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ELSNET-List Message

Subject: [ E-CFP ] AI-Cog-Sem-FLAIRS26
From: <christophe.jouis_(on)_lip6.fr>
Date received: 09 Jul 2013
Deadline: 18 Nov 2013
Start date: 21 May 2014


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

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 researchers.

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;

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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