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LINGUIST List 22.2181

Mon May 23 2011

Confs: Computational Linguistics, Cognitive Science/USA

Editor for this issue: Elyssa Winzeler <elyssalinguistlist.org>


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        1.     Aline Villavicencio , ACL 2011 Workshop on Multiword Expressions

Message 1: ACL 2011 Workshop on Multiword Expressions
Date: 23-May-2011
From: Aline Villavicencio <alinevgmail.com>
Subject: ACL 2011 Workshop on Multiword Expressions
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ACL 2011 Workshop on Multiword Expressions
Short Title: ACL 2011 MWE Workshop


Date: 23-Jun-2011 - 23-Jun-2011
Location: Portland, USA
Contact: Carlos Ramisch
Contact Email: < click here to access email >
Meeting URL: http://multiword.sf.net/mwe2011

Linguistic Field(s): Cognitive Science; Computational Linguistics

Meeting Description:

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

http://multiword.sf.net/mwe2011

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

Portland, Oregon, USA - June 23-24, 2011

Submission deadline: Mar 4, 2011 at 23:59 PDT (GMT-7)

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 asking for original 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 call for submissions 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!

MWE 2011 Call for Participation
Early bird registration until May 23, 2011

Important Dates

May 23, 2011 Early bird registration deadline through acl2011.org
Jun 23, 2011 Workshop at ACL 2011

Program

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 Co-occurrence 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

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, Germany

Mark Johnson, Macquarie University, Australia

Preslav Nakov, National University of Singapore, Singapore

TBD


Program Committee

* 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)

Consulting Body

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

Workshop Organizers and Contact

* 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)

For any inquiries regarding the workshop please send an email to mwe2011 (at)
gmail.com



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