2009/12/29
2009/12/27
2009/11/26
2009/11/22
2009/11/20
2009/11/15
El reporte ya esta casi acabado
hay una conferencia importante en milan
Friday 4 December 2009
8:30-9:15 | Registration |
9:15-9:30 | Opening |
9:30-10:30 | Invited lecture: Eva Hajičová From Prague Structuralism to Treebank Annotation |
10:30-11:00 | Coffee break |
11:00-12:30 | Session A Chair: Koenraad De Smedt |
11:00-11:30 | Federico Sangati and Chiara Mazza An English Dependency Treebank à la Tesnière |
11:30-12:00 | Katri Haverinen, Filip Ginter, Veronika Laippala, Timo Viljanen and Tapio Salakoski Dependency Annotation of Wikipedia: First Steps Towards a Finnish Treebank |
12:00-12:30 | Markus Dickinson and Marwa Ragheb Dependency Annotation for Learner Corpora |
12:30-14:00 | Lunch |
14:00-15:30 | Session B Chair: Adam Przepiórkowski |
14:00-14:30 | Jörg Tiedemann and Gideon Kotzé Building a Large Machine-Aligned Parallel Treebank |
14:30-15:00 | Marie Mikulová and Jan Štĕpánek Annotation Quality Checking and Its Implications for Design of Treebank (in Building the Prague Czech-English Dependency Treebank) |
15:00-15:30 | Alina Wróblewska and Anette Frank Cross-Lingual Projection of LFG F-Structures: Building an F-Structure Bank for Polish |
15:30-16:00 | Coffee break |
16:00-17:30 | Poster session |
Eduard Bejček, Pavel Straňák and Jan Hajič Finalising Multiword Annotations in PDT | |
Kristýna Čermáková, Lucie Mladová, Eva Fučíková and Kateřina Veselá Annotation of Selected Non-dependency Relations in a Dependency Treebank | |
Barbara McGillivray Selectional Preferences from a Latin Treebank | |
Helge Dyvik, Paul Meurer, Victoria Rosén and Koenraad De Smedt Linguistically Motivated Parallel Parsebanks |
Saturday 5 December 2009
9:30-10:30 | Invited lecture: Roberto Busa SJ From Punched Cards to Treebanks: 60 Years of Computational Linguistics |
10:30-11:00 | Coffee break |
11:00-12:30 | Session C Chair: Anette Frank |
11:00-11:30 | David Bamman, Francesco Mambrini and Gregory Crane An Ownership Model of Annotation: The Ancient Greek Dependency Treebank |
11:30-12:00 | Johan Bos, Cristina Bosco and Alessandro Mazzei Converting a Dependency Treebank to a Categorial Grammar Treebank for Italian |
12:00-12:30 | Torsten Marek, Gerold Schneider and Martin Volk A Declarative Formalism for Constituent-to-Dependency Conversion |
12:30-14:00 | Lunch |
14:00-15:30 | Session D Chair: Victoria Rosén |
14:00-14:30 | Seth Kulick and Ann Bies Treebank Analysis and Search Using an Extracted Tree Grammar |
14:30-15:00 | Adam Przepiórkowski TEI P5 as an XML Standard for Treebank Encoding |
15:00-15:30 | Ines Rehbein, Josef Ruppenhofer and Jonas Sunde MaJo - A Toolkit for Supervised Word Sense Disambiguation and Active Learning |
15:30-16:00 | Coffee break |
16:00-17:30 | Session E Chair: Charles J. Fillmore |
16:00-16:30 | Karin Harbusch and Gerard Kempen Clausal Coordinate Ellipsis and its Varieties in Spoken German: A Study with the TüBa-D/S Treebank of the VERBMOBIL Corpus |
16:30-17:00 | Jana Šindlerová and Ondřej Bojar Towards English-Czech Parallel Valency Lexicon via Treebank Examples |
17:00-17:30 | António Branco, Sara Silveira, Sérgio Castro, Mariana Avelãs, Clara Pinto and Francisco Costa Dynamic Propbanking with Deep Linguistic Grammars |
17:30-17:45 | Closing session |
2009/11/11
2009/11/10
2009/11/01
2009/10/31
2009/10/28
2009/10/23
2009/10/20
2009/10/19
2009/10/18
2009/10/11
2009/10/09
2009/10/03
2009/10/01
2009/09/28
2009/09/26
2009/09/23
2009/08/31
2009/08/21
2009/08/12
2009/08/07
2009/07/30
SVM
SVM:
general: http://www.support-vector-machines.org/
LIBSVM: http://www.csie.ntu.edu.tw/~cjlin/libsvm/ (C++)
SVMLIGHT: http://svmlight.joachims.org/ (C++)
BIOJAVA: http://www.biojava.org/ (The package org.biojava.stats.svm contains SVM classification and regression.) (JAVA)
Package pt.tumba.ngram.svm: http://tcatng.sourceforge.net/javadocs/pt/tumba/ngram/svm/package-summary.html (JAVA)
The following packages either implement SVM by themselves or wrap some SVM packages written in C/C++.
RapidMiner: http://rapid-i.com/
WEKA: http://www.cs.waikato.ac.nz/ml/weka/
MALLET: http://mallet.cs.umass.edu/
MINORTHIRD: http://minorthird.sourceforge.net/
general: http://www.support-vector-machines.org/
LIBSVM: http://www.csie.ntu.edu.tw/~cjlin/libsvm/ (C++)
SVMLIGHT: http://svmlight.joachims.org/ (C++)
BIOJAVA: http://www.biojava.org/ (The package org.biojava.stats.svm contains SVM classification and regression.) (JAVA)
Package pt.tumba.ngram.svm: http://tcatng.sourceforge.net/javadocs/pt/tumba/ngram/svm/package-summary.html (JAVA)
The following packages either implement SVM by themselves or wrap some SVM packages written in C/C++.
RapidMiner: http://rapid-i.com/
WEKA: http://www.cs.waikato.ac.nz/ml/weka/
MALLET: http://mallet.cs.umass.edu/
MINORTHIRD: http://minorthird.sourceforge.net/
2009/07/28
2009/07/21
Pascal Challenge
Pascal Challenge on
Large Scale Hierarchical Text classification
Web site: http://lshtc.iit.demokritos.gr/
Email: lshtc_info@iit.demokritos.gr
We are pleased to announce the launch of the Large Scale Hierarchical Text classification (LSHTC) Pascal Challenge. The LSHTC Challenge is a
hierarchical text classification competition using large datasets based on the ODP Web directory data (www.dmoz.org).
Hierarchies are becoming ever more popular for the organization of text
documents, particularly on the Web. Web directories are an example. Along with their widespread use, comes the need for automated classification of new documents to the categories in the hierarchy. As the size of the hierarchy grows and the number of documents to be classified increases, a number of interesting machine learning problems arise. In particular, it is one of the rare situations where data sparsity remains an issue despite the vastness of available data. The reasons for this are the simultaneous increase in the number of classes and their hierarchical organization. The latter leads to a very high imbalance between the classes at different levels of the hierarchy. Additionally, the statistical dependence of the classes poses challenges and opportunities for the learning methods.
The challenge will consist of four tasks with partially overlapping data. Information regarding the tasks and the challenge rules can be found at challenge Web site, under the "Tasks, Rules and Guidelines" link.
We plan a two-stage evaluation of the participating methods: one measuring classification performance and one computational performance. It is important to measure both, as they are dependent. The results will be included in a final report about the challenge and we also aim at organizing a special NIPS'09 workshop.
In order to register for the challenge and gain access to the datasets,
please create a new account at challenge Web site.
Key dates:
Start of testing: July 10, 2009.
End of testing, submission of executables and short papers: September 29, 2009.
End of scalability test and announcement of results: October 25, 2009.
NIPS'09 workshop (subject to approval): December 11-12, 2009
Organisers:
Eric Gaussier, LIG, Grenoble, France
George Paliouras, NCSR "Demokritos", Athens, Greece
Aris Kosmopoulos, NCSR "Demokritos", Athens, Greece
Sujeevan Aseervatham, LIG, Grenoble & Yakaz, Paris, France
Large Scale Hierarchical Text classification
Web site: http://lshtc.iit.demokritos.gr/
Email: lshtc_info@iit.demokritos.gr
We are pleased to announce the launch of the Large Scale Hierarchical Text classification (LSHTC) Pascal Challenge. The LSHTC Challenge is a
hierarchical text classification competition using large datasets based on the ODP Web directory data (www.dmoz.org).
Hierarchies are becoming ever more popular for the organization of text
documents, particularly on the Web. Web directories are an example. Along with their widespread use, comes the need for automated classification of new documents to the categories in the hierarchy. As the size of the hierarchy grows and the number of documents to be classified increases, a number of interesting machine learning problems arise. In particular, it is one of the rare situations where data sparsity remains an issue despite the vastness of available data. The reasons for this are the simultaneous increase in the number of classes and their hierarchical organization. The latter leads to a very high imbalance between the classes at different levels of the hierarchy. Additionally, the statistical dependence of the classes poses challenges and opportunities for the learning methods.
The challenge will consist of four tasks with partially overlapping data. Information regarding the tasks and the challenge rules can be found at challenge Web site, under the "Tasks, Rules and Guidelines" link.
We plan a two-stage evaluation of the participating methods: one measuring classification performance and one computational performance. It is important to measure both, as they are dependent. The results will be included in a final report about the challenge and we also aim at organizing a special NIPS'09 workshop.
In order to register for the challenge and gain access to the datasets,
please create a new account at challenge Web site.
Key dates:
Start of testing: July 10, 2009.
End of testing, submission of executables and short papers: September 29, 2009.
End of scalability test and announcement of results: October 25, 2009.
NIPS'09 workshop (subject to approval): December 11-12, 2009
Organisers:
Eric Gaussier, LIG, Grenoble, France
George Paliouras, NCSR "Demokritos", Athens, Greece
Aris Kosmopoulos, NCSR "Demokritos", Athens, Greece
Sujeevan Aseervatham, LIG, Grenoble & Yakaz, Paris, France
2009/07/13
2009/07/09
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