Another baseline is developed with the output of MRW LP (LP-baseline) that contains labeled lists and mentions.
here we describe a pipelined system which (1) identifies lists of semantically-related items using lexico-syntactic patterns (2) uses distant supervision, in combination with a label-propagation method, to find entity mentions that can be confidently labeled and (3) from this data, uses ordinary classifier learners to classify entity mentions by their semantic type.