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ITU Validation Set for Metu-Sabancı Turkish Treebank

Yıl 2014, Cilt: 7 Sayı: 1, 31 - 37, 02.11.2014

Gülşen Eryiğit Tuğba Pamay

Öz

This paper presents the ITU Turkish Dependency Validation Set firstly introduced in 2007 [36] in order to serve as the test set of the CoNLL-XI shared task (shared task of the Conference on Computational Natural Language Learning 2007 [28] ). The dataset is available from http://web.itu.edu.tr/gulsenc/treebanks.html and is used by several academic studies so far.

Kaynakça

  • [1] Atalay, N. B., Oflazer, K., and Say, B.. 2003. The annotation process in the turkish treebank. In Proceedings of the EACL Workshop on Linguistically Interpreted Corpora.
  • [2] Attardi, G.. 2006. Experiments with a multilanguage non-projective dependency parser. In Proceedings of CONLL-X, pages 166-170, New York.
  • [3] Bick, E.. 2006. LingPars, a Linguistically Inspired, Language-Independent Machine Learner for Dependency Treebanks. In Proceedings of CONLL-X, pages 171-175, New York.
  • [4] Buchholz, S., and Marsi, E.. 2006. Conll-X shared task on multilingual dependency parsing. In Proceedings of CONLL-X, pages 149-164, New York.
  • [5] Çakıcı, R., and Baldridge, J.. 2006. Projective and Non-Projective Turkish Parsing. In Proceedings of the 5th International Treebanks and Linguistic Theories Conference, pages 43-54, Prague.
  • [6] Canisius, S., Bogers, T., Bosch van de, A., Geertzen, J., and Tjong Kim Sang, E.. 2006. Dependency Parsing by Inference over High-recall Dependency Predictions, pages 176-180, New York.
  • [7] Carreras, X., Surdeanu, M., and Marquez, L.. 2006. Projective dependency parsing with perceptron, In Proceedings of CONLL-X, pages 181-185, New York
  • [8] Chang, M.W., Do, Q., and Roth, D.. 2006. A pipeline model for bottom-up dependency parsing. In Proceedings of CONLL-X, pages 186-190, New York.
  • [9] Cheng, Y., Asahara, M., and Matsumoto, Y.. 2006. Multi-lingual dependency parsing at NAIST. In Proceedings of CONLL-X, pages 191-195, New York.
  • [10] Corston-Oliver, S., and Aue, A.. 2006. Dependency parsing with reference to Slovene, Spanish and Swedish. In Proceedings of CONLL-X, pages 196-200, New York.
  • [11] Dreyer, M., Smith, D. A., and Smith, N. A.. 2006. Vine parsing and minimum risk reranking for speed and precision. In Proceedings of CONLL-X, pages 201-205, New York . [12] Eryiğit, G., and Oflazer, K.. 2006. Statistical dependency parsing of Turkish. In Proceedings of EACL’06, pages 89-96, Trento.
  • [13] Eryiğit, G., Adalı, E., and Oflazer, K.. 2006a. Türkçe cümlelerin kural tabanlı bağlılık analizi (Rule-based dependency parsing of Turkish sentences). In Proceedings of the 15th Turkish Symposium on Artificial Intelligence and Neural Networks, pages 17- 24, Muğla.
  • [14] Eryiğit, G., Nivre, J., and Oflazer, K.. 2006b. The incremental use of morphological information and lexicalization in data-driven dependency parsing. Computer Processing of Oriental Languages, Beyond the Orient: The Research Challenges Ahead, Springer, LNAI 4285:498-507.
  • [15] Eryiğit, G.. 2006. Türkçenin Bağlılık Ayrıştırması (Dependency Parsing of Turkish). Ph.D. thesis, Istanbul Technical University, Istanbul.
  • [16] Johansson, R. and Nugues P.. 2006. Investigating multilingual dependency parsing. In Proceedings of CONLL-X, pages 206-210, New York
  • [17] Liu, T., Ma, J., Zhu, H., and Li S.. 2006. Dependency parsing based on dynamiz local optimization. In Proceedings of CONLL-X, pages 211-215, New York.
  • [18] McDonald, R., Lerman, K., and Pereira, F.. 2006. Multilingual dependency analysis with a two-stage discriminative parser. In Proceedings of CONLL-X, pages 216-220, New York.
  • [19] Nivre, J., Hall, J.,Nilsson, J., Chanev, A., Eryiğit, G., Kübler, S., Marinov, S., and Marsi, Erwin.. 2007. MaltParser: A language-independent system for datadriven dependency parsing. Natural Language Engineering Journal, 13(1):1-41.
  • [20] Oflazer, K., Say, B., Hakkani-Tür D. Z., and Tür, G.. 2003. Building a Turkish treebank. In A. Abeillé, editor, Treebanks: Building and Using PArsed Corpora, pages 261-277. Kluwer, London.
  • [21] Oflazer, K., 1994. Two-level description of Turkish morphology. Literary and Linguistic Computing, 9(2):137-148.
  • [22] Riedel, S., Çakıcı, R., and Meza-Ru,z, I.. 2006. Multilingual dependency parsing with incremental integer linear programming. In Proceedings of CONLL-X, pages 226-230, New York.
  • [23] Say, B.. 2004. Metu-sabancı turkish treebank user guide.
  • [24] Schiehlen, M., and Spranger, K.. 2006. Language independent probabilistic context-Free parsing bolstered by machine learning. In Proceedings of CONLL-X, pages 231-235, New York.
  • [25] Shimizu, N.. 2006. Maximum spanning tree algorithm for non-projective labeled dependency parsing. In Proceedings of CONLL-X, pages 241-245, New York
  • [26] Wu, Y.C., Lee, Y.S., and Yang, J.C.. 2006. The exploriation of deterministic and efficient dependency parsing. In Proceedings of CONLL-X, pages 241-245, New York.
  • [27] Yüret, D.. 2006. Dependency parsing as a classification problem. In Proceedings of CONLL-X, pages 246-250, New York.
  • [28] Nivre, J., Hall, J., Kübler, S., McDonald, R., Nilsson, J., Riedel S., and Yüret, D. 2007. The CoNLL 2007 shared task on dependency parsing. In Proceedings of the CoNLL Shared Task Session of EMNLP-CoNLL, pages 915-932. Prague.
  • [29] Meral, H. M., Sankur, B., Özsoy, A. S., Güngör, T., and Sevinç, E. 2009. Natural language watermaking via morphosyntactic alterations. Retrieved from DOI: 10.1016/j.csl.2008.04.001
  • [30] Eryiğit, G., İlbay, T., and Can, O. A. 2011. Multiword expressions in statistical dependency parsing. In Proceedings of the Second Workshop on Statistical Parsing of Morphologically Rich Languages(SPMRL), pages 45-55. Dublin, Ireland.
  • [31] Eryiğit, G.. The impact of automatic morphological analysis & disambiguation on dependency parsing of Turkish. 2012.
  • [32] Çetinoğlu, Ö., and Kuhn, J. 2013. Towards joint morphological analysis and dependency parsing of Turkish. In Proceedings of the Second International Conference on Dependency Linguistics(DepLing), pages 23-32. Prague.
  • [33] Goenaga, I., Ezeiza, N., and Gojenola, K. 2013. Exploiting the Contribution of Morphological Information to Parsing: the BASQUE_TEAM system in the SPRML’2013 Shared Task.In Proceedings of the Fourth Workshop on Statistical Parsing of Morphologically Rich Languages, pages 71-77. Seattle, Washington, USA.
  • [34] Durgar El-Kahlout, İ., Akın, A.A., and Yılmaz, E. 2014. Initial explorations in two-phase Turkish dependency parsing by incorporating constituents. In First Joint Workshop on Statistical Parsing of Morphologically Rich Languages and Syntactic Analysis of Non-Canonical Languages, pages 82-89. Dublin, Ireland.
  • [35] Çetinoğlu, Ö. Turkish Treebank as a gold standard for morphological disambiguation and its influence on parsing. [36] Eryiğit, G. 2007. ITU Validation Set for Metu-Sabancı Turkish Treebank.

Yıl 2014, Cilt: 7 Sayı: 1, 31 - 37, 02.11.2014

Gülşen Eryiğit Tuğba Pamay

Öz

Kaynakça

  • [1] Atalay, N. B., Oflazer, K., and Say, B.. 2003. The annotation process in the turkish treebank. In Proceedings of the EACL Workshop on Linguistically Interpreted Corpora.
  • [2] Attardi, G.. 2006. Experiments with a multilanguage non-projective dependency parser. In Proceedings of CONLL-X, pages 166-170, New York.
  • [3] Bick, E.. 2006. LingPars, a Linguistically Inspired, Language-Independent Machine Learner for Dependency Treebanks. In Proceedings of CONLL-X, pages 171-175, New York.
  • [4] Buchholz, S., and Marsi, E.. 2006. Conll-X shared task on multilingual dependency parsing. In Proceedings of CONLL-X, pages 149-164, New York.
  • [5] Çakıcı, R., and Baldridge, J.. 2006. Projective and Non-Projective Turkish Parsing. In Proceedings of the 5th International Treebanks and Linguistic Theories Conference, pages 43-54, Prague.
  • [6] Canisius, S., Bogers, T., Bosch van de, A., Geertzen, J., and Tjong Kim Sang, E.. 2006. Dependency Parsing by Inference over High-recall Dependency Predictions, pages 176-180, New York.
  • [7] Carreras, X., Surdeanu, M., and Marquez, L.. 2006. Projective dependency parsing with perceptron, In Proceedings of CONLL-X, pages 181-185, New York
  • [8] Chang, M.W., Do, Q., and Roth, D.. 2006. A pipeline model for bottom-up dependency parsing. In Proceedings of CONLL-X, pages 186-190, New York.
  • [9] Cheng, Y., Asahara, M., and Matsumoto, Y.. 2006. Multi-lingual dependency parsing at NAIST. In Proceedings of CONLL-X, pages 191-195, New York.
  • [10] Corston-Oliver, S., and Aue, A.. 2006. Dependency parsing with reference to Slovene, Spanish and Swedish. In Proceedings of CONLL-X, pages 196-200, New York.
  • [11] Dreyer, M., Smith, D. A., and Smith, N. A.. 2006. Vine parsing and minimum risk reranking for speed and precision. In Proceedings of CONLL-X, pages 201-205, New York . [12] Eryiğit, G., and Oflazer, K.. 2006. Statistical dependency parsing of Turkish. In Proceedings of EACL’06, pages 89-96, Trento.
  • [13] Eryiğit, G., Adalı, E., and Oflazer, K.. 2006a. Türkçe cümlelerin kural tabanlı bağlılık analizi (Rule-based dependency parsing of Turkish sentences). In Proceedings of the 15th Turkish Symposium on Artificial Intelligence and Neural Networks, pages 17- 24, Muğla.
  • [14] Eryiğit, G., Nivre, J., and Oflazer, K.. 2006b. The incremental use of morphological information and lexicalization in data-driven dependency parsing. Computer Processing of Oriental Languages, Beyond the Orient: The Research Challenges Ahead, Springer, LNAI 4285:498-507.
  • [15] Eryiğit, G.. 2006. Türkçenin Bağlılık Ayrıştırması (Dependency Parsing of Turkish). Ph.D. thesis, Istanbul Technical University, Istanbul.
  • [16] Johansson, R. and Nugues P.. 2006. Investigating multilingual dependency parsing. In Proceedings of CONLL-X, pages 206-210, New York
  • [17] Liu, T., Ma, J., Zhu, H., and Li S.. 2006. Dependency parsing based on dynamiz local optimization. In Proceedings of CONLL-X, pages 211-215, New York.
  • [18] McDonald, R., Lerman, K., and Pereira, F.. 2006. Multilingual dependency analysis with a two-stage discriminative parser. In Proceedings of CONLL-X, pages 216-220, New York.
  • [19] Nivre, J., Hall, J.,Nilsson, J., Chanev, A., Eryiğit, G., Kübler, S., Marinov, S., and Marsi, Erwin.. 2007. MaltParser: A language-independent system for datadriven dependency parsing. Natural Language Engineering Journal, 13(1):1-41.
  • [20] Oflazer, K., Say, B., Hakkani-Tür D. Z., and Tür, G.. 2003. Building a Turkish treebank. In A. Abeillé, editor, Treebanks: Building and Using PArsed Corpora, pages 261-277. Kluwer, London.
  • [21] Oflazer, K., 1994. Two-level description of Turkish morphology. Literary and Linguistic Computing, 9(2):137-148.
  • [22] Riedel, S., Çakıcı, R., and Meza-Ru,z, I.. 2006. Multilingual dependency parsing with incremental integer linear programming. In Proceedings of CONLL-X, pages 226-230, New York.
  • [23] Say, B.. 2004. Metu-sabancı turkish treebank user guide.
  • [24] Schiehlen, M., and Spranger, K.. 2006. Language independent probabilistic context-Free parsing bolstered by machine learning. In Proceedings of CONLL-X, pages 231-235, New York.
  • [25] Shimizu, N.. 2006. Maximum spanning tree algorithm for non-projective labeled dependency parsing. In Proceedings of CONLL-X, pages 241-245, New York
  • [26] Wu, Y.C., Lee, Y.S., and Yang, J.C.. 2006. The exploriation of deterministic and efficient dependency parsing. In Proceedings of CONLL-X, pages 241-245, New York.
  • [27] Yüret, D.. 2006. Dependency parsing as a classification problem. In Proceedings of CONLL-X, pages 246-250, New York.
  • [28] Nivre, J., Hall, J., Kübler, S., McDonald, R., Nilsson, J., Riedel S., and Yüret, D. 2007. The CoNLL 2007 shared task on dependency parsing. In Proceedings of the CoNLL Shared Task Session of EMNLP-CoNLL, pages 915-932. Prague.
  • [29] Meral, H. M., Sankur, B., Özsoy, A. S., Güngör, T., and Sevinç, E. 2009. Natural language watermaking via morphosyntactic alterations. Retrieved from DOI: 10.1016/j.csl.2008.04.001
  • [30] Eryiğit, G., İlbay, T., and Can, O. A. 2011. Multiword expressions in statistical dependency parsing. In Proceedings of the Second Workshop on Statistical Parsing of Morphologically Rich Languages(SPMRL), pages 45-55. Dublin, Ireland.
  • [31] Eryiğit, G.. The impact of automatic morphological analysis & disambiguation on dependency parsing of Turkish. 2012.
  • [32] Çetinoğlu, Ö., and Kuhn, J. 2013. Towards joint morphological analysis and dependency parsing of Turkish. In Proceedings of the Second International Conference on Dependency Linguistics(DepLing), pages 23-32. Prague.
  • [33] Goenaga, I., Ezeiza, N., and Gojenola, K. 2013. Exploiting the Contribution of Morphological Information to Parsing: the BASQUE_TEAM system in the SPRML’2013 Shared Task.In Proceedings of the Fourth Workshop on Statistical Parsing of Morphologically Rich Languages, pages 71-77. Seattle, Washington, USA.
  • [34] Durgar El-Kahlout, İ., Akın, A.A., and Yılmaz, E. 2014. Initial explorations in two-phase Turkish dependency parsing by incorporating constituents. In First Joint Workshop on Statistical Parsing of Morphologically Rich Languages and Syntactic Analysis of Non-Canonical Languages, pages 82-89. Dublin, Ireland.
  • [35] Çetinoğlu, Ö. Turkish Treebank as a gold standard for morphological disambiguation and its influence on parsing. [36] Eryiğit, G. 2007. ITU Validation Set for Metu-Sabancı Turkish Treebank.
Toplam 34 adet kaynakça vardır.

Ayrıntılar

Diğer ID JA37ND58CK
Bölüm Makaleler(Araştırma)
Yazarlar

Gülşen Eryiğit Bu kişi benim

Tuğba Pamay Bu kişi benim

Yayımlanma Tarihi 2 Kasım 2014
Yayımlandığı Sayı Yıl 2014 Cilt: 7 Sayı: 1

Kaynak Göster

APA Eryiğit, G., & Pamay, T. (2014). ITU Validation Set for Metu-Sabancı Turkish Treebank. Türkiye Bilişim Vakfı Bilgisayar Bilimleri Ve Mühendisliği Dergisi, 7(1), 31-37.
AMA Eryiğit G, Pamay T. ITU Validation Set for Metu-Sabancı Turkish Treebank. TBV-BBMD. Kasım 2014;7(1):31-37.
Chicago Eryiğit, Gülşen, ve Tuğba Pamay. “ITU Validation Set for Metu-Sabancı Turkish Treebank”. Türkiye Bilişim Vakfı Bilgisayar Bilimleri Ve Mühendisliği Dergisi 7, sy. 1 (Kasım 2014): 31-37.
EndNote Eryiğit G, Pamay T (01 Kasım 2014) ITU Validation Set for Metu-Sabancı Turkish Treebank. Türkiye Bilişim Vakfı Bilgisayar Bilimleri ve Mühendisliği Dergisi 7 1 31–37.
IEEE G. Eryiğit ve T. Pamay, “ITU Validation Set for Metu-Sabancı Turkish Treebank”, TBV-BBMD, c. 7, sy. 1, ss. 31–37, 2014.
ISNAD Eryiğit, Gülşen - Pamay, Tuğba. “ITU Validation Set for Metu-Sabancı Turkish Treebank”. Türkiye Bilişim Vakfı Bilgisayar Bilimleri ve Mühendisliği Dergisi 7/1 (Kasım 2014), 31-37.
JAMA Eryiğit G, Pamay T. ITU Validation Set for Metu-Sabancı Turkish Treebank. TBV-BBMD. 2014;7:31–37.
MLA Eryiğit, Gülşen ve Tuğba Pamay. “ITU Validation Set for Metu-Sabancı Turkish Treebank”. Türkiye Bilişim Vakfı Bilgisayar Bilimleri Ve Mühendisliği Dergisi, c. 7, sy. 1, 2014, ss. 31-37.
Vancouver Eryiğit G, Pamay T. ITU Validation Set for Metu-Sabancı Turkish Treebank. TBV-BBMD. 2014;7(1):31-7.
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