<html><head>
<meta http-equiv="content-type" content="text/html; charset=UTF-8"></head><body
bgcolor="#FFFFFF" text="#000000">
Apologies for multiple postings. Please distribute to colleagues. <br>
Please note that the url of the CogALex website (announced beginning
march) has changed.<br>
The one mentioned in this message is the correct one (sorry for causing
any inconvenience)<br>
<br>
<div style="text-align: center;">---------------------------------------------<br>
<br>
</div>
<div style="text-align: center;">1st Call for Papers<br>
<br>
4th Workshop on Cognitive Aspects of the Lexicon (CogALex)<br>
together with a shared task concerning the 'lexical access-problem'<br>
<br>
Pre-conference workshop at COLING 2014 (August 23d, Dublin, Ireland)<br>
<br>
Submission deadline: May 25, 2014<br>
<br>
Invited speaker : Roberto Navigli (Sapienza University of Rome)<br>
<br>
<a class="moz-txt-link-freetext" href="http://pageperso.lif.univ-mrs.fr/~michael.zock/CogALex-IV/cogalex-webpage/index.html">http://pageperso.lif.univ-mrs.fr/~michael.zock/CogALex-IV/cogalex-webpage/index.html</a><br>
</div>
<br>
<br>
GOAL<br>
<br>
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.<br>
<br>
MOTIVATION<br>
<br>
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.<br>
<br>
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.<br>
<br>
TOPICS OF INTEREST<br>
<br>
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. 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.<br>
<br>
1) Analysis of the conceptual input of a dictionary user<br>
<br>
* What does a language producer start from (bag of words)?<br>
* What is in the authors' minds when they are generating a message and
looking for a word?<br>
* What does it take to bridge the gap between this input and the desired
output (target word)? <br>
<br>
2) The meaning of words<br>
<br>
* Lexical representation (holistic, decomposed)<br>
* Meaning representation (concept based, primitives)<br>
* Revelation of hidden information (distributional semantics, latent
semantics, vector-based approaches: LSA/HAL)<br>
* Neural models, neurosemantics, neurocomputational theories of content
representation.<br>
<br>
3) Structure of the lexicon<br>
<br>
* Discovering structures in the lexicon: formal and semantic point of
view (clustering, topical structure)<br>
* Creative ways of getting access to and using word associations
(reading between the lines, subliminal communication);<br>
* Evolution, i.e. dynamic aspects of the lexicon (changes of weights)<br>
* Neural models of the mental lexicon (distribution of information
concerning words, organisation of words)<br>
<br>
4) Methods for crafting dictionaries or indexes<br>
<br>
* Manual, automatic or collaborative building of dictionaries and
indexes (crowd-sourcing, serious games, etc.)<br>
* Impact and use of social networks (Facebook, Twitter) for building
dictionaries, for organizing and indexing the data (clustering of
words), and for allowing to track navigational strategies, etc.<br>
* (Semi-) automatic induction of the link type (e.g. synonym, hypernym,
meronym, association, collocation, ...)<br>
* Use of corpora and patterns (data-mining) for getting access to words,
their uses, combinations and associations <br>
<br>
5) Dictionary access (navigation and search strategies, interface
issues,...)<br>
<br>
* Search based on sound, meaning or associations <br>
* Search (simple query vs multiple words)<br>
* Context-dependent search (modification of users’ goals during search)<br>
* Recovery<br>
* Navigation (frequent navigational patterns or search strategies used
by people)<br>
* Interface problems, data-visualisation<br>
<br>
6) Dictionary applications<br>
<br>
* Methods supporting vocabulary learning (for example, creation of
data-bases showing words in various contexts)<br>
* Tools for supporting Human translation<br>
<br>
IMPORTANT DATES<br>
<br>
* Deadline for paper submissions: May 25, 2014<br>
* Notification of acceptance: June 15, 2014<br>
* Camera-ready papers due : July 7, 2014<br>
* Worskhop date: August 23, 2014<br>
<br>
SUBMISSION INFORMATION<br>
<br>
Papers should follow the COLING main conference formatting details
(<a class="moz-txt-link-freetext" href="http://www.coling-2014.org/call-for-papers.php">http://www.coling-2014.org/call-for-papers.php</a>) and should be submitted
as a PDF-file via the START workshop manager at
<a class="moz-txt-link-freetext" href="https://www.softconf.com/coling2014/WS-1/">https://www.softconf.com/coling2014/WS-1/</a> (you must register first).<br>
<br>
Contributions can be short or long papers. Short paper submission must
describe original and unpublished work without exceeding six (6) pages
(references included). Characteristics of short papers include: a small,
focused contribution; work in progress; a negative result; a piece of
opinion; an interesting application nugget. Long paper submissions must
describe substantial, original, completed and unpublished work without
exceeding twelve (12) pages (references included).<br>
<br>
Reviewing will be double blind, so the papers should not reveal the
authors' identity. Accepted papers will be published in the workshop
proceedings.<br>
<br>
For further details see: <br>
<a class="moz-txt-link-freetext" href="http://pageperso.lif.univ-mrs.fr/~michael.zock/CogALex-IV/cogalex-webpage/index.html">http://pageperso.lif.univ-mrs.fr/~michael.zock/CogALex-IV/cogalex-webpage/index.html</a><br>
<br>
<br>
SHARED TASK ON THE LEXICAL ACCESS PROBLEM (COMPUTING ASSOCIATIONS WHEN
GIVEN MULTIPLE STIMULI)<br>
<br>
In the framework of the 4th Workshop on Cognitive Aspects of the Lexicon
(CogALex) to be held at COLING 2014, 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.<br>
<br>
<br>
MOTIVATION<br>
<br>
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 (text
understanding vs. text production) and the knowledge available at the
very moment of consultation (words, concepts, speech sounds). 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
(meaning, sound, related words) and via diverse access routes.
Navigation takes place in a huge conceptual lexical space, and the
results are displayable in a multitude of forms (e.g. as trees, as
lists, as graphs, or sorted alphabetically, by topic, by frequency).<br>
<br>
To bring some structure into this multitude of possibilities, the shared
task will concentrate on a crucial subtask, namely multiword
association. What we mean by this in the context of this workshop is
the following. 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' due to the
tip-of-the-tongue problem. 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
one or several associated words such as 'mocha', 'espresso', or
'cappuccino'.<br>
<br>
<br>
TASK DEFINITION<br>
<br>
The participants will receive lists of five given words (primes) 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 response. Here are
some more examples:<br>
<br>
given words: gin, drink, scotch, bottle, soda<br>
target word: whisky<br>
<br>
given words: wheel, driver, bus, drive, lorry<br>
target word: car<br>
<br>
given words: neck, animal, zoo, long, tall<br>
target word: giraffe<br>
<br>
given words: holiday, work, sun, summer, abroad<br>
target word: vacation<br>
<br>
given words: home, garden, door, boat, chimney<br>
target word: house<br>
<br>
given words: blue, cloud, stars, night, high<br>
target word: sky<br>
<br>
We will provide a training set of 2000 sets of five input words
(multiword stimuli), together with the expected target words
(associative responses). The participants will have about five 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. <br>
<br>
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 their results.<br>
<br>
For the participating systems, we will distinguish two categories: <br>
<br>
(1) Unrestricted systems. They can use any kind of data to compute their
results. <br>
(2) Restricted systems: These systems are only allowed to draw on the
freely available ukWaC corpus in order to extract information on word
associations. The ukWaC corpus comprises about 2 billion words and is
can be downloaded from <a class="moz-txt-link-freetext" href="http://wacky.sslmit.unibo.it/doku.php?id=corpora">http://wacky.sslmit.unibo.it/doku.php?id=corpora</a>.
<br>
<br>
Participants are allowed to compete in either category or in both.<br>
<br>
<br>
VENUE<br>
<br>
The shared task will take place as part of the CogALex workshop which is
co-located with COLING 2014 (Dublin). The workshop date is August 23,
2014. Shared task participants who wish to have a paper published in the
workshop proceedings will be required to present their work at the
workshop.<br>
<br>
<br>
SHARED TASK SCHEDULE<br>
<br>
Training data release: March 27, 2014<br>
Test data release: May 5, 2014<br>
Final results due: May 9, 2014<br>
Deadline for paper submission: May 25, 2014 <br>
Reviewers' feedback: June, 15, 2014<br>
Camera-ready version: July 7, 2014<br>
Workshop date: August 23, 2014<br>
<br>
<br>
FURTHER INFORMATION<br>
<br>
CogALex workshop website:
<a class="moz-txt-link-freetext" href="http://pageperso.lif.univ-mrs.fr/~michael.zock/CogALex-IV/cogalex-webpage/index.html">http://pageperso.lif.univ-mrs.fr/~michael.zock/CogALex-IV/cogalex-webpage/index.html</a><br>
Data releases: To be found on the above workshop website from the dates
given in the schedule.<br>
Registration for the shared task: Send e-mail to Michael Zock, with
Reinhard Rapp in copy.<br>
<br>
<br>
PROGRAMME COMMITTEE<br>
<br>
* Bel Enguix, Gemma (LIF-CNRS, France)<br>
* Chang, Jason (National Tsing Hua University, Taiwan)<br>
* Cook, Paul (University of Melbourne, Australia)<br>
* Cristea, Dan (University A.I.Cuza, Iasi, Romania)<br>
* De Deyne, Simon (Experimental Psychology, Leuven, Belgium) and
(Adelaide, Australia)<br>
* De Melo, Gerard (IIIS, Tsinghua University, Beijing, China)<br>
* Ferret, Olivier (CEA LIST, Gif sur Yvette, France)<br>
* Fontenelle, Thierry (CDT, Luxemburg)<br>
* Gala, Nuria (LIF-CNRS, Aix Marseille University, Marseille, France)<br>
* Granger, Sylviane (Université Catholique de Louvain, Belgium)<br>
* Grefenstette, Gregory (Inria, Saclay, France)<br>
* Hirst, Graeme (University of Toronto, Canada)<br>
* Hovy, Eduard (CMU, Pittsburgh, USA)<br>
* Hsieh, Shu-Kai (National Taiwan University, Taipei, Taiwan)<br>
* Huang, Chu-Ren (Hongkong Polytechnic University, China)<br>
* Joyce, Terry (Tama University, Kanagawa-ken, Japan)<br>
* Lapalme, Guy (RALI, University of Montreal, Canada)<br>
* Lenci, Alessandro (CNR, university of Pisa, Italy)<br>
* L'Homme, Marie Claude (University of Montreal, Canada)<br>
* Mihalcea, Rada (University of Texas, USA)<br>
* Navigli, Roberto (Sapienza, University of Rome, Italy)<br>
* Pirrelli, Vito (ILC, Pisa, Italy)<br>
* Polguère, Alain (ATILF-CNRS, Nancy, France)<br>
* Rapp, Reinhard (LIF-CNRS, France) and (Mainz, Germany)<br>
* Rosso, Paolo (NLEL, Universitat Politècnica de València, Spain)<br>
* Schwab, Didier (LIG-GETALP, Grenoble, France)<br>
* Serasset, Gilles (IMAG, Grenoble, France)<br>
* Sharoff, Serge (University of Leeds, UK)<br>
* Su, Jun-Ming (University of Tainan, Taiwan)<br>
* Tiberius, Carole (Institute for Dutch Lexicology, The Netherlands)<br>
* Tokunaga, Takenobu (TITECH, Tokyo, Japan)<br>
* Tufis, Dan (RACAI, Bucharest, Romania)<br>
* Valitutti, Alessandro (Helsinki Institute of Information Technology,
Finland)<br>
* Wandmacher, Tonio (IRT SystemX, Saclay, France)<br>
* Zock, Michael (LIF-CNRS, Marseille, France), currently (University of
Tainan, Taiwan)<br>
<br>
<br>
WORKSHOP ORGANIZERS and CONTACT PERSONS<br>
<br>
* Michael Zock (LIF-CNRS, Marseille, France), michael.zock AT
lif.univ-mrs.fr<br>
* Reinhard Rapp (University of Aix Marseille (France) and Mainz
(Germany), reinhardrapp AT gmx.de<br>
* Chu-Ren Huang (The Hong Kong Polytechnic University, Hong Kong),
churen.huang AT inet.polyu.edu.hk<br>
<br>
<br>
<br>
<div class="moz-signature">-- <br>
------------------------------------<br>
Michael ZOCK & Lih-Juang FANG ZOCK<br>
83, bd du Redon, Bât. E - 8<br>
F-13009 Marseille<br>
<br>
<span style="color: rgb(0, 0, 102);">Mail</span>: <a class="moz-txt-link-abbreviated" href="mailto:zock@free.fr">zock@free.fr</a> <br>
Tel. +33 (0) 9.51.89.97.07<br>
portable: +33 (0) 6.01.34.81.22<br>
------------------------------------
</div>
</body>
</html>