Subject
3 entries
Summarization
Bookmarks
Optimal Chunk Size for Large Document Summarization
Vectify AI introduces a method to automatically determine the optimal chunk size for large document summarization with LLMs — rather than fixed-size chunking, the approach finds the chunk granularity that maximizes summary quality for a given document type.
Financial Text Summarization with Hugging Face and Keras
A tutorial on fine-tuning distilled BART for financial news summarization using Hugging Face Transformers with Keras and Amazon SageMaker — generating headline-length summaries from longer articles. A practical demonstration of seq2seq fine-tuning on domain-specific data.
Berkeley Document Summarizer
The Berkeley Document Summarizer is a learning-based extractive summarization system that uses syntactic compression and coreference constraints. Academic research code from Greg Durrett, representing the pre-neural era of NLP summarization work.