[Corpora-List] Call for paper, TAL Journal, special issue on 'Named Entity and relations'

[Sophie Rosset]

[apologies for cross posting]             

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 at manchester.ac.uk) 
Nathalie Friburger (nathalie.friburger at univ-tours.fr)
Sophie Rosset (sophie.rosset at 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

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