Natural language processing for deep document analysis

Project Member(s): Piccardi, M.

Funding or Partner Organisation: Rozetta Technology Pty Ltd
Rozetta Technology Pty Ltd

Start year: 2020

Summary: In this PhD project, we will develop natural language processing approaches based on deep and reinforcement learning for the automated analysis of public social media and corporate documents.

Publications:

Jauregi Unanue, I, Parnell, J & Piccardi, M 1970, 'BERTTune: Fine-Tuning Neural Machine Translation with BERTScore', Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), Association for Computational Linguistics, pp. 915-924.
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Parnell, J, Jauregi Unanue, I & Piccardi, M 1970, 'RewardsOfSum: Exploring Reinforcement Learning Rewards for Summarisation', Proceedings of the 5th Workshop on Structured Prediction for NLP (SPNLP 2021), Proceedings of the 5th Workshop on Structured Prediction for NLP (SPNLP 2021), Association for Computational Linguistics, Online, pp. 1-11.
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FOR Codes: Natural Language Processing, Computer Software and Services not elsewhere classified, Information systems, technologies and services

Acknowledgement of Country

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.