The current state of summarization

Author:

Retkowski Fabian

Publisher

transcript Verlag

Reference87 articles.

1. Beltagy, Iz/Peters, Matthew E./Cohan, Arman (2020): Longformer:The Long‐Document Transformer, arXiv Preprint (http://arxiv.org/abs/2004.05150).

2. Bhaskar, Adithya/Fabbri, Alex/Durrett, Greg (2023): “Prompted Opinion Summarization with GPT3.5.” In: Findings of the Association for Computational Linguistics (ACL 2023), Toronto, Canada, pp. 9282–9300.

3. BigScience Workshop (2022): BLOOM: A 176B‐Parameter Open‐Access Multilingual Language Model, arXiv Preprint (http://arxiv.org/abs/2211.05100).

4. Brown, Tom/Mann, Benjamin/Ryder, Nick/Subbiah, Melanie/Kaplan, Jared D./Dhariwal, Prafulla/Neelakantan, Arvind/et al. (2020): “Language Models are Few‐Shot Learners.” In: Advances in Neural Information Processing Systems 33 (NeurIPS 2020), Vancouver, Canada (https://proceedings.neurips.cc/paper_files/paper/2020/hash/1457c0d6bfcb4967418bfb8ac142f64a-Abstract.html).

5. Butcher, Mike (2022): “Here’s why a gold rush of NLP startups is about to arrive.”, July 28, 2022 (https://techcrunch.com/2022/07/28/a-gold-rush-of-nlp-startups-is-about-to-arrive-heres-why/).

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