Semantic SentenceRank to Facilitate Reading....
summary
A tool ranks sentences into hierarchical reading layers for faster comprehension, handling English and Chinese and turning a 14‑page HBS case into a 10% summary that exposes the core claims. The semantic sentence ranking algorithm outperforms individual human judges and reaches about 81 vs 82 against combined human rankings. A separate matter sequence learning module generates QA pairs by matching syntactic/semantic tuples, produces over 400+ generated questions for that case, and creates distractors via embeddings, WordNet and edit‑distance; results are precomputed and interactive learning fills gaps.
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chapters (4)
- 0:00Intro
- 0:46Reading is a Basic Skill
- 10:26ASSESSING READING COMPREHENSION
- 18:25META SEQUENCE LEARNING ARCHITECTURE
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