LINGUIST List 25.1259
Thu
Mar 13 2014
Calls: Computational
Ling, Cognitive Sci, Lexicography, Text/Corpus
Ling, Psycholing/Ireland
Editor for this issue:
Bryn Hauk <brynlinguistlist.org>
Date: 13-Mar-2014
From: Michael Zock
<michael.zock
lif.univ-mrs.fr>
Subject: Cognitive Aspects of
the Lexicon
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Full Title: Cognitive Aspects of the
Lexicon
Short Title: CogALex
Date: 23-Aug-2014 - 23-Aug-2014
Location: Dublin, Ireland
Contact Person: Michael Zock
Meeting Email:
< click here to access email >
Web Site:
http://pageperso.lif.univ-mrs.fr/~michael.zock/CogALex-IV/cogalex-webpage/index.html
Linguistic Field(s): Cognitive Science;
Computational Linguistics; Lexicography;
Psycholinguistics; Semantics; Text/Corpus
Linguistics
Call Deadline: 25-May-2014
Meeting Description:
Goal:
The aim of the workshop is to bring together
researchers involved in the construction and
application of electronic dictionaries to
discuss modifications of existing resources in
line with the users' needs, thereby fully
exploiting the advantages of the digital form.
Given the breadth of the questions, we welcome
reports on work from many perspectives,
including but not limited to: computational
lexicography, psycholinguistics, cognitive
psychology, language learning and
ergonomics.
Motivation:
The way we look at dictionaries (their creation
and use) has changed dramatically over the past
30 years. While being considered as an appendix
to grammar in the past, by now they have moved
to centre stage. Indeed, there is hardly any
task in NLP which can be conducted without
them. Also, rather than being static entities
(data-base view), dictionaries are now viewed
as dynamic networks, i.e. graphs, whose nodes
and links (connection strengths) may change
over time. Interestingly, properties concerning
topology, clustering and evolution known from
other disciplines (society, economy, human
brain) also apply to dictionaries: everything
is linked, hence accessible, and everything is
evolving. Given these similarities, one may
wonder what we can learn from these
disciplines.
In this 4th edition of the CogALex workshop we
therefore also invite scientists working in
these fields, with the goal to broaden the
picture, i.e. to gain a better understanding
concerning the mental lexicon and to integrate
these findings into our dictionaries in order
to support navigation. Given recent advances in
neurosciences, it appears timely to seek
inspiration from neuroscientists studying the
human brain. There is also a lot to be learned
from other fields studying graphs and networks,
even if their object of study is something else
than language, for example biology, economy or
society.
Topics of Interest:
This workshop is about possible enhancements of
lexical resources and electronic dictionaries.
To perform the groundwork for the next
generation of such resources we invite
researchers involved in the building of such
tools. The idea is to discuss modifications of
existing resources by taking the users' needs
and knowledge states into account, and to
capitalize on the advantages of the digital
media.
Call for Papers:
For this workshop we solicit papers including
but not limited to the following topics, each
of which can be considered from various points
of view: linguistics, neuro- or
psycholinguistics (tip of the tongue problem,
associations), network related sciences
(sociology, economy, biology), mathematics
(vector-based approaches, graph theory,
small-world problem), etc.
- Analysis of the conceptual input of a
dictionary user
- The meaning of words
- Structure of the lexicon
- Methods for crafting dictionaries or
indexes
- Dictionary access (navigation and search
strategies, interface issues,...)
- Dictionary applications
Shared Task:
We invite participation in a shared task
devoted to the problem of lexical access in
language production, with the aim of providing
a quantitative comparison between different
systems.
Motivation:
The quality of a dictionary depends not only on
coverage, but also on the accessibility of the
information. That is, a crucial point is
dictionary access. Access strategies vary with
the task and the knowledge available at the
very moment of consultation. Unlike readers who
look for meanings, writers start from them,
searching for the corresponding words. While
paper dictionaries are static, permitting only
limited strategies for accessing information,
their electronic counterparts promise dynamic,
proactive search via multiple criteria and via
diverse access routes. Navigation takes place
in a huge conceptual lexical space, and the
results are displayable in a multitude of forms
(trees, lists, graphs, or sorted
alphabetically, by topic, by frequency).
To bring some structure into this multitude of
possibilities, the shared task will concentrate
on a crucial subtask, namely multiword
association. Suppose, we were looking for a
word expressing the following ideas: 'superior
dark coffee made of beans from Arabia', but
could not remember the intended word 'mocha'.
Since people always remember something
concerning the elusive word, it would be nice
to have a system accepting this kind of input,
to propose then a number of candidates for the
target word. Given the above example, we might
enter dark, coffee, beans, and Arabia, and the
system would be supposed to come up with lists
of associated words such as mocha, espresso, or
cappuccino.
Procedure:
The participants will receive lists of five
given words such as 'circus', 'funny', 'nose',
'fool', and 'fun' and are supposed to compute
the word which is most closely associated to
all of them. In this case, the word 'clown'
would be the expected answer.
We will provide a training set of 2000 sets of
five input words (multiword stimuli), together
with the expected target words. The
participants will have several weeks to train
their systems on this data. After the training
phase, we will release a test set containing
another 2000 sets of five input words, but
without providing the expected target
words.
Participants will have five days to run their
systems on the test data, thereby predicting
the target words. For each system, we will
compare the results to the expected target
words and compute an accuracy. The participants
will be invited to submit a paper describing
their approach and the results.
Schedule for Shared Task:
Deadline for Paper Submission: May 25, 2014
Reviewers' feedback: June, 15, 2014
Camera-Ready Version: July 7, 2014
Page Updated: 13-Mar-2014