Improvement in Google’s Natural Language Search

Google announced that their search engine has improved in understanding our natural language searches through queries that include superlatives, times, and more difficult questions.  Through these three ways, Google is now better at understanding user’s queries.

Superlatives- Google knows more about ordered items and how to understand superlatives like “largest” and “tallest” and so on. Some example questions that Google can identify better through superlatives are “Who are the tallest Patriots players?” or “What are the largest cities in Massachusetts?” and even “What is the longest river in the world?”

Time-Based Queries- Now Google has more knowledge on the times mentioned in user’s queries. Users can ask “What was the population of Boston in 1989?” or even questions like “How many songs did Drake record in 2014?” Another example question that Google can now understand through time-based queries is “What was the Celtic’s roster in 2012?”

Complicated Queries- Complicated queries that Google can comprehend are complex combinations. For instance, users can now ask Google questions that have unique combinations to the queries, like “What was the US population when Bernie Sanders was born?” or “Who was the president when the Angels won the World Series?” or “What television shows have Julia Robert’s niece starred in?” Below is an image to show the progression Google uses for these queries.

Google natural language search improves with superlative queries, time based queires, and complicated queries

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