CoastTerm: A Corpus for Multidisciplinary Term Extraction in Coastal Scientific Literature

Author:

Delaunay JulienORCID,Tran Hanh Thi HongORCID,González-Gallardo Carlos-EmilianoORCID,Bordea GeorgetaORCID,Ducos MathildeORCID,Sidere NicolasORCID,Doucet AntoineORCID,Pollak SenjaORCID,De Viron OlivierORCID

Publisher

Springer Nature Switzerland

Reference42 articles.

1. Abdelmageed, N., et al.: BiodivNERE: gold standard corpora for named entity recognition and relation extraction in the biodiversity domain. Biodiversity Data J. 10 (2022)

2. Amjadian, E., Inkpen, D., Paribakht, T.S., Faez, F.: Local-global vectors to improve unigram terminology extraction. Computerm 2016, 2 (2016)

3. Amjadian, E., Inkpen, D., Paribakht, T.S., Faez, F.: Distributed specificity for automatic terminology extraction. Terminology. Int. J. Theoret. Appl. Issues Special. Commun. 24(1), 23–40 (2018)

4. Andersen, G.: Utilising heterogeneous language resources for term extraction in maritime domains. Terminology 28(1), 1–36 (2022)

5. Andrius, U.: Automatic extraction of lithuanian cybersecurity terms using deep learning approaches. In: Human Language Technologies–The Baltic Perspective: Proceedings of the Ninth International Conference Baltic HLT 2020. vol. 328, p. 39. IOS Press (2020)

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