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Subject: [ E-CFP ] Call for Papers - Text Mining and Applications (TEMA’13) Track of EPIA’13
From: <jfs_(on)_fct.unl.pt>
Date received: 01 Mar 2013
Deadline: 15 Mar 2013
Start date: 09 Sep 2013





*********** CALL FOR PAPERS ***********

Text Mining and Applications (TEMA'13) Track of EPIA'13

TeMA 2013 will be held at the 16th Portuguese Conference on
Artificial Intelligence (EPIA 2013) taking place at theUniversity
of Azores, Angra do Heroísmo, Terceira Island from 9th to 13th
September 2013. This track is organized under the auspices of the
Portuguese Association for Artificial Intelligence (APPIA).

EPIA 2013 URL: http://epia2013.uac.pt/

This announcement contains:

[1] Track description; [2] Topics of interest; [3] Special
Interests for 2013; [4] Important dates; [5] Paper submission;
[6] Track fees; [7] Organizing Committee; [8] Program Committee
and [9] Contacts.

[1] Track Description

Human languages are complex by nature and efforts in pure
symbolic approaches alone have been unable to provide fully
satisfying results. Text Mining and Machine Learning techniques
applied to texts (raw or annotated) brought up new insights and
completely shifted the approaches to Human Language Technologies.
Both approaches, symbolic and statistically based, when duly
integrated, have shown capabilities to bridge the gap between
language theories and effective use of languages, and can enable
important applications in real-world heterogeneous environment
such as the Web.

The most natural form of written information is raw, unstructured
text. The huge amount of this kind of textual information
circulating in the Internet nowadays (in an increasing number of
different languages) leads us to use and investigate systems,
algorithms and models for mining texts. As a consequence, Text
Mining is an active research area that is continuously broadening
worldwide and fostering reinforced interest in languages other
than the most common ones such as English, French, German and now
Chinese. This 5th Biannual Track of Text Mining and Applications
will provide, as in previous editions of the TeMA Tracks within
the EPIA Conferences, a venue for researchers to present and
share their work in intelligent computational technologies
applied to written human languages. TeMA 2013 is a forum for
researchers working in Human Language Technologies i.e. Natural
Language Processing (NLP), Computational Linguistics (CL),
Natural Language Engineering (NLE), Text Mining (TM) and related
areas.

Authors are invited to submit their papers on any of the issues
identified in section [2]. Papers will be blindly reviewed by
three members of the Program Committee. Best papers will be
published at Springer, in LNAI series. If there are additional
papers whose quality is sufficiently high for deserving to be
presented at TeMA 2013, those other accepted papers will be
published in a conference proceedings book.

[2] Topics of Interest

Topics include but are not limited to:

Text Mining:

- Language Models

- Multi-word Units

- Lexical Knowledge Acquisition

- Word and Multi-word Sense Disambiguation

- Acquisition and Usage of Ontologies

- Lexical Cohesion

- Sentiment Analysis

- Word and Multi-word Translation Extraction

- Textual Entailment

- Text Clustering and Classification

- Algorithms and Data Structures for Text Mining

- Information Extraction

- Multi-Faceted Text Analysis: Opinions, Time, Space

Applications:

- Social Network Analysis

- Machine Translation

- Automatic Summarization

- Intelligent Information Retrieval

- Multilingual access to multilingual Information

- E-training, E-learning and Question-Answering Systems

- Web Mining

[3] Special Interests for 2013

The evolution of the Web has drastically changed the focus of
Text Mining as most of the texts are small in size. While, in the
past, the focus was on dealing with very large corpora of long
texts, the new reality is huge collections of tweets or posts on
social media that contain very few words in a clear multilingual
environment. This is usually referred to the Big Data (here Big
Textual Data). As a consequence, new trends have recently been
appearing in Text Mining, for example, keyword extraction,
named-entity recognition, novelty detection, event
identification.

Moreover, the growing interest and quality of Wikipedia has
allowed to include knowledge on a large scale in Text Mining
applications. As such, many research have been focusing on the
correct use of knowledge bases, for example, entity information
retrieval, word sense disambiguation, ephemeral clustering.

[4] Important dates

March 15, 2013: Paper submission deadline

April 30, 2013: Notification of paper acceptance

May 31, 2013: Deadline for camera-ready versions

September 9-13, 2013: Conference dates

[5] Paper submission

Submissions must be full technical papers on substantial,
original, and previously unpublished research. Papers can have a
maximum length of 12 pages. All papers should be prepared
according to the formatting instructions of Springer LNAI series.
Authors should omit their names from the submitted papers, and
should take reasonable care to avoid indirectly disclosing their
identity. All papers should be submitted in PDF format through
the conference management website
at:https://www.easychair.org/conferences/?conf=epia2013

[6] Track Fees:

Track participants must register at the main EPIA 2013
conference. No extra fee shall be paid for attending this track.

[7] Organizing Committee:

Joaquim F. Ferreira da Silva. Universidade Nova de Lisboa,
Portugal.

Vitor R. Rocio. Universidade Aberta, Portugal.

Gaël Dias. University of Caen Basse-Normandie, France.

José G. Pereira Lopes. Universidade Nova de Lisboa, Portugal.

[8] Program Committee:

Adam Jatowt (University of Kyoto, Japan)

Aline Villavicencio (Universidade Federal do Rio Grande do Sul,
Brazil)

André Martins (Instituto Superior Técnico, Portugal) Antoine
Doucet (University of Caen Basse-Normandie, France)

António Branco (Universidade de Lisboa, Portugal) Antonio
Sanfilippo (Pacific Northwest National Laboratory, USA)

Belinda Maia (Universidade do Porto, Portugal)

Brigitte Grau (LIMSI, France)

Bruno Cremilleux (University of Caen Basse-Normandie, France)
Diana Inkpen (University of Ottawa, Canada)

Elena Elloret (University of Alicante, Spain)

Eric de La Clergerie (INRIA, France)

Fernando Batista (INESC, Portugal)

Francisco da Câmara Pereira (Universidade de Coimbra, Portugal)

Gabriel Pereira Lopes (Universidade Nova de Lisboa, Portugal)

Gaël Dias (University of Caen Basse-Normandie, france)

Gregory Grefenstette (CEA, France)

Guillaume Cleuziou (University of Orléans, France)

Helena Ahonen-Myka (University of Helsinki, Finland)

Irene Rodrigues. Universidade de Évora, Portugal)

Isabelle Tellier (Université Paris 3 - Sorbonne Nouvelle,
Lattice, France)

Joaquim Ferreira da Silva (Universidade Nova de Lisboa) Joao
Balsa (Universidade de Lisboa, Portugal)

Joao Cordeiro (Universidade da Beira Interior, Portugal)

Joao Graça (University of Pennsylvania, USA)

Joao Magalhaes (Universidade Nova de Lisboa, Portugal) Katerzyna
Wegrzyn-Wolska (ESIGETEL, France)

Manuel Vilares Ferro (University of Vigo, Spain) Marcelo Finger
(Universidade de Sao Paulo, Brazil)

Mark Lee (University of Birmingham, United Kingdom)

Mohand Boughanem (University of Toulouse III, France)

Nattiya Kanhabua (University of Hannover, Germany)

Nuno Marques (Universidade Nova de Lisboa, Portugal) Pablo
Gamallo (Faculdade de Filologia, Santiago de Compustela, Spain)
Paulo Quaresma (Universidade de Évora, Portugal) Pavel Brazdil
(University of Porto, Portugal)

Pierre Zweigenbaum (CNRS-LIMSI, France)

Ricardo Campos (Instituto Politécnico de Tomar, Portugal)

Ricardo Ribeiro (INESC, Portugal)

Sriparna Saha (Indian Institute of Technology Patna, India) Vitor
Jorge Rocio (Universidade Aberta, Portugal) Walter Daelemans
(University of Antwerp, Belgium)

Zornitsa Kozareva (University of Southern California, USA)

[9] Contacts

Joaquim Francisco Ferreira da Silva, DI/FCT/UNL, Quinta da Torre,
2829-516, Caparica, Portugal.

Tel: +351 21 294 8536 (ext. 10732) - Fax: +351 21 294 8541 -
E-mail: jfs [at]fct [dot] unl [dot] pt

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