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

Thierry Hamon thierry.hamon at UNIV-PARIS13.FR
Sat Feb 9 19:15:02 UTC 2013

Date: Fri, 8 Feb 2013 12:21:57 +0000
From: Jose Lopes <gpl at>
Message-ID: <CAJRa3dYFcYJ_9CWJGG7sq7tJn7QkkGi9gYUVxeKjnC_vi3EbRg at>

*********** 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 the University 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:

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

[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

- 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:

[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)
João Balsa (Universidade de Lisboa, Portugal)
João Cordeiro (Universidade da Beira Interior, Portugal)
João Graça (University of Pennsylvania, USA)
João Magalhães (Universidade Nova de Lisboa, Portugal)
Katerzyna Wegrzyn-Wolska (ESIGETEL, France)
Manuel Vilares Ferro (University of Vigo, Spain)
Marcelo Finger (Universidade de São 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, Índia)
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] di [dot] fct [dot] unl [dot] pt

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