Sgopal1 writeup of WHIRL
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This is a review of the paper Cohen_2000_whirl_a_word_based_information_representation_language by user:sgopal1.
This paper proposes a an algorithm, syntax and structure for retrieving information from structured data. It looks extremely similar to prolog, but uses difference inference mechanisms to retrieve the r-best-lists ( r-materialization ).
Key points
- Supports conjunctive queries.
- Soft-matching between texts using TF-IDF or any other similarity metric.
- The database of facts along with scores, appropriately combines scores and presents it to the user
Applied WHIRL to three areas
- Ranking
- Classification
- Extraction from structured documents like HTML