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native-language-identification-shared-task-2013 [2013/01/16 07:45] ufal |
native-language-identification-shared-task-2013 [2013/02/12 13:41] (current) ufal |
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* **Home page:** [[https:// | * **Home page:** [[https:// | ||
- | * **Team:** Barbora Hladka (contact person, related projects, data, ML), Martin Holub (algorithms, | + | * **Team:** Barbora Hladka (contact person, related projects, data, ML), Martin Holub (algorithms, |
- | * **Important Dates:** | + | |
- | * January 14 Training Data Release | + | |
+ | * <del>January 14 Training Data Release</ | ||
* March 11 Test Data Release | * March 11 Test Data Release | ||
* March 18 Submissions Due | * March 18 Submissions Due | ||
Line 15: | Line 16: | ||
* June 13 or 14 NLI Shared Task Presentations @ [[http:// | * June 13 or 14 NLI Shared Task Presentations @ [[http:// | ||
* **Data:** TBA | * **Data:** TBA | ||
- | * **References* * | + | * **References** |
- | - Brooke, Julian, Greme Hirst. Native language detectin with ' | + | - **!!!** Brooke, Julian, Greme Hirst. Robust lexicalized native language identification. |
- | | + | - Brooke, Julian, Greme Hirst. Native language detectin with ' |
- | - Wong, Sze-Meng Jojo, Dras Mark, Johnson, Mark. Topic Modeling for Native Language Identification. In Proceedings of Australasian Language Technology Association Workshop, pp. 115-124 ([[http:// | + | |
+ | * they discuss topic bias - Do we have to care about it in the NLI task? | ||
+ | * Feature set: [character|POS|word] n-grams, function words, features from machine translation, | ||
+ | * Machine learning algorithm: ?? | ||
+ | - Wong, Sze-Meng Jojo, Dras Mark. Exploiting parse structures for native language identification. In // | ||
+ | - Wong, Sze-Meng Jojo, Dras Mark, Johnson, Mark. Topic Modeling for Native Language Identification. In //Proceedings of Australasian Language Technology Association Workshop//, pp. 115-124. 2011. ([[http:// | ||
+ | - **!!!** Wong, Sze-Meng Jojo, Dras Mark, Johnson, Mark. Exploring Adaptor Grammars for Native Language Identification. In Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, pages 699-709. 2012. ([[http:// |