Can Cross-Domain Term Extraction Benefit from Cross-lingual Transfer?

Author:

Tran Hanh Thi HongORCID,Martinc MatejORCID,Doucet AntoineORCID,Pollak SenjaORCID

Publisher

Springer Nature Switzerland

Reference37 articles.

1. Akbik, A., Bergmann, T., Blythe, D., Rasul, K., Schweter, S., Vollgraf, R.: Flair: an easy-to-use framework for state-of-the-art NLP. In: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics (Demonstrations), pp. 54–59 (2019)

2. Amjadian, E., Inkpen, D., Paribakht, T., Faez, F.: Local-global vectors to improve unigram terminology extraction. In: Proceedings of the 5th International Workshop on Computational Terminology (Computerm2016), pp. 2–11 (2016)

3. Conneau, A., et al.: Unsupervised cross-lingual representation learning at scale. In: ACL (2020)

4. Daille, B., Gaussier, É., Langé, J.M.: Towards automatic extraction of monolingual and bilingual terminology. In: COLING 1994 Volume 1: The 15th International Conference on Computational Linguistics (1994)

5. Damerau, F.J.: Evaluating computer-generated domain-oriented vocabularies. Inf. Process. Manag. 26(6), 791–801 (1990)

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