ACL 2011 Workshop on Multiword Expressions: from Parsing and Generation to the real world (MWE 2011)

Event Notification Type: 
Call for Participation
Abbreviated Title: 
MWE 2011 Call for Participation
Portland Marriott Downtown Waterfront
Thursday, 23 June 2011
Contact Email: 
Carlos Ramisch
Valia Kordoni
Aline Villavicencio

MWE 2011 Call for Participation

*** Early bird registration until May 23, 2011 ***

ACL 2011 Workshop on Multiword Expressions:
from Parsing and Generation to the real world (MWE 2011)

endorsed by the Special Interest Group on the Lexicon of the
Association for Computational Linguistics (SIGLEX)

Portland, Oregon, USA - June 23, 2011


Under the denomination "Multiword Expression", one can hang a
wide range of linguistic constructions such as idioms (a frog in
the throat, kill some time), fixed phrases (per se, by and large,
rock'n roll), noun compounds (telephone booth, cable car),
compound verbs (give a presentation, go by [a name]), etc. While
easily mastered by native speakers, their interpretation poses a
major challenge for computational systems, due to their flexible
and heterogeneous nature. Surprisingly enough, MWEs are not
nearly as frequent in NLP resources (dictionaries, grammars) as
they are in real-word text, where they have been reported to
account for over 70% of the terms in a domain. Thus, MWEs are a
key issue and a current weakness for tasks like Natural Language
Parsing (NLP) and Generation (NLG), as well as real-life
applications such as Machine Translation.

MWE 2011 will be the 8th event in the series, and the time has
come to move from basic preliminary research and theoretical
results to actual applications in real-world NLP tasks. Therefore,
following further the trend of previous MWE workshops, we propose
a turn towards MWEs on NLP applications, specifically towards
Parsing and Generation of MWEs, as there is a wide range of open
problems that prevent MWE treatment techniques to be fully
integrated in current NLP systems. We will be interested in
research related (but not limited) to the following topics:

* Lexical representations: In spite of several proposals for
MWE representation ranging along the continuum from words-
with-spaces to compositional approaches connecting lexicon
and grammar, to date, it remains unclear how MWEs should be
represented in electronic dictionaries, thesauri and grammars.
New methodologies that take into account the type of MWE and
its properties are needed for efficiently handling manually
and/or automatically acquired expressions in NLP systems.
Moreover, we also need strategies to represent deep attributes
and semantic properties for these multiword entries.

* Application-oriented evaluation: Evaluation is a crucial
aspect for MWE research. Various evaluation techniques have
been proposed, from manual inspection of top-n candidates to
classic precision/recall measures. However, only application-
oriented techniques can give a clear indication of whether the
acquired MWEs are really useful. We will discuss papers that
study the impact of MWE handling in applications such as
Parsing, Generation, Information Extraction, Machine
Translation, Summarization, etc.

* Type-dependent analysis: While there is no unique definition
or classification of MWEs, most researchers agree on some
major classes such as named entities, collocations, multiword
terminology and verbal expressions. These, though, are very
heterogeneous in terms of syntactic and semantic properties,
and should thus be treated differently by applications. Type-
dependent analyses could shed some light on the best
methodologies to integrate MWE knowledge in our analysis and
generation systems.

* MWE engineering: Where do my MWEs go after being extracted?
Do they belong to the lexicon and/or to the grammar? In the
pipeline of linguistic analysis and/or generation, where
should we insert MWEs? And even more important: HOW? Because
all the effort put in automatic MWE extraction will not be
useful if we do not know how to employ these rich resources in
our real-life NLP applications!


May 23, 2011 Early bird registration deadline through
Jun 23, 2011 Workshop at ACL 2011


08:15-08:30 Welcome
08:30-09:30 MWEs and Topic Modelling: Enhancing Machine Learning with Linguistics
Invited talk by Tim Baldwin

Session I - Short Papers
Chair: Eric Wherli

09:30-09:45 Automatic Extraction of NV Expressions in Basque: Basic Issues on Cooccurrence Techniques
Antton Gurrutxaga and Iñaki Alegria
09:45-10:00 Semantic Clustering: an Attempt to Identify Multiword Expressions in Bengali
Tanmoy Chakraborty, Dipankar Das and Sivaji Bandyopadhyay
10:00-10:15 Decreasing Lexical Data Sparsity in Statistical Syntactic Parsing - Experiments with Named Entities
Deirdre Hogan, Jennifer Foster and Josef van Genabith
10:15-10:30 Detecting Multi-Word Expressions Improves Word Sense Disambiguation
Mark Finlayson and Nidhi Kulkarni

10:30-11:00 MORNING BREAK

Session II - Identification and Representation
Chair: Berthold Crysmann

11:00-11:25 Tree-Rewriting Models of Multi-Word Expressions
William Schuler and Aravind Joshi
11:25-11:50 Learning English Light Verb Constructions: Contextual or Statistical
Yuancheng Tu and Dan Roth
11:50-12:15 Two Types of Korean Light Verb Constructions in a Typed Feature Structure Grammar
Juwon Lee

12:15-13:50 LUNCH BREAK

Session III - Tasks and Applications
Chair: Ted Pedersen

13:50-14:15 MWU-Aware Part-of-Speech Tagging with a CRF Model and Lexical Resources
Matthieu Constant and Anthony Sigogne
14:15-14:40 The Web is not a PERSON, Berners-Lee is not an ORGANIZATION, and African-Americans are not LOCATIONS: An Analysis of the Performance of Named-Entity Recognition
Robert Krovetz, Paul Deane and Nitin Madnani
14:40-15:05 A Machine Learning Approach to Relational Noun Mining in German
Berthold Crysmann

15:05-15:30 Poster and Demo Session
Chair: Iñaki Alegria

Long Papers

Identifying and Analyzing Brazilian Portuguese Complex Predicates
Magali Sanches Duran, Carlos Ramisch, Sandra Maria Aluísio and Aline Villavicencio
An N-gram Frequency Database Reference to Handle MWE Extraction in NLP Applications
Patrick Watrin and Thomas François
Extracting Transfer Rules for Multiword Expressions from Parallel Corpora
Petter Haugereid and Francis Bond
Identification and Treatment of Multiword Expressions Applied to Information Retrieval
Otavio Acosta, Aline Villavicencio and Viviane Moreira

Short Papers

Stepwise Mining of Multi-Word Expressions in Hindi
Rai Mahesh Sinha
Detecting Noun Compounds and Light Verb Constructions: a Contrastive Study
Veronika Vincze, István Nagy T. and Gábor Berend

Demo Papers

jMWE: A Java Toolkit for Detecting Multi-Word Expressions
Nidhi Kulkarni and Mark Finlayson
On-line Visualisation of Collocations Extracted from Multilingual Corpora
Violeta Seretan and Eric Wehrli
StringNet Lexico-Grammatical Knowledgebase and its Applications
David Wible and Nai-Lung Tsao
The Ngram Statistics Package (Text::NSP) : A Flexible Tool for Identifying Ngrams, Collocations, and Word Associations
Ted Pedersen, Satanjeev Banerjee, Bridget McInnes, Saiyam Kohli, Mahesh Joshi and Ying Liu
Fast and Flexible MWE Candidate Generation with the mwetoolkit
Vitor De Araujo, Carlos Ramisch and Aline Villavicencio


16:00-17:00 How Many Multiword Expressions do People Know?
Invited talk by Ken Church
17:00-18:00 Panel: Toward a Special Interest Group for MWEs
Moderator: Valia Kordoni, DFKI GmbH & Saarland University, Germany
Mark Johnson, Macquarie University, Australia
Preslav Nakov, National University of Singapore, Singapore


* Iñaki Alegria (University of the Basque Country, Spain)
* Dimitra Anastasiou (University of Bremen, Germany)
* Timothy Baldwin (University of Melbourne, Australia)
* Srinivas Bangalore (AT&T Labs-Research, USA)
* Francis Bond (Nanyang Technological University, Singapore)
* Aoife Cahill (IMS University of Stuttgart, Germany)
* Paul Cook (University of Toronto, Canada)
* Béatrice Daille (Nantes University, France)
* Mona Diab (Columbia University, USA)
* Gaël Dias (Beira Interior University, Portugal)
* Stefan Evert (University of Osnabrueck, Germany)
* Roxana Girju (University of Illinois at Urbana-Champaign, USA)
* Chikara Hashimoto (National Institute of Information and Communications Technology, Japan)
* Ulrich Heid (Stuttgart University, Germany)
* Kyo Kageura (University of Tokyo, Japan)
* Adam Kilgarriff (Lexical Computing Ltd., UK)
* Ioannis Korkontzelos (University of Manchester, UK)
* Zornitsa Kozareva (University of Southern California, USA)
* Brigitte Krenn (Austrian Research Institute for Artificial Intelligence, Austria)
* Takuya Matsuzaki (University of Tokyo, Japan)
* Diana McCarthy (Lexical Computing Ltd., UK)
* Yusuke Miyao (National Institute of Informatics, Japan)
* Rosamund Moon (University of Birmingham, UK)
* Diarmuid Ó Séaghdha (University of Cambridge, UK)
* Jan Odijk (University of Utrecht, The Netherlands)
* Pavel Pecina (Dublin City University, Ireland)
* Scott Piao (Lancaster University, UK)
* Thierry Poibeau (CNRS and École Normale Supérieure, France)
* Elisabete Ranchhod (University of Lisbon, Portugal)
* Barbara Rosario (Intel Labs, USA)
* Agata Savary (Université François Rabelais Tours, France)
* Violeta Seretan (University of Edinburgh, UK)
* Ekaterina Shutova (University of Cambridge, UK)
* Suzanne Stevenson (University of Toronto, Canada)
* Sara Stymne (Linköping University, Sweden)
* Stan Szpakowicz (University of Ottawa, Canada)
* Beata Trawinski (University of Vienna, Austria)
* Vivian Tsang (Bloorview Research Institute, Canada)
* Kyioko Uchiyama (National Institute of Informatics, Japan)
* Ruben Urizar (University of the Basque Country, Spain)
* Gertjan van Noord (University of Groningen, The Netherlands)
* Tony Veale (University College Dublin, Ireland)
* Begoña Villada Moirón (RightNow, The Netherlands)
* Yi Zhang (DFKI GmbH & Saarland University, Germany)


* Su Nam Kim (University of Melbourne, Australia)
* Preslav Nakov (National University of Singapore, Singapore)


* Valia Kordoni (DFKI GmbH & Saarland University, Germany)
* Carlos Ramisch (University of Grenoble, France and Federal University of Rio Grande do Sul, Brazil)
* Aline Villavicencio (Federal University of Rio Grande do Sul, Brazil)