[Corpora-List] neologisms
Armelle Boussidan
armelle.boussidan at isc.cnrs.fr
Wed Jan 15 12:43:07 UTC 2014
Dear Karoline,
One useful source is the list of all new words that entered dictionary
editions. There are also available lists in various languages established
by neology observatories.
There are a few useful links and ressources in French, English and Spanish
in my doctoral thesis called "Dynamics of semantic change".
I would be interested to see what you come up with,
Best,
Armelle Boussidan
Today's Topics:
>
> 1. Re: Neologisms (Damien Nouvel)
> 2. Saarland University: Junior Faculty / Independent Research
> Group Leader Positions (Vera Demberg-Winterfors)
> 3. SemEval 2014 Task 8: Broad-Coverage Semantic Dependency
> Parsing (Stephan Oepen)
> 4. 2nd CfP: LREC 2014 Workshop on Building and Using Comparable
> Corpora (7th BUCC) (Reinhard Rapp)
> 5. ACL 2014 Workshop on Metaphor in NLP: second call for papers
> (Ekaterina Shutova)
>
>
> ----------------------------------------------------------------------
>
> Message: 1
> Date: Tue, 14 Jan 2014 12:50:32 +0100
> From: Damien Nouvel <damien at nouvels.net>
> Subject: Re: [Corpora-List] Neologisms
> To: Mark Davies <Mark_Davies at byu.edu>
> Cc: "kazavora at students.unibe.ch" <kazavora at students.unibe.ch>,
> "corpora at uib.no" <corpora at uib.no>
>
> Dear karoline,
>
> I participated in a project conducted about neologism detection and
> automatic enrichment of lexicon... for French:
> https://sites.google.com/site/projetedylex/publications
>
> Among other, we were able to show that, using diverse approaches, we were
> able to automatically find neologisms in a newsfeed and assign
> inflectional
> categories to them.
> Since latest work have only been published in French yet (English abstract
> below), don't hesitate to get in touch with us for any feedback about
> this.
>
> Best,
> Damien
>
> --
>
> Lexical incompleteness is a recurring problem when dealing with natural
> language and its variability. It seems indeed necessary today to regularly
> validate and extend lexica used by tools processing large amounts of
> textual data. This is even more true when processing real-time text flows.
> In this context, our paper introduces techniques aimed at addressing words
> unknown to a lexicon. We first study neology (from a theoretic and
> corpus-based point of view) and describe the modules we have developed for
> detecting them and inferring information about them (lemma, category,
> inflectional class). We show that we are able, using among others modules
> for analyzing derived and compound neologisms, to generate lexical entries
> candidates in real-time and with a good precision.
>
>
>
> 2014/1/10 Mark Davies <Mark_Davies at byu.edu>
>
>> (Sorry for the delay in responding)
>>
>> In order to look for neologisms, you'll need a monitor corpus that
>> continues to be added to every year or two, and (crucially) which has
>> roughly the same composition from year to year. As far as I'm aware, the
>> only publicly-accessible monitor corpus with these specifications in the
>> Corpus of Contemporary American English (COCA):
>> http://corpus.byu.edu/coca/ .
>>
>> (See http://llc.oxfordjournals.org/content/25/4/447.abstract for a
>> comparison of COCA, the Bank of English, and the Oxford English Corpus
>> as
>> monitor corpora.)
>>
>> The hard part is having the corpus interface automatically find
>> neologisms for you. In COCA you can have it show you, for example, all
>> adjectives that occur in 2012, but not in 1990-2011. But because the
>> CLAWS7
>> tagger isn't perfect, you'll have to wade through lots of spurious data
>> to
>> find the neologisms.
>>
>> But if you already have words or phrases in mind, then COCA can map out
>> their frequency year by year since 1990 quite well, e.g.:
>>
>> morph: http://corpus.byu.edu/coca/?h=y&c=coca&q=105
>> old-school: http://corpus.byu.edu/coca/?h=y&c=coca&q=106
>> gift (as verb): http://corpus.byu.edu/coca/?h=y&c=coca&q=124
>> think outside the box: http://corpus.byu.edu/coca/?h=y&c=coca&q=155
>> throw someone under the bus:
>> http://corpus.byu.edu/coca/?c=coca&q=15643189
>>
>> There are more examples at http://corpus.byu.edu/coca/x.asp?f=changes_e
>>
>> Best,
>>
>> Mark Davies
>>
>> ============================================
>> Mark Davies
>> Professor of Linguistics / Brigham Young University
>> http://davies-linguistics.byu.edu/
>>
>> ** Corpus design and use // Linguistic databases **
>> ** Historical linguistics // Language variation **
>> ** English, Spanish, and Portuguese **
>> ============================================
>> ------------------------------
>> *From:* corpora-bounces at uib.no [corpora-bounces at uib.no] on behalf of
>> kazavora at students.unibe.ch [kazavora at students.unibe.ch]
>> *Sent:* Monday, January 06, 2014 7:52 AM
>> *To:* corpora at uib.no
>> *Subject:* [Corpora-List] Neologisms
>>
>> Dear all,
>>
>> I am doing a corpus about neologism, looking at new words that evolved
>> in
>> the last couple of years and the word-formation process they went
>> throught.
>> Therefore I need a source where I can find all the new words that
>> evolved
>> in the last couple of years or the last decade. Do you have any helpful
>> links, etc.
>>
>> Thank you very much.
>>
>> Best wishes,
>>
>> Karoline Zavora
>>
>> _______________________________________________
>> UNSUBSCRIBE from this page: http://mailman.uib.no/options/corpora
>> Corpora mailing list
>> Corpora at uib.no
>> http://mailman.uib.no/listinfo/corpora
>>
>>
>
>
> --
> damien at nouvels.net
> GSM: +33 (0) 6 63 56 27 17
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> ------------------------------
>
> Message: 2
> Date: Tue, 14 Jan 2014 13:43:23 +0100
> From: Vera Demberg-Winterfors <v.demberg at gmx.de>
> Subject: [Corpora-List] Saarland University: Junior Faculty /
> Independent Research Group Leader Positions
> To: corpora <CORPORA at uib.no>
>
> The Cluster of Excellence "Multimodal Computing and Interaction" at
> Saarland University, Saarbrücken, Germany, seeks applications for a
> number of new Independent Research Group Leader positions. The Cluster
> provides a highly interdisciplinary research environment with a strong
> Computational Linguistics component. The Cluster's central research
> areas include 'Speech and Language Processing', 'Multimodal Dialog
> Systems' and 'Knowledge Management', amongst others.
> Group leaders will receive junior faculty status at Saarland University,
> including the right to supervise Bachelor, Master and PhD students. The
> independent research groups are equipped with a with a yearly budget to
> cover research personnel and other costs.
>
> Deadline for applications is February 28th, 2014.
>
> For the complete announcement see:
> http://www.uni-saarland.de/fileadmin/user_upload/Campus/Service/Stellenausschreibung/Wissenschaftliches_Personal/W801.pdf
>
> *Candidates should submit their application online at: *
> https://application.mmci.uni-saarland.de
>
> Additional information on the Excellence Cluster is available at
> http://www.mmci.uni-saarland.de/
>
> Please feel free to contact for further information any of the PIs
> (Matthew Crocker, Manfred Pinkal, Elke Teich, Hans Uszkoreit, Wolfgang
> Wahlster, Gerhard Weikum) or current heads of Independent Research
> Groups (Vera Demberg, Alexis Heloir, Maria Staudte, Ingmar Steiner) in
> the research areas mentioned above.
>
>
>
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> ------------------------------
>
> Message: 3
> Date: Tue, 14 Jan 2014 17:03:55 +0100
> From: Stephan Oepen <oe at ifi.uio.no>
> Subject: [Corpora-List] SemEval 2014 Task 8: Broad-Coverage Semantic
> Dependency Parsing
> To: corpora at uib.no, sigparse-list at lists.andrew.cmu.edu
>
> [with apologies for cross-posting]
>
> This is our second (and last) invitation for participation in Task 8 at
> SemEval 2014:
>
> Broad-Coverage Semantic Dependency Parsing
> http://alt.qcri.org/semeval2014/task8/
>
> Samples of semantic dependency graphs used in this task are available
> on-line, for interactive search and visualization:
>
> http://wesearch.delph-in.net/sdp
>
> The goal is to incorporate all content words in one semantic dependency
> graph: bi-lexical dependencies encode predicate?argument relations, and
> argument sharing is reflected through graph re-entrancies, for example
> representing control relations.
>
> This task seeks to stimulate the statistical parsing community to move
> towards graph-structured target representations, to facilitate semantic
> dependency parsing, i.e. an analysis of ?Who did What to Whom?. In the
> task setup, there is similarity to both data-driven dependency parsing
> and semantic role labeling. Besides practitioners from these ?classic?
> tasks, we further hope to attract participants with a general interest
> in natural language processing in terms of graph-shaped structures.
>
> As training data, we provide about 750,000 tokens of English newspaper
> text annotated with gold-standard semantic dependency graphs of three
> different types (dubbed DM, PAS, and PCEDT, each derived from ?deeper?
> syntactico-semantic annotations for parts of the venerable WSJ Corpus).
> All data is aligned at the sentence and token levels and distributed in
> a uniform file format. Test data will be drawn from the same genre.
>
> The task offers a closed and an open track, and participants are free
> to submit to either one or both. In the closed track, systems can be
> trained only on the data provided for the task, whereas the open track
> makes it possible to use additional resources, e.g. a syntactic parser.
>
> Following the common SemEval 2014 schedule, our training data has been
> available since mid-December, and evaluation will be towards the end of
> March 2014. Please see the task web pages for further details:
>
> http://alt.qcri.org/semeval2014/task8/
>
> We ask all interested parties to self-subscribe to the mailing list for
> this task: the subscription link is available from the above web page.
>
> Please do not hesitate to contact the task organizers for questions or
> clarifications, using the email address provided on the task web pages.
>
> Dan Flickinger, Jan Haji?, Marco Kuhlmann, Yusuke Miyao,
> Stephan Oepen, Yi Zhang, and Daniel Zeman
>
>
>
> ------------------------------
>
> Message: 4
> Date: Tue, 14 Jan 2014 20:36:54 +0100
> From: "Reinhard Rapp" <reinhardrapp at gmx.de>
> Subject: [Corpora-List] 2nd CfP: LREC 2014 Workshop on Building and
> Using Comparable Corpora (7th BUCC)
> To: <corpora at hd.uib.no>
>
> We apologize for multiple postings
> Please distribute to interested colleagues
>
> ============================================================
>
> 2nd Call for Papers
>
> 7th WORKSHOP ON BUILDING AND USING COMPARABLE CORPORA
>
> Building Resources for Machine Translation Research
>
> http://comparable.limsi.fr/bucc2014/
>
> May 27, 2014
> Co-located with LREC 2014
> Harpa Conference Centre, Reykjavik (Iceland)
>
> DEADLINE FOR PAPERS: February 10, 2014
> https://www.softconf.com/lrec2014/BUCC2014/
>
>
> *** INVITED SPEAKER ***
>
> Chris Callison-Burch (University of Pennsylvania)
>
> ============================================================
>
> MOTIVATION
>
> In the language engineering and the linguistics communities, research
> in comparable corpora has been motivated by two main reasons. In
> language engineering, on the one hand, it is chiefly motivated by the
> need to use comparable corpora as training data for statistical
> Natural Language Processing applications such as statistical machine
> translation or cross-lingual retrieval. In linguistics, on the other
> hand, comparable corpora are of interest in themselves by making
> possible inter-linguistic discoveries and comparisons. It is generally
> accepted in both communities that comparable corpora are documents in
> one or several languages that are comparable in content and form in
> various degrees and dimensions. We believe that the linguistic
> definitions and observations related to comparable corpora can improve
> methods to mine such corpora for applications of statistical NLP. As
> such, it is of great interest to bring together builders and users of
> such corpora.
>
> The scarcity of parallel corpora has motivated research concerning
> the use of comparable corpora: pairs of monolingual corpora selected
> according to the same set of criteria, but in different languages
> or language varieties. Non-parallel yet comparable corpora overcome
> the two limitations of parallel corpora, since sources for original,
> monolingual texts are much more abundant than translated texts.
> However, because of their nature, mining translations in comparable
> corpora is much more challenging than in parallel corpora. What
> constitutes a good comparable corpus, for a given task or per se,
> also requires specific attention: while the definition of a parallel
> corpus is fairly straightforward, building a non-parallel corpus
> requires control over the selection of source texts in both languages.
>
> Parallel corpora are a key resource as training data for statistical
> machine translation, and for building or extending bilingual lexicons
> and terminologies. However, beyond a few language pairs such as
> English- French or English-Chinese and a few contexts such as
> parliamentary debates or legal texts, they remain a scarce resource,
> despite the creation of automated methods to collect parallel corpora
> from the Web. To exemplify such issues in a practical setting, this
> year's special focus will be on
>
> Building Resources for Machine Translation Research
>
> This special topic aims to address the need for:
> (1) Machine Translation training and testing data such as spoken or
> written monolingual, comparable or parallel data collections, and
> (2) methods and tools used for collecting, annotating, and verifying
> MT data such as Web crawling, crowdsourcing, tools for language
> experts and for finding MT data in comparable corpora.
>
>
> TOPICS
>
> We solicit contributions including but not limited to the following
> topics:
>
> Topics related to the special theme:
> * Methods and tools for collecting and processing MT data,
> including crowdsourcing
> * Methods and tools for quality control
> * Tools for efficient annotation
> * Bilingual term and named entity collections
> * Multilingual treebanks, wordnets, propbanks, etc.
> * Comparable corpora with parallel units annotated
> * Comparable corpora for under-resourced languages and specific domains
> * Multilingual corpora with rich annotations:
> POS tags, NEs, dependencies, semantic roles, etc.
> * Data for special applications: patent translation, movie
> subtitles, MOOCs, meetings, chat-rooms, social media, etc.
> * Legal issues with collecting and redistributing data
> and generating derivatives
>
> Building comparable corpora:
> * Human translations
> * Automatic and semi-automatic methods
> * Methods to mine parallel and non-parallel corpora from the Web
> * Tools and criteria to evaluate the comparability of corpora
> * Parallel vs non-parallel corpora, monolingual corpora
> * Rare and minority languages, across language families
> * Multi-media/multi-modal comparable corpora
>
> Applications of comparable corpora:
> * Human translations
> * Language learning
> * Cross-language information retrieval & document categorization
> * Bilingual projections
> * Machine translation
> * Writing assistance
>
> Mining from comparable corpora:
> * Extraction of parallel segments or paraphrases from comparable corpora
> * Extraction of bilingual and multilingual translations of single words
> and multi-word expressions; proper names, named entities, etc.
>
>
> IMPORTANT DATES
>
> February 10, 2014 Deadline for submission of full papers
> March 10, 2014 Notification of acceptance
> March 27, 2014 Camera-ready papers due
> May 27, 2014 Workshop date
>
>
> SUBMISSION INFORMATION
>
> Papers should follow the LREC main conference formatting details (to be
> announced on the conference website http://lrec2014.lrec-conf.org/en/ )
> and should be submitted as a PDF-file via the START workshop manager at
> https://www.softconf.com/lrec2014/BUCC2014/
>
> Contributions can be short or long papers. Short paper submission must
> describe original and unpublished work without exceeding six (6)
> pages. Characteristics of short papers include: a small, focused
> contribution; work in progress; a negative result; an opinion piece;
> an interesting application nugget. Long paper submissions must
> describe substantial, original, completed and unpublished work without
> exceeding ten (10) pages.
>
> Reviewing will be double blind, so the papers should not reveal the
> authors' identity. Accepted papers will be published in the workshop
> proceedings.
>
> Double submission policy: Parallel submission to other meetings or
> publications is possible but must be immediately notified to the
> workshop organizers.
>
> When submitting a paper from the START page, authors will be asked to
> provide essential information about resources (in a broad sense,
> i.e. also technologies, standards, evaluation kits, etc.) that have
> been used for the work described in the paper or are a new result of
> your research. Moreover, ELRA encourages all LREC authors to share
> the described LRs (data, tools, services, etc.), to enable their
> reuse, replicability of experiments, including evaluation ones, etc.
>
> For further information, please contact
> Pierre Zweigenbaum pz (at) limsi (dot) fr
>
>
> ORGANISERS
>
> Pierre Zweigenbaum, LIMSI, CNRS, Orsay (France)
> Ahmet Aker, University of Sheffield (UK)
> Serge Sharoff, University of Leeds (UK)
> Stephan Vogel, QCRI (Qatar)
> Reinhard Rapp, Universities of Mainz (Germany) and Aix-Marseille
> (France)
>
>
> SCIENTIFIC COMMITTEE
>
> * Ahmet Aker, University of Sheffield (UK)
> * Srinivas Bangalore (AT&T Labs, US)
> * Caroline Barrière (CRIM, Montréal, Canada)
> * Chris Biemann (TU Darmstadt, Germany)
> * Hervé Déjean (Xerox Research Centre Europe, Grenoble, France)
> * Kurt Eberle (Lingenio, Heidelberg, Germany)
> * Andreas Eisele (European Commission, Luxembourg)
> * Éric Gaussier (Université Joseph Fourier, Grenoble, France)
> * Gregory Grefenstette (INRIA, Saclay, France)
> * Silvia Hansen-Schirra (University of Mainz, Germany)
> * Hitoshi Isahara (Toyohashi University of Technology)
> * Kyo Kageura (University of Tokyo, Japan)
> * Adam Kilgarriff (Lexical Computing Ltd, UK)
> * Natalie Kübler (Université Paris Diderot, France)
> * Philippe Langlais (Université de Montréal, Canada)
> * Michael Mohler (Language Computer Corp., US)
> * Emmanuel Morin (Université de Nantes, France)
> * Dragos Stefan Munteanu (Language Weaver, Inc., US)
> * Lene Offersgaard (University of Copenhagen, Denmark)
> * Ted Pedersen (University of Minnesota, Duluth, US)
> * Reinhard Rapp (Université Aix-Marseille, France)
> * Sujith Ravi (Google, Mountain View, US)
> * Serge Sharoff (University of Leeds, UK)
> * Michel Simard (National Research Council Canada)
> * Richard Sproat (OGI School of Science & Technology, US)
> * Tim Van de Cruys (IRIT-CNRS, Toulouse, France)
> * Stephan Vogel (QCRI, Qatar)
> * Guillaume Wisniewski (Université Paris Sud & LIMSI-CNRS, Orsay,
> France)
> * Pierre Zweigenbaum (LIMSI-CNRS, Orsay, France)
>
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> ------------------------------
>
> Message: 5
> Date: Wed, 15 Jan 2014 02:07:39 +0400
> From: Ekaterina Shutova <katia at icsi.berkeley.edu>
> Subject: [Corpora-List] ACL 2014 Workshop on Metaphor in NLP: second
> call for papers
> To: corpora at uib.no, elsnet-list at elsnet.org
>
> SECOND CALL FOR PAPERS
>
>
>
>
> The Second Workshop on Metaphor in NLP
>
>
> (co-located with ACL 2014)
>
>
> Baltimore, MD, USA ? June 26, 2014
>
>
>
> https://sites.google.com/site/workshoponmetaphorinnlp/
>
>
> Submission deadline: March 25, 2014
>
>
>
> WORKSHOP DESCRIPTION
>
>
> Metaphor processing is a rapidly growing area in NLP. The ubiquity of
> metaphor in language has been established in a number of corpus
> studies and the role it plays in human reasoning has been confirmed in
> psychological experiments. This makes metaphor an important research
> area for computational and cognitive linguistics, and its automatic
> identification and interpretation indispensable for any
> semantics-oriented NLP application.
>
> The work on metaphor in NLP and AI started in the 1980s, providing us
> with a wealth of ideas on the structure and mechanisms of the
> phenomenon. The last decade witnessed a technological leap in natural
> language computation, whereby manually crafted rules gradually give
> way to more robust corpus-based statistical methods. This is also the
> case for metaphor research. In the recent years, the problem of
> metaphor modeling has been steadily gaining interest within the NLP
> community, with a growing number of approaches exploiting statistical
> techniques. Compared to more traditional approaches based on
> hand-coded knowledge, these more recent methods tend to have a wider
> coverage, as well as be more efficient, accurate and robust. However,
> even the statistical metaphor processing approaches so far often
> focused on a limited domain or a subset of phenomena. At the same
> time, recent work on computational lexical semantics and lexical
> acquisition techniques, as well as a wide range of NLP methods
> applying machine learning to open-domain semantic tasks, open many new
> avenues for creation of large-scale robust tools for recognition and
> interpretation of metaphor.
>
>
> The main focus of the workshop will be on computational modeling of
> metaphor using state-of-the-art NLP techniques. However, papers on
> cognitive, linguistic, and applied aspects of metaphor are also of
> interest, provided that they are presented within a computational, a
> formal or a quantitative framework. We also encourage descriptions of
> proposals and data sets for shared tasks on metaphor processing. In
> comparison to last year's workshop, the Second Workshop on Metaphor in
> NLP will broaden its scope by encouraging submissions on special
> themes of computational processing of emotions and affect in metaphor,
> as well as processing of metaphorical language in social media.
>
>
> The workshop will solicit both full papers and short papers for either
> oral or poster presentation.
>
>
> Topics will include, but will not be limited to, the following:
>
>
>
> Identification and interpretation of different levels and types of
> metaphor:
>
> Conceptual and linguistic metaphor
>
> Lexical metaphor
>
> Multiword metaphorical expressions
>
> Extended metaphor / metaphor in discourse
>
> Conventional / novel / deliberate metaphor
>
>
>
> Metaphor processing systems that incorporate state-of-the-art NLP methods:
>
> Statistical metaphor processing
>
> The use of lexical resources for metaphor processing
>
> The use of corpora for metaphor processing
>
> Distributional methods for metaphor processing
>
> Supervised and unsupervised learning for metaphor processing
>
> Identification of conceptual and linguistic metaphor
>
> Identification and interpretation of lexical metaphor / multiword
> metaphor / extended metaphor
>
> Lexical metaphor interpretation vs. word sense disambiguation
>
> Metaphor paraphrasing
>
> Generation of metaphorical expressions
>
> Metaphor translation and multilingual metaphor processing
>
>
>
> Metaphor resources and evaluation:
>
> Metaphor annotation in corpora
>
> Metaphor in lexical resources
>
> Reliability of metaphor annotation
>
> Datasets for evaluation of metaphor processing tools
>
> Metaphor evaluation methodologies and frameworks
>
> Descriptions of proposals for shared tasks on metaphor processing
>
>
>
> Metaphor processing for external NLP applications:
>
> Metaphor in machine translation
>
> Metaphor in opinion mining
>
> Metaphor in information retrieval
>
> Metaphor in educational applications
>
> Metaphor in dialog systems
>
> Metaphor in open-domain and domain-specific applications
>
>
>
> Metaphor and cognition:
>
> Computational approaches to metaphor inspired by cognitive evidence
>
> Cognitive models of metaphor processing by the human brain
>
> Models of metaphor across languages and cultures
>
>
>
> Metaphor interaction with other phenomena (within a computational,
> formal or quantitative framework):
>
> Metaphor and compositionality
>
> Metaphor and abstractness / concreteness
>
> Metaphor and sentiment
>
> Metaphor and persuasion
>
> Metaphor and argumentation
>
> Metaphor and metonymy
>
> Metaphor and grammar
>
>
>
> Metaphor and sentiment:
>
> The use of metaphorical language to express stronger sentiment /
> evaluation
>
> Sentiment processing systems that make use of metaphor as a feature
>
> Sentiment processing systems that detect affect associated with
> metaphorical expressions
>
>
>
> Metaphor in social media:
>
> Processing of metaphorical language in blogging, twitter and other social
> media
>
> How metaphorical language helps shape communication in social media
>
> The influence of metaphor on social dynamics
>
>
>
>
> IMPORTANT DATES
>
>
> March 25, 2014 Paper submissions due (23:59 East Coast USA time)
>
> April 14, 2014 Notification of Acceptance
>
> April 28, 2014 Camera-ready papers due
>
> June 26, 2014 Workshop in Baltimore, Maryland, USA
>
>
>
> SUBMISSION INFORMATION
>
>
> Authors are invited to submit a full paper of up to 8 pages, with up
> to 2 additional pages for references. We also invite short papers of
> up to 4 pages, with up to 2 additional pages for references.
>
> All submissions should follow the two-column format of ACL 2014
> proceedings. Please use ACL LaTeX style files or Microsoft Word style
> files tailored for this year's conference; these style files are
> available from ACL 2014 website. Submissions must conform to the
> official style guidelines, which are contained in the style files, and
> they must be electronic in PDF format. Please see acl2014.pdf for
> detailed formatting instructions.
>
>
> Previously published papers cannot be accepted. The submissions will
> be reviewed by the program committee. As reviewing will be blind,
> please ensure that papers are anonymous. Self-references that reveal
> the author's identity, e.g., "We previously showed (Smith, 1991) ...",
> should be avoided. Instead, use citations such as "Smith previously
> showed (Smith, 1991) ...". Papers that do not conform to these
> requirements will be rejected without review. In addition, please do
> not post your submissions on the web until after the review process is
> complete.
>
>
>
> WORKSHOP CO-CHAIRS
>
>
> Beata Beigman Klebanov, Educational Testing Service, USA
>
> Ekaterina Shutova, University of California, Berkeley, USA
>
> Patricia Lichtenstein, University of California, Merced, USA
>
>
>
> PROGRAM COMMITTEE
>
>
> John Barnden, University of Birmingham, UK
>
> Yulia Badryzlova, Higher School of Economics, Moscow, Russia
>
> Ted Briscoe, University of Cambridge, UK
>
> Danushka Bollegala, University of Liverpool, UK
>
> Stephen Clark, University of Cambridge, UK
>
> Paul Cook, University of Melbourne, Australia
>
> Gerard de Melo, University of California at Berkeley, USA
>
> Jonathan Dunn, Purdue University, USA
>
> Anna Feldman, Montclair State University, USA
>
> Jerry Feldman, University of California at Berkeley, USA
>
> Michael Flor, Educational Testing Service, USA
>
> Yanfen Hao, Hour Group Inc., Calgary, Alberta, Canada
>
> Ed Hovy, Carnegie Mellon University, USA
>
> Valia Kordoni, Humboldt University Berlin, Germany
>
> Mark Lee, University of Birmingham, UK
>
> Annie Louis, University of Edinburgh, UK
>
> Katja Markert, University of Leeds, UK
>
> James H. Martin, University of Colorado at Boulder, USA
>
> Saif Mohammad, National Research Council Canada, Canada
>
> Behrang Mohit, Carnegie Mellon University in Qatar, Qatar
>
> Preslav Nakov, Qatar Computing Research Institute, Qatar
>
> Srini Narayanan, University of California, Berkeley, USA
>
> Ani Nenkova, University of Pennsylvania, USA
>
> Yair Neuman, Ben Gurion University, Israel
>
> Malvina Nissim, University of Bologna, Italy
>
> Thierry Poibeau, Ecole Normale Superieure and CNRS, France
>
> Antonio Reyes, Instituto Superior de Iterpretes y Traductores, Mexico
>
> Paolo Rosso, Universidad Politécnica de Valencia, Spain
>
> Eyal Sagi, Northwestern University, USA
>
> Sabine Schulte im Walde, Stuttgart University, Germany
>
> Diarmuid O'Seaghdha, University of Cambridge, UK
>
> Caroline Sporleder, Saarland University, Germany
>
> Mark Steedman, University of Ediburgh, UK
>
> Gerard Steen, VU University of Amsterdam, The Netherlands
>
> Mark Stevenson, University of Sheffield, UK
>
> Carlo Strapparava, Fondazione Bruno Kessler, Italy
>
> Tomek Strzalkowski, State University of New York at Albany, USA
>
> Marc Tomlinson, LCC, USA
>
> Oren Tsur, Hebrew University, Israel
>
> Peter Turney, National Research Council Canada, Canada
>
> Tony Veale, Korean Advanced Institute for Science and Technology,
> Republic of Korea
>
> Aline Villavicencio, Federal University of Rio Grande do Sul, Brazil
> and MIT, USA
>
> Andreas Vlachos, University of Cambridge, UK
>
> Jan Wiebe, University of Pittsburgh, USA
>
>
>
> ----------------------------------------------------------------------
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> End of Corpora Digest, Vol 79, Issue 15
> ***************************************
>
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