Progress
- implementing "summarising multiple notes simultaneously" feature
- users can now summarize multiple highlighted texts in notes
- understanding co-reference resolution:
- matching nouns to pronouns in next sentences
- more info: https://stanford.edu/~kartiks2/coref.pdf)
- understanding word2vec solution to create similarity matrix:
- semantic relationships between sentences
- discovered Javascript NLP library: Natural
- docs: Introduction | Natural
- useful for tokenizing text into sentences and has default PageRank algorithm (useful for custom implementation of TextRank)
Plans
- implementing "summarising notebooks" feature
- learn more about WASM
- making a table of all extractive summarisations and discover their strengths and weaknesses (still pending)
- if all the above are done: try to implement and test Hobb's Algorithm (non-ML co-reference resolution)
Problems
- I am still having issues with setting up Transformers.js in a plugin.