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: ['The Hartford Whalers NHL team drafted a winger.', 'Bibimbap House, located near Clare Hall in the city center has a low food price less than £20.']

SOLUTION: DISSIMILAR

PROBLEM: ['United States national Elliot See was born in Dallas. He graduated from the University of Texas at Austin, an affiliation of the university of Texas system, and later served as a test pilot. He passed away in St. Louis.', 'Elliot See has died in St Louis. Born in Dallas he was a US national and attended the University of Texas at Austin which is affiliated the the University of Texas system. He then became a test pilot,.']

SOLUTION: SIMILAR

PROBLEM: ["Three hundred and fifty people work at the city's 3rd largest employer.", 'The Golden Palace is a moderately priced coffee shop with high customer ratings. It is family friendly and located in the city centre.']

SOLUTION:
DISSIMILAR