Nschneid writeup of Cohen 2000 WHIRL
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Jump to navigationJump to searchThis is Nschneid's review of Cohen_2000_whirl_a_word_based_information_representation_language
- Is it fair to say that this is broadly similar to Markov Logic, only (a) specific to a representation in which documents consist of sets of short text segments and (b) using pairwise TFIDF similarities rather than a complex graphical model?
- Has this sort of formalism for entities been used with feature-based representations? i.e. documents and/or their segments are feature-valued rather than string-valued?
