Post
703
📢 Have you ever been wondered how specifically Transformers were capable for handling long input contexts?
I got a chance to tackle this through long document texts summarization problem, and delighted to share the related survey and diagram for a quick skimming below:
Preprint 📝 https://nicolay-r.github.io/website/data/preprint-AINL_2023_longt5_summarization.pdf
Springer 📝 https://link.springer.com/article/10.1007/s10958-024-07435-z
🎯 The aim of the survey was the development of the long-document summarizer for mass-media news in Vietnamese language. 🇻🇳
Sharing for a quick skimming of the methods performance overview of various LM-based solution across several datasets, covering domain-oriented advances in Vietnamese language (see attached screenshots)
As for solution we consider:
☑️ 1. Adapt existed google/pegasus-cnn_dailymail for summarizing large dataset for arranging training
☑️ 2. Tuning google/long-t5-tglobal-large suitable for performing generative summarization.
Implementation details:
🌟 https://github.com/nicolay-r/ViLongT5
(Simplier to go with huggingface rather flaxformer that so far become a legacy engine)
I got a chance to tackle this through long document texts summarization problem, and delighted to share the related survey and diagram for a quick skimming below:
Preprint 📝 https://nicolay-r.github.io/website/data/preprint-AINL_2023_longt5_summarization.pdf
Springer 📝 https://link.springer.com/article/10.1007/s10958-024-07435-z
🎯 The aim of the survey was the development of the long-document summarizer for mass-media news in Vietnamese language. 🇻🇳
Sharing for a quick skimming of the methods performance overview of various LM-based solution across several datasets, covering domain-oriented advances in Vietnamese language (see attached screenshots)
As for solution we consider:
☑️ 1. Adapt existed google/pegasus-cnn_dailymail for summarizing large dataset for arranging training
☑️ 2. Tuning google/long-t5-tglobal-large suitable for performing generative summarization.
Implementation details:
🌟 https://github.com/nicolay-r/ViLongT5
(Simplier to go with huggingface rather flaxformer that so far become a legacy engine)