What is “Semantic, Logics, Information Extraction and AI”?
Traditionally, the study of information extraction, knowledge processing and language
processing is performed by computer scientists, specializing in the application of computers to
the processing of a natural language and large structured or semi-structured data-bases.
Today, people working in information extraction, 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), statisticians, 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 processing 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 methods as semantics, syntax, and morphology or numerical methods as those used in
information retrieval or text-mining. Semantic theories guide the development of lexical theories,
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 and language processing is very
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. The downstream of semantic analysis
can be found in translation, automatic text generation and even automatic annotation of texts or
information retrieval. 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, mathematical, and statistical models
in syntax and semantics (logic of objects, topological theories of time and space, lexical
associations, 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; semantics).
6. information extraction.
7. domain ontologies, linguistic ontologies.
8. knowledge processing.
9. translation
10. text-mining
Note: We invite original papers (i.e. work not previously submitted, in submission, or to be
submitted to another conference during the reviewing process).
Interested authors should format their papers according to AAAI formatting guidelines. 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 16, 2015. For FLAIRS-29, the 2016 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
(http://www.flairs-29.info/). Note: do not use a fake name for your EasyChair login - your
EasyChair account information is hidden from reviewers. Authors should indicate the [your
track name] special track for submissions. The proceedings of FLAIRS will be published
by the AAAI. Authors of accepted papers will be required to sign a form transferring
copyright of their contribution to AAAI. FLAIRS requires that there be at least one full
author registration per paper.
Please, check the website http://www.flairs-29.info/ for further information.