IndicBART Alongside Visual Element: Multimodal Summarization in Diverse Indian Languages
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-70552-6_16
Reference36 articles.
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3. Brown, T., et al.: Language models are few-shot learners. Adv. Neural. Inf. Process. Syst. 33, 1877–1901 (2020)
4. Chen, J., Zhuge, H.: Extractive text-image summarization using multi-modal RNN. In: 2018 14th International Conference on Semantics, Knowledge and Grids (SKG), pp. 245–248 (2018). https://doi.org/10.1109/SKG.2018.00033
5. Dabre, R., Shrotriya, H., Kunchukuttan, A., Puduppully, R., Khapra, M.M., Kumar, P.: Indicbart: a pre-trained model for indic natural language generation. arXiv preprint arXiv:2109.02903 (2021)
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