FIRST CALL FOR PAPERS

NAMED ENTITY, NAMED ENTITY RECOGNITION, NAMED ENTITY RELATION

A SPECIAL SPECIAL ISSUE OF THE( TRAITEMENT AUTOMATIQUE DES LANGUES)
(TAL) JOURNAL http://www.atala.org/-Revue-TAL



Guest editors
--------------------------
Sophia Ananiadou (Sophia.ananiadou@manchester.ac.uk)
Nathalie Friburger (nathalie.friburger@univ-tours.fr)
Sophie Rosset (sophie.rosset@limsi.fr)


We wish to invite papers on new research relating to Named Entities (NEs),
their recognition (NER) or the extraction of NE relations (NERelX), one of
the most widely studied areas in information extraction as they are useful
for several NLP applications (information retrieval, question-answering,
machine translation, summarisation, etc.).

NEs include proper nouns but also entities expressed through other nominal
expressions, such as multi-word units, classified into types which may be
coarse or fine-grained according to domain or user requirements. Despite
years of research, NER still includes several challenges, such as correct
classification, resolution of ambiguity, synonym detection, coreference and
variability (e.g., acronyms, orthography). Several methods have been used to
improve the prediction of correct classes, ranging from rule-based and
dictionary-based approaches, to semi-supervised, and unsupervised machine
learning techniques. Evaluation depends on the existence of gold (or
silver) standards and domain specificity (e.g. genes, proteins, symptoms in
health records, etc). Evaluation of NREelX is even more complex when
considered in the end-to-end case. How can we evaluate NERelX while taking
into account the errors coming from previous analysis steps?


We invite submissions on all topics relating to NE, NER and NE relation
extraction, including:

- Definition and typology of NEs, multi-word units

- Domain and document adaptation methods in NER (abstracts, full
papers, wikipedia, domain specific documents, new social media like
twitter, online threads, spoken documents, etc.)

- Detecting NE spans and structural analysis of NEs (NE parsing)

- Cross-document coreference and entity linking

- NE Tracking through time, social or geographical groups, intra- and
inter-document NE tracking etc.

- Normalisation aspects of NE (coreference, disambiguation)

- Recognising NEs in general language and special domains

- Guidelines and annotation tools of NE resources, NE corpora

- Cross-language aspects in NE extraction

- Evaluation, comparison and critical assessment of tools

- NE and NLP applications dependant or based on NEs


Language
---------------------
Manuscripts may be submitted in English or French. French-speaking authors
are requested to submit their contributions in French.


The journal
--------------------------
TAL (Traitement Automatique des Langues / Natural Language Processing) is an
international journal published by ATALA (French Association for Natural
Language Processing, http://www.atala.org) since 1959 with the support of
CNRS (National Centre for Scientific Research). It has moved to an
electronic mode of publication, with printing on demand.
http://www.atala.org/-Revue-TAL-


Important dates
------------------------------
April 15, 2013 Deadline for submissions
July 2013 Notification to authors
Autumn 2013 Publication


Paper submission
-------------------------------
Papers must describe original, completed, and unpublished work. Each
submission will be reviewed by two programme committee members. Authors who
intend to submit a paper are encouraged to contact the guest editors of the
special issue, with a one page extended abstract. Papers (25 pages, PDF
format) must be submitted on Sciencesconf platform [address available soon]
FORMAT

Accepted papers will be maximum 25 pages long in PDF. Style sheets are
available for download on the Web site of the journal
(http://www.atala.org/-Revue-TAL-)


PC members (tentative)
----------------------------------------
Maud Ehrmann, European Commission, JRC
Olivier Galibert, LNE, France
Natalia Grabar, STL, Université de Lille 1 et 3, France
Kais Haddar, University of Sfax, Tunisie
Thierry Hamon, LIM&Bio, Paris 13, France
Sanda Harabagiu, Texas, USA
Valia Kordoni, Humboldt-Universität, Berlin, Germany
Anna Korhonen, University of Cambridge, UK
Ioannis Korkontzelos, University of Manchester, UK
Anne-Laure Ligozat, LIMSI, France
Bernardo Magnini, FBK, HLT, Italy
Makoto Miwa, University of Manchester, UK
Claire Nedellec, MIG, INRA, France
Aurélie Névéol, LIMSI, France
Noaoaki Okazaki, University of Manchester, UK
Christian Raymond, IRISA, France
Fabio Rinaldi, University of Zurich
Patrick Ruch, University of Geneva, Swiss
Benoit Sagot, ALPAGE, France
Satoshi Sekine, NYU, USA
Jian Su, A-STAR, Singapore
Junichi Tsujii, Microsoft Research Asia, China
Patrick Watrin, UCL, CENTAL, Belgique
Fabio Zanzotto, Universy of Rome