high resolution (600 dpi, greyscale) to create a digital version of the handwritten document. The scanned images were then annotated to indicate the physical coordinates of each line and token. Explicit reading order was also labeled, along with any errors produced by the scribes when copying the text. The annotation results in GEDI XML output files (gedi.xml), which include ground truth annotations and source transcripts

The final step was to produce a unified data format that takes multiple data streams and generates a single MADCAT XML output file with all required information. The resulting madcat.xml file has these distinct components: (1) a text layer that consists of the source text, tokenization and sentence segmentation, (2)  an image layer that consist of bounding boxes, (3) a scribe demographic layer that consists of scribe ID and partition (train/test) and (4) a document metadata layer.

This release includes 27,814 annotation files in both GEDI XML and MADCAT XML formats (gedi.xml and madcat.xml) along with their corresponding scanned image files in TIFF format.

-- -- Ilya Ahtaridis Membership Coordinator -------------------------------------------------------------------- Linguistic Data Consortium Phone: 1 (215) 573-1275 University of Pennsylvania Fax: 1 (215) 573-2175 3600 Market St., Suite 810 ldc <at> ldc.upenn.edu Philadelphia, PA 19104 USA http://www.ldc.upenn.edu
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peter ljunglöf | 23 May 2013 22:46
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SLPAT 2013 deadline extension: 3 June

==> SLPAT 2013 deadline extension: 3 June  <==

 

The deadline for paper submissions to the SLPAT 2013 workshop on Speech and Language Processing for Assistive Technologies (http://www.slpat.org/slpat2013/) has been extended by one week to 3 June, in order to match the demo submission due date. We will also accept revisions of previously submitted papers up to that time. All other dates remain unchanged.

 

 

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Frank Rudzicz | 23 May 2013 21:38
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SLPAT 2013 deadline extension: 3 June

==> SLPAT 2013 deadline extension: 3 June  <==

 

The deadline for paper submissions to the SLPAT 2013 workshop on Speech and Language Processing for Assistive Technologies (http://www.slpat.org/slpat2013/) has been extended by one week to 3 June, in order to match the demo submission due date. We will also accept revisions of previously submitted papers up to that time. All other dates remain unchanged.

 

 

 

 

Frank Rudzicz, PhD.

   Scientist, Toronto Rehabilitation Institute;

   Assistant professor, Department of Computer Science,

         University of Toronto;

   Founder and Chief Science Officer, Thotra Incorporated

>> http://www.cs.toronto.edu/~frank (personal)

>> http://spoclab.ca  (lab)

 

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Erik Cambria | 23 May 2013 11:41
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CFP: IEEE Computational Intelligence Magazine (Impact Factor: 3.368)

Apologies for cross-posting.

Submissions are invited for an IEEE Computational Intelligence Magazine special issue on Computational
Intelligence for Natural Language Processing.
For more/up-to-date info, please visit http://sentic.net/cinlp


RATIONALE
The textual information available on the Web can be broadly grouped into two main categories: facts and
opinions. Facts are objective expressions about entities or events. Opinions are usually subjective
expressions that describe people's sentiments, appraisals, or feelings towards such entities and
events. Much of the existing research on textual information processing has been focused on mining and
retrieval of factual information, e.g., text classification, text recognition, text clustering, and
many other text mining and natural language processing (NLP) tasks. Little work had been done on the
processing of opinions until only recently.

One of the main reasons for the lack of studies on opinions is the fact that there was little opinionated text
available before the recent passage from a read-only to a read-write Web. Before that, in fact, when
people needed to make a decision, they typically asked for opinions from friends and family. Similarly,
when organizations wanted to find the opinions or sentiments of the general public about their products
and services, they had to specifically ask people by conducting opinion polls and surveys.

However, with the advent of the Social Web, the way people express their views and opinions has
dramatically changed. They can now post reviews of products at merchant sites and express their views on
almost anything in Internet forums, discussion groups, and blogs. Such online word-of-mouth behavior
represents new and measurable sources of information with many practical applications. Nonetheless,
finding opinion sources and monitoring them can be a formidable task because there are a large number of
diverse sources and each source may also have a huge volume of opinionated text.

In many cases, in fact, opinions are hidden in long forum posts and blogs. It is extremely time-consuming
for a human reader to find relevant sources, extract related sentences with opinions, read them,
summarize them, and organize them into usable forms. Thus, automated opinion discovery and
summarization systems are needed. Sentiment analysis grows out of this need: it is a very challenging NLP
or text mining problem. Due to its tremendous value for practical applications, there has been an
explosive growth of both research in academia and applications in the industry.

All the sentiment analysis tasks, however, are very challenging. Our understanding and knowledge of the
problem and its solution are still limited. The main reason is that it is a NLP task, and NLP has no easy
problems. Another reason may be due to our popular ways of doing research. So far, in fact, researchers
have relied a lot on traditional machine learning algorithms. Some of the most effective machine
learning algorithms, however, produce no human understandable results. Apart from some superficial
knowledge gained in the manual feature engineering process, in fact, such algorithms may achieve
improved accuracy, but little about how and why is actually known. All such approaches, moreover, rely on
syntactic structure of text, which is far from the way human mind processes natural language.

TOPICS
Articles are thus invited in area of computational intelligence for natural language processing and
understanding. The broader context of the Special Issue comprehends artificial intelligence,
knowledge representation and reasoning, data mining, artificial neural networks, evolutionary
computation, and fuzzy logic. Topics include, but are not limited to:
• Computational intelligence for big social data analysis
• Biologically inspired opinion mining
• Concept-level opinion and sentiment analysis
• Computational intelligence for social media retrieval and analysis
• Computational intelligence for social media marketing
• Social network modeling, simulation, and visualization
• Semantic multi-dimensional scaling for sentiment analysis
• Computational intelligence for patient opinion mining
• Sentic computing
• Multilingual and multimodal sentiment analysis
• Multimodal fusion for continuous interpretation of semantics
• Computational intelligence for time-evolving sentiment tracking
• Computational intelligence for cognitive agent-based computing
• Human-agent, -computer, and -robot interaction
• Domain adaptation for sentiment classification
• Affective common-sense reasoning
• Computational intelligence for user profiling and personalization
• Computational intelligence for knowledge acquisition

TIMEFRAME
August 1st, 2013: Paper submission deadline
September 1st, 2013: Notification of acceptance
October 1st, 2013: Final manuscript due
February, 2014: Publication

SUBMISSION
The maximum length for the manuscript is typically 25 pages in single column with double-spacing,
including figures and references. Authors of papers should specify in the first page of their
manuscripts corresponding author’s contact and up to 5 keywords. Submission should be made via email
to one of the guest editors below.

GUEST EDITORS
• Erik Cambria, National University of Singapore (Singapore)
• Bebo White, Stanford University (USA)
• Tariq S. Durrani, Royal Society of Edinburgh (UK)
• Newton Howard, MIT Media Laboratory (USA)
_______________________________
Erik Cambria, PhD
康文涵
Research Scientist

Temasek Laboratories
Cognitive Science Programme
National University of Singapore
5A Engineering Drive 1, Singapore 117411

Skype: senticnet
Website: http://sentic.net

Email: cambria <at> nus.edu.sg
Twitter: http://twitter.com/senticnet

Facebook: http://facebook.com/senticnet


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Mirella Lapata | 22 May 2013 16:34
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V&L Net Workshop on Language for Vision: Call for Participation


V&L NET WORKSHOP ON LANGUAGE FOR VISION

In conjunction with CVPR, June 23, 2013
Oregon Conference Center, Portland, Oregon
http://www.cs.york.ac.uk/L4V/

*** NOTE EARLY REGISTRATION DEADLINE MAY 24, 2013 ***

CALL FOR PARTICIPATION

Fragments of natural language, in the form of tags, captions,
subtitles, surrounding text or audio, can aid the interpretation of
image and video data by adding context or disambiguating visual
appearance. In addition, labelled images are essential for training
object or activity classifiers. For this reason, there is a growing
interest in exploiting language understanding in order to help solve
problems in computer vision.

The EPSRC Network on Vision and Language (V&L Net) has been set up to
foster collaborative work in this area. It is a forum for researchers
from the fields of Computer Vision and Natural Language Processing to
meet, exchange ideas, expertise and technology, and form new
partnerships. The aim is to create a lasting interdisciplinary
research community situated at the language-vision interface, jointly
working towards solutions for some of today's most challenging
computational challenges, including image and video search,
description of visual content and text-to-image generation.

WORKSHOP PROGRAM

0915-1015 Keynote 1: Fei-fei Li, Stanford University

1045-1115 Amir Sadovnik, Andrew Gallagher, Tsuhan Chen: Not
Everybody's Special: Using Neighbors in Referring Expressions with
Uncertain Attributes

1115-1145 Andrew Aubrey, Paul Rosin, David Marshall, Douglas
Cunningham, Christian Wallraven, Jason Vandeventer: Cardiff
Conversation Database (CCDb): A Database of Natural Dyadic
Conversations

1145-1215 Binyam Gebre, Peter Wittenburg, Tom Heskes: Automatic Signer
Diarization

1330-1400 Yashaswi Verma, C Jawahar: Generating Image Descriptions
Using Semantic Similarities in the Output Space

1400-1430 Micah Hodosh, Julia Hockenmaier: Sentence-based image
description with scaleable, explicit models

1430-1530 Keynote 2: Ray Mooney, University of Texas at Austin

WORKSHOP CO-CHAIRS

Ted Briscoe, University of Cambridge
Darren Cosker, University of Bath
Frank Keller, University of Edinburgh
William Smith, University of York

--

-- 
The University of Edinburgh is a charitable body, registered in
Scotland, with registration number SC005336.

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Eric Atwell | 22 May 2013 14:34
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Q: tourism points of interest dataset (fwd)

Tom Crowe of AnyTranslation.com asked:

I am looking for point of interest databases, an example would be
the monuments in London. I am trying to build a database for use in an app I
am developing and need to get hold of as much data as possible. I also need
this in other languages if possible. So any travel tourist data will be very
useful.

Have you any Ideas.

Many thanks in advance for your help and assistance.

Kind Regards

Tom Crowe
Development Director
Any Translation
T:  0800 6122595 | M: +44 (0)7523 633238 |
E: tom <at> anytranslation.com| W: ww.anytranslation.com
A:  Any Translation Ltd, Silk Mill House, 196 Huddersfield Road,
Huddersfield, HD9 4AR

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Potts, Amanda | 22 May 2013 12:50
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Second Call for Participation: Corpus Linguistics 2013

The seventh international ** Corpus Linguistics ** conference (CL2013) will be held at Lancaster
University from Tuesday 23rd July 2013 to Friday 26th July 2013. The main conference will be preceded by a
workshop day on Monday 22nd July.

We are pleased to issue our second official call for participation, which includes an announcement of
draft programmes for papers and posters at the main conference, as well as updated details on the
pre-conference workshops. Information about registration and reduced-rate on-campus bed and
breakfast accommodation can be found below.

************
WORKSHOP DAY
************

We invite registration for the pre-conference workshop day. You can register for the workshop day either
in addition to or separately from the main conference. A reduced registration fee for postgraduate
students is available. 

Participants have the choice of the following CL2013 workshops:

* Full day: Corpus-Based Approaches to Figurative Language
* Full day: Workshop on Arabic Corpus Linguistics
* Full day: Web as Corpus Workshop
* Full day: A Fully-annotated Pragmatic Corpus - the SPICE-Ireland Corpus
* Full day: Annotating Correspondence Corpora
* Two half-day sessions:
     * Compiling and Analysing a Spoken Academic Corpus (morning) and/or
     * Corpus Analysis with Noise in the Signal (afternoon)

Updated programmes and provisional timetables for each of the workshop are now available - see
http://ucrel.lancs.ac.uk/cl2013/workshops.php .

***************
MAIN CONFERENCE
***************

The main conference will run over four days, and will include plenary lectures from Karin Aijmer, Guy Cook,
Michael Hoey, and Ute Römer. 

A draft programme for the full event (including titles of all papers and posters) is now available at
http://ucrel.lancs.ac.uk/cl2013/programme.php .

Participants are invited to register for the full conference. It is also possible to register for a single
day (or days) of the conference. Reduced postgraduate rates are available. 

Registration closes on 30 June 2013. 

**************************
HOW TO REGISTER FOR CL2013
**************************

Please visit http://ucrel.lancs.ac.uk/cl2013/register.php to register for CL2013.

All registration fees include daily lunch and dinner, and participants attending the full conference
will receive a complimentary subscription to the journal CORPORA.

Reduced-rate on-campus bed and breakfast accommodation can also be booked via the same registration form.

We look forward to welcoming you to Lancaster!

Amanda Potts, Andrew Hardie, Tony McEnery, and Paul Rayson
The CL2013 Organising Committee

http://ucrel.lancs.ac.uk/cl2013
cl2013 <at> lancaster.ac.uk

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Maxim Khalilov | 22 May 2013 10:59
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NLP People news

NLP People news:

1. We continue to publish the guidelines on career path selection. The article we just made available at NLPPeople.com is called “Why does it really take to make it in academia?”. We and the author (Paige Harris) will very much appreciate if you could share your opinion on the topics discussed in the article. The direct link to the publication: https://nlppeople.com/index.php/publications/articles/111-what-does-it-really-take-to-make-it-in-academia

2. Hot NLP job openings:
- talented NLP researcher for a leading software company based in Cambridge (UK): https://nlppeople.com/index.php/job/2083/nlp-researcher-cambridge
- lead researcher position within Samsung Advanced Research Institute in Bangalore (India) https://nlppeople.com/index.php/job/2059/researcher-bangalore
- NLP software developer advertised by Venbest Recruiting in Kyiv (Ukraine): https://nlppeople.com/index.php/job/2049/software-developer-(nlp)-kyiv

3. Current machine learning and data mining openings:
- entry level programmer for the The Oak Ridge National Laboratory (USA): https://nlppeople.com/index.php/job/2089/entry-level-programmer-knoxville-tn
- data analytics lead for Intelecox at San Jose, CA, (USA): https://nlppeople.com/index.php/job/2075/data-analytics-lead-san-jose-ca

.. and many more NLP, localization, machine learning and data mining job opportunities are waiting for you at NLPPeople.com

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Petya Osenova | 22 May 2013 09:46
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FCP: Workshop on Treebanks and Linguistic Theories 2013

First Call for Papers
================

The 12th International Workshop on Treebanks and Linguistic Theories
(TLT12)

TLT serves as a venue for new and ongoing research on the topic of
linguistics and treebanks. The 12th edition of TLT will take place in Sofia,
Bulgaria on December 13-14, 2013, and will be hosted by the BulTreeBank Group.

TLT-12 website: http://bultreebank.org/TLT12/

This year, TLT will be accompanied by the third Workshop on Annotation of
Corpora for Research in the Humanities (ACRH-3) that takes place on December
12, 2013. More information is available at: http://www.bultreebank.org/ACRH-3/

TLT started its first edition in 2002 in Sozopol, Bulgaria. Now its 12th
edition comes back to Bulgaria! For more than 10 years now TLT has
served as a forum for high-quality works related to
syntactically-annotated corpora, i.e., treebanks; with a focus on all the
aspects of treebanking -- descriptive, theoretical, formal and computational 
-- but also  going beyond treebanks, including other levels of annotation such as
frame semantics, coreference, or events. 

Submissions are invited for papers, posters, and demonstrations which
present research on treebanks and their intersection with linguistics,
natural language processing, and related fields.

=Workshop Motivation and Aims=

Treebanks have proven to be crucial resources for important NLP
applications, such as MT and information extraction, as well as supporting
resources for various NLP tasks, such as high-quality parsing and POS tagging. More recent trends
in treebank-related research include:

* annotating deep syntactic information 
* conversion into deeper formats, often also adding information automatically 
* multilingual and crosslingual treebanking
* enriching treebanks with additional layers of linguistic annotation as well as world knowledge  
* dynamic treebanking involving a close connection between parsing and manual annotation
* designing web services for diverse treebanks
* mapping syntactic and semantic knowledge to Linked Open Data (LOD)

This series of workshops provides a forum for researchers and
advanced students working in these areas.

=Workshop Topics=

The workshop invites submissions that discuss relevant innovative work in
treebanking, including the relations and links between various aspects of
morphological, syntactic, semantic, and pragmatic annotation; furthermore,
we encourage submissions describing work on parallel treebanks and/or cross-language
annotation schemas, on the relation between linguistic theory and the
practice of annotation, and on applications of information in treebanks.

=The areas of interest for this workshop include, but are not limited to, the following topics=:

* design principles and annotation schemes for treebanks
* linguistic theory and the practice of annotation
* applications of treebanks in acquiring linguistic knowledge and in NLP
* the role of linguistic theories in treebank development
* treebanks as a basis for linguistic research
* additional annotation levels for treebanks
* evaluation and quality control of treebanks
* tools for creation and management of treebanks
* treebanks for less-resourced languages
* theories, schemas, and applications for parallel treebanks
* standards for treebanks
* creation of large treebanks
* mapping of treebanks to Linked Open Data resources
* using treebanks in analysis and generation tasks
* domain-specific treebanks
* the future of treebanks and treebanking

=Invited Speakers=

* Stefanie Dipper (University of Bochum, Germany)
* Antonio Branco (University of Lisbon, Portugal)

=Important Dates=

Submission deadline: September 15 (Sunday)
Reviews due: October 20 (Sunday)
Notification: October 25 (Friday)
Final submission: November 17 (Sunday)
Workshop: December 13-14 (Friday and Saturday)

Instructions for submissions are available at: http://www.bultreebank.org/TLT12/SubmissionGuidelines.html

=Program Committee=

Sandra Kübler, Indiana University, USA (co-chair)
Petya Osenova, Sofia University, Bulgaria (co-chair)
Martin Volk, University of Zurich, Switzerland (co-chair)

Eckhard Bick, University of Southern Denmark, Denmark
Johan Bos, University of Amsterdam, The Netherlands
Gosse Bouma, University of Groningen, The Netherlands
Koenraad De Smedt, Bergen University, Norway
Markus Dickinson, Indiana University, USA
Dan Flickinger, Stanford University, USA
Anette Frank, Heidelberg University, Germany
Eva Hajičová, Charles University, Czech Republic
Iris Hendrickx, University of Nijmegen, The Netherlands
Erhard Hinrichs, University of Tübingen, Germany
Valia Kordoni, Humboldt University in Berlin, Germany
Amalia Mendes, University of Lisbon, Portugal
Detmar Meurers, University of Tübingen, Germany
Yusuke Miyao, University of Tokyo, Japan
Kaili Muurisep, Tartu University, Estonia
Kemal Oflazer, Carnegie Mellon University, Qatar
Sebastian Padó, Heidelberg University, Germany
Marco Passarotti, Catholic University of the Sacred Heart, Italy
Kiril Simov, IICT-BAS, Bulgaria
Adam Przepiórkowski,Polish Academy of Sciences, Poland
Victoria Rosén, Bergen University, Norway
Caroline Sporleder, Trier University, Germany
Manfred Stede, University of Potsdam, Germany
Gertjan van Noord, University of Groningen, The Netherlands
Heike Zinsmeister, Stuttgart University, Germany

=Local Organization Committee=

Petya Osenova (Sofia University)
Kiril Simov (IICT-BAS)
Stanislava Kancheva (Sofia University)
Georgi Georgiev (Ontotext AD)
Borislav Popov (Ontotext AD)


For more information or questions, please contact: petya <at> bultreebank.org

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Pamela Forner | 22 May 2013 08:56
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CLEF 2013 Valencia, Spain - Registration Fee Waivers for Students

 

Apologies for any cross-posting.

===================================================

CLEF 2013 Registration Fee Waivers for Students


CLEF 2013: Conference and Labs of the Evaluation Forum

Information Access Evaluation meets Multilinguality, Multimodality, and Visualization

 

http://www.clef2013.org/

 

23-26 September 2013, Valencia, Spain

 

=============================================

 

CLEF 2013 is pleased to announce that it has received sponsorship from ELIAS (http://www.elias-network.eu/) for a number of registration fee waivers for students. The registration includes access to all components of the event including lunches (from Monday 23 to Wednesday 25).

 

Preference will be given to:

Applicants who are the author of a paper at CLEF 2013 conference .

Applicants who have participated in one (or more) CLEF 2013 Lab(s).

Preference will especially be given to applicants who are full-time students at the time of the conference and that have only limited alternative travel support and to applicants that are coming from countries outside Europe.

 

Application Process

Interested parties can apply for the sponsorship by sending an e-mail to clef2013 <at> dsic.upv.es  with a short motivation and proof of student status (includes PhD candidates).

 

Application Deadline

The deadline for applying for the registration fee waivers is June, 20

Decisions will be communicated by June 27.

Note that early-bird registration for the conference closes on June 30; students granted the sponsorship will be expected to register online using this rate (but selected applicants will not have to pay the fees!)

 

If you have questions, contact Paolo Rosso (prosso [ at ] dsic.upv.es).

 

The CLEF 2013 Chairs

 

================================

Pamela Forner

CELCT (web: www.celct.it)

Center for the Evaluation of Language and Communication Technologies

Via alla Cascata 56/c

38100 Povo – TRENTO –Italy

 

email: forner <at> celct.it
tel.:  +39 0461 314 804

fax:  +39 0461 314 846

 

Secretary Phone:  +39 0461 314 870

 

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Gmane