Solving Verbal Comprehension Questions in IQ Test by Knowledge-Powered Word Embedding

Understand

Intelligence Quotient (IQ) Test is a set of standardized questions designed to evaluate human intelligence.

• Verbal comprehension questions appear very frequently in IQ tests, which measure human's verbal ability including the understanding of the words with multiple senses, the synonyms and antonyms, and the analogies among words.
• In this work, we explore whether such tests can be solved automatically by artificial intelligence technologies, especially the deep learning technologies that are recently developed and successfully applied in a number of fields.
• However, we found that the task was quite challenging, and simply applying existing technologies (e.g., word embedding) could not achieve a good performance, mainly due to the multiple senses of words and the complex relations among words.