Predicting the Age of Scientific Papers

Author:

Savov Pavel,Jatowt Adam,Nielek Radoslaw

Publisher

Springer International Publishing

Reference24 articles.

1. Achakulvisut, T., Bhagavatula, C., Acuna, D., Kording, K.: Claim extraction in biomedical publications using deep discourse model and transfer learning. arXiv preprint arXiv:1907.00962 (2019)

2. Barrios, F., López, F., Argerich, L., Wachenchauzer, R.: Variations of the similarity function of textrank for automated summarization. arXiv preprint arXiv:1602.03606 (2016)

3. Beltagy, I., Lo, K., Cohan, A.: Scibert: pretrained language model for scientific text. In: EMNLP (2019)

4. Bird, S.: Nltk: the natural language toolkit. In: Proceedings of the COLING/ACL 2006 Interactive Presentation Sessions, pp. 69–72 (2006)

5. De Jong, F., Rode, H., Hiemstra, D.: Temporal language models for the disclosure of historical text. In: International Conference of the Association for History and Computing (AHC 2005), pp. 161–168. Koninklijke Nederlandse Academie van Wetenschappen, Amsterdam, the Netherlands (2005)

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1. Time Masking for Temporal Language Models;Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining;2022-02-11

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