VADIS – A Variable Detection, Interlinking and Summarization System-Reference-Cited by-同舟云学术

VADIS – A Variable Detection, Interlinking and Summarization System

Published:2024 Issue: Volume: Page:223-228
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:en
Short-container-title:

Author:

Kartal Yavuz Selim^ORCID,Shahid Muhammad Ahsan^ORCID,Takeshita Sotaro^ORCID,Tsereteli Tornike^ORCID,Zielinski Andrea^ORCID,Zapilko Benjamin^ORCID,Mayr Philipp^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-56069-9_22

Reference12 articles.

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3. Cachola, I., Lo, K., Cohan, A., Weld, D.S.: Tldr: Extreme summarization of scientific documents (2020). https://api.semanticscholar.org/CorpusID:216867622, ArXiv abs/ arXiv: 2004.15011

4. Cohan, A., et al.: A discourse-aware attention model for abstractive summarization of long documents. In: Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers). pp. 615–621. Association for Computational Linguistics, New Orleans, Louisiana (Jun 2018). https://doi.org/10.18653/v1/N18-2097, https://aclanthology.org/N18-2097

5. Cohan, A., Goharian, N.: Scientific document summarization via citation contextualization and scientific discourse. Int. J. Digit. Libr. 19(2–3), 287–303 (2018). https://doi.org/10.1007/s00799-017-0216-8,http://link.springer.com/10.1007/s00799-017-0216-8