Transformer-Based Models for the Automatic Indexing of Scientific Documents in French

Author:

González José ÁngelORCID,Buscaldi DavideORCID,Sanchis EmilioORCID,Hurtado Lluís-F.ORCID

Publisher

Springer International Publishing

Reference25 articles.

1. Ammar, W., Peters, M., Bhagavatula, C., Power, R.: The AI2 system at SemEval-2017 Task 10 (ScienceIE): semi-supervised end-to-end entity and relation extraction. In: Proceedings of the 11th International Workshop on Semantic Evaluation, SemEval-2017, pp. 592–596 (2017)

2. Augenstein, I., Das, M., Riedel, S., Vikraman, L., McCallum, A.: SemEval 2017 Task 10: ScienceIE - extracting keyphrases and relations from scientific publications. In: Proceedings of the 11th International Workshop on Semantic Evaluation, SemEval-2017, pp. 546–555 (2017)

3. Bahdanau, D., Cho, K., Bengio, Y.: Neural machine translation by jointly learning to align and translate. In: 3rd International Conference on Learning Representations, ICLR 2015 (January 2015)

4. Boudin, F., Daille, B., Jacquey, É., Nie, J.: The DELICES project: indexing scientific literature through semantic expansion. arXiv arXiv:abs/2106.14731 (2020)

5. Bougouin, A., Boudin, F., Daille, B.: TopicRank: graph-based topic ranking for keyphrase extraction. In: International Joint Conference on Natural Language Processing (IJCNLP), pp. 543–551 (2013)

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