An improved automatic term recognition method for spanish

Alberto Barrón-Cedeño; Gerardo Sierra; Patrick Drouin; Sophia Ananiadou

doi:10.1007/978-3-642-00382-0_10

An improved automatic term recognition method for spanish

Alberto Barrón-Cedeño, Gerardo Sierra, Patrick Drouin, Sophia Ananiadou

Research output: Chapter in Book/Conference proceeding › Chapter

Abstract

The C-value/NC-value algorithm, a hybrid approach to automatic term recognition, has been originally developed to extract multiword term candidates from specialised documents written in English. Here, we present three main modifications to this algorithm that affect how the obtained output is refined. The first modification aims to maximise the number of real terms in the list of candidates with a new approach for the stop-list application process. The second modification adapts the C-value calculation formula in order to consider single word terms. The third modification changes how the term candidates are grouped, exploiting a lemmatised version of the input corpus. Additionally, size of candidate's context window is variable. We also show the necessary linguistic modifications to apply this algorithm to the recognition of term candidates in Spanish. © Springer-Verlag Berlin Heidelberg 2009.

Original language	English
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)\|Lect. Notes Comput. Sci.
Place of Publication	Proceedings of the 10th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing 2009)
Publisher	Springer Nature
Pages	125-136
Number of pages	11
Volume	5449
DOIs	https://doi.org/10.1007/978-3-642-00382-0_10
Publication status	Published - 2009
Event	10th International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2009 - Mexico City Duration: 1 Jul 2009 → …

Other

Other	10th International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2009
City	Mexico City
Period	1/07/09 → …

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10.1007/978-3-642-00382-0_10

Cite this

Barrón-Cedeño, A., Sierra, G., Drouin, P., & Ananiadou, S. (2009). An improved automatic term recognition method for spanish. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci. (Vol. 5449, pp. 125-136). Springer Nature. https://doi.org/10.1007/978-3-642-00382-0_10

Barrón-Cedeño, Alberto ; Sierra, Gerardo ; Drouin, Patrick et al. / An improved automatic term recognition method for spanish. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci.. Vol. 5449 Proceedings of the 10th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing 2009) : Springer Nature, 2009. pp. 125-136

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title = "An improved automatic term recognition method for spanish",

abstract = "The C-value/NC-value algorithm, a hybrid approach to automatic term recognition, has been originally developed to extract multiword term candidates from specialised documents written in English. Here, we present three main modifications to this algorithm that affect how the obtained output is refined. The first modification aims to maximise the number of real terms in the list of candidates with a new approach for the stop-list application process. The second modification adapts the C-value calculation formula in order to consider single word terms. The third modification changes how the term candidates are grouped, exploiting a lemmatised version of the input corpus. Additionally, size of candidate's context window is variable. We also show the necessary linguistic modifications to apply this algorithm to the recognition of term candidates in Spanish. {\textcopyright} Springer-Verlag Berlin Heidelberg 2009.",

author = "Alberto Barr{\'o}n-Cede{\~n}o and Gerardo Sierra and Patrick Drouin and Sophia Ananiadou",

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Barrón-Cedeño, A, Sierra, G, Drouin, P & Ananiadou, S 2009, An improved automatic term recognition method for spanish. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci.. vol. 5449, Springer Nature, Proceedings of the 10th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing 2009), pp. 125-136, 10th International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2009, Mexico City, 1/07/09. https://doi.org/10.1007/978-3-642-00382-0_10

An improved automatic term recognition method for spanish. / Barrón-Cedeño, Alberto; Sierra, Gerardo; Drouin, Patrick et al.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci.. Vol. 5449 Proceedings of the 10th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing 2009): Springer Nature, 2009. p. 125-136.

Research output: Chapter in Book/Conference proceeding › Chapter

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AB - The C-value/NC-value algorithm, a hybrid approach to automatic term recognition, has been originally developed to extract multiword term candidates from specialised documents written in English. Here, we present three main modifications to this algorithm that affect how the obtained output is refined. The first modification aims to maximise the number of real terms in the list of candidates with a new approach for the stop-list application process. The second modification adapts the C-value calculation formula in order to consider single word terms. The third modification changes how the term candidates are grouped, exploiting a lemmatised version of the input corpus. Additionally, size of candidate's context window is variable. We also show the necessary linguistic modifications to apply this algorithm to the recognition of term candidates in Spanish. © Springer-Verlag Berlin Heidelberg 2009.

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Barrón-Cedeño A, Sierra G, Drouin P, Ananiadou S. An improved automatic term recognition method for spanish. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci.. Vol. 5449. Proceedings of the 10th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing 2009): Springer Nature. 2009. p. 125-136 doi: 10.1007/978-3-642-00382-0_10

An improved automatic term recognition method for spanish

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