A Review of Winograd Schema Challenge Datasets and Approaches
It provides a comprehensive overview for researchers in natural language understanding, but it is incremental as it is a review paper.
This paper reviews existing datasets and approaches for the Winograd Schema Challenge, a commonsense reasoning task designed to be easy for humans but difficult for machines, without presenting new results or numbers.
The Winograd Schema Challenge is both a commonsense reasoning and natural language understanding challenge, introduced as an alternative to the Turing test. A Winograd schema is a pair of sentences differing in one or two words with a highly ambiguous pronoun, resolved differently in the two sentences, that appears to require commonsense knowledge to be resolved correctly. The examples were designed to be easily solvable by humans but difficult for machines, in principle requiring a deep understanding of the content of the text and the situation it describes. This paper reviews existing Winograd Schema Challenge benchmark datasets and approaches that have been published since its introduction.