TASK DEFINITION: This task is about classifying the similarity of two sentences. The sentences can be classified as (a) SIMILAR - similar to each other, and (b) DISSIMILAR - not similar to each other. Sentences that have the same RDF relationship in terms of [subject, predicate, object] are similar to each other. The input is a list of two sentences and the output is either SIMILAR or DISSIMILAR.
PROBLEM: ['Abhandlungen aus dem Mathematischen Seminar der Universität Hamburg can be located by the ISSN number "0025-5858" and has the abbreviation Abh. Math. Semin. Univ. Hambg.', 'The ISSN number for Abhandlungen aus dem Mathematischen Seminar der Universitat Hamburg (abbreviating to Abh. Math. Semin. Univ. Hambg.) is 0025-5858.']

SOLUTION: SIMILAR

PROBLEM: ['With a customer rating of 5 out of 5, Midsummer House near All Bar One has great French food for a bit more than  £30.', 'Blue Spice is a family friendly restaurant located in the Riverside area with a good customer rating . And yes it provides meals at a price range of less than £20.']

SOLUTION: DISSIMILAR

PROBLEM: ['Alex Shelley got 3rd place eliminated by Young with time 06:47', 'Miguel Ángel Jiménez won the bmw asian open 1 with a margin of victory of 2 strokes and a winning score of 274.']

SOLUTION:
DISSIMILAR