ACL 2011 Workshop on Multiword Expressions (MWE 2011): Final Call for Participation

Valia Kordoni kordoni at
Wed Jun 15 00:27:44 EDT 2011

		MWE 2011 Final Call for Participation

          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!


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  
            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  
            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  
            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  
            Vitor De Araujo, Carlos Ramisch and Aline Villavicencio

15:30-16:00    AFTERNOON BREAK

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,  
            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,  

For any inquiries regarding the workshop please send an email to  
mwe2011 at 
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <>
-------------- next part --------------

More information about the HPSG-L mailing list