Article published in:
Terminology across Languages and Domains
Edited by Patrick Drouin, Natalia Grabar, Thierry Hamon and Kyo Kageura
[Terminology 21:2] 2015
► pp. 180204
Cited by

Cited by 1 other publications

Du, Jiali, Christina Alexantris & Pingfang Yu
2020.  In Human Interaction, Emerging Technologies and Future Applications II [Advances in Intelligent Systems and Computing, 1152],  pp. 252 ff. Crossref logo

This list is based on CrossRef data as of 24 april 2021. Please note that it may not be complete. Sources presented here have been supplied by the respective publishers. Any errors therein should be reported to them.

References
Acedański, Szymon
2010 “A Morphosyntactic Brill Tagger for Inflectional Languages.” In Advances in Natural Language Processing, ed. by Hrafn Loftsson, Eirikur Rognvaldsson, and Sigrun Helgadottir, 3–14. Berlin Heidelberg: Springer. CrossrefGoogle Scholar
Barrón-Cedeno, Alberto, Gerardo Sierra, Patrick Drouin, and Sophia Ananiadou
2009 “An Improved Automatic Term Recognition Method for Spanish.” In Computational Linguistics and Intelligent Text Processing, ed. by Alexander Gelbukh, 125–136. Berlin Heidelberg: Springer. CrossrefGoogle Scholar
Bouma, Gerlof
2009 “Normalized (Pointwise) Mutual Information in Collocation.” In From Form to Meaning: Processing Texts Automatically, Proceedings of the Biennial GSCL Conference 2009 , ed. by Christian Chiarcos, Richard Eckart de Castilho and Manfred Stede, 31–40. Tubingen: Gunter Narr Verlag.
Cetnarowska, Bożena
2013 “The Representational Approach to Adjective Placement in Polish.” Linguistica Silesiana 34: 7–22.Google Scholar
Frantzi, Katerina, Sophia Ananiadou, and Hideki Mima
2000 “Automatic Recognition of Multi-word Terms: The C-value/NC-value Method.” Journal on Digital Libraries 3 (2): 115–130. CrossrefGoogle Scholar
Genia Corpus
Kageura, Kyo, and Bin Umino
1996Method for Automatic Term Recognition. A Review.” Terminology 3 (2): 259–289. CrossrefGoogle Scholar
Kim, Jin-Dong, Tomoko Otha, Yuka Tateisi, and Jun’ichi Tsujii
2003 “GENIA Corpus – a Semantically Annotated Corpus of Bio-Textmining.” Bioinformatics 19 (suppl. 1): 180–182. CrossrefGoogle Scholar
Kobyliński, Łukasz
2012 “Mining Class Association Rule for Word Sense Disambigiation.” In Security and Intelligent Information Systems. Lecture Notes in Computer Science Volume 7053, ed. by Pascal Bouvry, Mieczysław A. Kłopotek, Franck Leprévost, Małgorzata Marciniak, Agnieszka Mykowiecka, and Henryk Rybiński, 307–317. Berlin Heidelberg: Springer.Google Scholar
Korkontzelos, Ioannis, Ioannis P. Klapaftis, and Suresh Manandhar
2008 “Reviewing and Evaluating Automatic Term Recognition Techniques.” In Advances in Natural Language Processing. Lecture Notes in Computer Science Volume 5221, ed. by Bengt Nordström and Aarne Ranta, 248–259. Berlin Heidelberg: Springer. CrossrefGoogle Scholar
Lossio-Ventura, Juan Antonio, Clement Jonquet, Mathieu Roche, and Maguelonne Teisseire
2014 “Yet Another Ranking Function for Automatic Multiword Term Extraction.” In Advances in Natural Language Processing Lecture Notes in Computer Science Volume 8686, 52–64. Berlin Heidelberg: Springer.Google Scholar
Manning, Christopher D., and Hinrich Schutze
1999 Foundations of Statistical Natural Language Processing. Cambridge, MA, USA: MIT Press.Google Scholar
Marciniak, Małgorzata, and Agnieszka Mykowiecka
2011 “Towards Morphologically Annotated Corpus of Hospital Discharge Reports in Polish.” In Proceedings of BioNLP 2011, ed. by Kevin Bretonnel Cohen, Dina Demner-Fushman, Sophia Ananiadou, John Pestian, Jun’ichi Tsujii, and Bonnie Webber, 92–100. Portland, Oregon, USA: ACL.Google Scholar
2013 “Terminology Extraction from Domain Texts in Polish.” In Intelligent Tools for Building a Scientific Information Platform. Advanced Architectures and Solutions. volume 467 of Studies in Computational Intelligence, ed. by Robert Bembenik, Łukasz Skonieczny, Henryk Rybiński, Marzena Kryszkiewicz, and Marek Niezgódka, 171–185. Berlin Heidelberg: Springer.Google Scholar
2014 “Terminology Extraction From Medical Texts in Polish.” Journal of Biomedical Semantics 5: 24. CrossrefGoogle Scholar
Nenadic, Goran, Irena Spasic, and Sophia Ananiadou
2005Mining Biomedical Abstracts: What’s in a Term? Lecture Notes in Artificial Intelligence, Volume 3248, ed. by Keh-Yih Su, Jun’ichi Tsujii, Jong-Hyeok Lee, and Oi Yee Kwong, 797–806. Berlin Heidelberg: Springer.Google Scholar
Pantel, Patrick, and Dekang Lin
2001 “A Statistical Corpus-Based Term Extractor.” In Advances in Artificial Intelligence. Lecture Notes in Computer Science Volume 2056, ed. by Eleni Stroulia and Stan Matwin, 36–46. Berlin Heidelberg: Springer.Google Scholar
Pazienza, Maria T., Marco Pennacchiotti, and Fabio M. Zanzotto
2005 “Terminology Extraction: An Analysis of Linguistic and Statistical Approaches.” In Knowledge Mining Series: Studies in Fuzziness and Soft Computing, ed. by Spiros Sirmakessis, 255–280. Berlin Heidelberg: Springer. CrossrefGoogle Scholar
plWikiEcono
Przepiórkowski, Adam
2008Powierzchniowe przetwarzanie języka polskiego [Eng. Shallow Parsing of Polish]. Warszawa: Akademicka Oficyna Wydawnicza EXIT.Google Scholar
Sclano, Francesco, and Paola Velardi
2007 “Termextractor: a Web Application to Learn the Shared Terminology of Emergent Web Communities.” In Enterprise Interoperability II, ed. by Ricardo Jardim-Gonçalves, Jörg P. Müller, Kai Mertins, and Martin Zelm, 287–290. Berlin Heidelberg: Springer. CrossrefGoogle Scholar
Tateisi, Yuka, and Jun’ichi Tsujii
2004 “Part-of-speech Annotation of Biology Research Abstracts.” In Proceedings of 4th International Conference on Language Resources and Evaluation, ed. by Maria Teresa Lino, Maria Francisca Xavier, Fátima Ferreira, Rute Costa, and Raquel Silva, 1267–1270. Lisbon, Portugal: ELRA.Google Scholar
Toutanova, Kristina, Dan Klein, Christopher D. Manning, and Yoram Singer
2003 “Feature-rich Part-of-speech Tagging with a Cyclic Dependency Network.” In Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1, ed. by Marti Hearstand and Mari Ostendorf, 173–180. Edmonton, Canada: ACL.Google Scholar
Ventura, Juan A. Lossio, Clement Jonquet, Mathieu Roche, and Maguelonne Teisseire
2014 “Towards a Mixed Approach to Extract Biomedical Terms from Documents.” In International Journal of Knowledge Discovery in Bioinformatics 4 (1):1–5. CrossrefGoogle Scholar
Vu, Thuy, Ai Ti Aw, and Min Zhang
2008 “Term Extraction through Unithood and Termhood Unification.” In Proceedings of International Joint Conference on Natural Language Processing, ed. by Jong-Hyeok Lee, Ann Copestake, and Yuji Matsumoto, 631–636. Hyderabad, India: ACL.Google Scholar
Wermter, Joachim, and Udo Hahn
2005 “Massive Biomedical Term Discovery.” In Discovery Science Lecture Notes in Computer Science Volume 3735, ed. by Achim Hoffmann, Hiroshi Motoda, and Tobias Scheffer, 281–293. Berlin Heidelberg: Springer.Google Scholar
Woliński, Marcin
2006Morfeusz - a Practical Solution for the Morphological Analysis of Polish.” In Intelligent Information Processing and Web Mining. Advances in Soft Computing Volume 35, ed. by Mieczysław A. Kłopotek, Sławomir T. Wierzchoń, and Krzysztof Trojanowski, 511–520. Berlin Heidelberg: Springer. CrossrefGoogle Scholar