Appel: AI-Cog-Sem-FLAIRS26

Thierry Hamon thierry.hamon at UNIV-PARIS13.FR
Thu Jul 25 19:29:30 UTC 2013

Date: Tue, 23 Jul 2013 14:52:21 +0200
From: Christophe Jouis <christophe.jouis at>
Message-Id: <9D874692-3D3A-4AC3-AF29-E3E1BF67CEC3 at>

What is “Semantic, Logics and Information Extraction in AI”?

Traditionally, the study of knowledge processing and language processing
has been performed by computer scientists, specializing in the
application of computers to the processing of a natural language.

Today, people working in knowledge processing and particularly in
language processing often work as members of interdisciplinary teams,
including linguists (specifically trained in linguistics), language
experts (persons with some level of ability in the languages relevant to
a given project), and computer scientists. In general, computational
linguistics draws upon the involvement of linguists, computer
scientists, experts in artificial intelligence, mathematicians,
logicians, cognitive scientists, cognitive psychologists,
psycholinguists, anthropologists and neuroscientists, among others.

Information extraction as part of knowledge processes and language
processing, as well, must become more connected to the cognitive
sciences through the development of cognitive semantic
theories. Information extraction as part of knowledge processing is
connected to artificial intelligence through the development of methods
and algorithms for all aspects of language analysis and their computer
implementation. We can see language analysis divided into two parts:
theoretical analysis and application. The theoretical aspect includes
standard areas studied in linguistics: semantics, syntax, and
morphology. Semantic theories guide the development of syntactic
theories and morphology. Semantic theories can be based on some specific
features of computation, but at the present stage of research, there is
a gap between linguistic analysis and computer applications in two
senses: there are many computer applications without linguistic
theoretical support and, conversely, there are a number of theoretical
methods with no computer implementation. Semantic as part of
computational linguistic is related to the logic and to logics. If we
accept the hypothesis that there is a logic of language and logics of
natural languages, the upstream of each algorithm or method representing
the basis of a AI system of language analysis is a logic and a
semantic. Generally, the knowledge processing and particularly, the
information extraction must take into account this epistemological chain
for to lead to effective, robust and reliable systems.

What is the GOAL of the track?

This track is intended to present works ranking from logical and
mathematical models in syntax and semantics (logic of objects,
topological theories of time and space etc.) as foundations of the
design and analysis to knowledge processing and natural language
processing systems and especially to information extraction.

Who might be interested?

Special tracks, held in parallel with the general conference, are an
integral part of the conference. They provide researchers in focused
areas the opportunity to meet and present their work, and offer a forum
for interaction among the broader community of artificial intelligence

Topics of interest are in all areas related to artificial intelligence.

What kind of studies will be of interest?

Papers and contributions are encouraged for any work relating to
Semantic, Logics and Information Extraction in AI. Topics of interest
may include (but are in no way limited to):

1. philosophy of language – new developments,

2. cognitive semantics,

3. logics of language,

4. language modeling,

5. computational linguistics (lexicology; morphology; syntax; semantics).

6. information extraction.

7. domain ontologies, linguistic ontologies.

8. knowledge processing.

Note: We invite original papers (i.e. work not previously submitted, in
submission, or to be submitted to another conference during the
reviewing process).

. The papers should be original work (i.e., not submitted, in
submission, or submitted to another conference while in review). Papers
should not exceed 6 pages (4 pages for a poster) and are due by November
18, 2013. For FLAIRS-27, the 2014 conference, the reviewing is a double
blind process. Fake author names and affiliations must be used on
submitted papers to provide double-blind reviewing. Papers must be
submitted as PDF through the EasyChair conference system, which can be
accessed through the main conference web site.

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