Abstract: Computer-implemented techniques for enhanced tagging of natural language queries that are initially segmented and tagged by a named entity recognition system. By doing so, enhanced tagging of a natural language query that represents a deeper understanding of the query is provided. The enhanced tagging improves the operation of search engines that use the enhanced tags by enabling the search engine to identify and return more relevant search results in answers to natural language queries.

Abstract: Computer-implemented techniques for enhanced tagging of natural language queries that are initially segmented and tagged by a named entity recognition system. By doing so, enhanced tagging of a natural language query that represents a deeper understanding of the query is provided. The enhanced tagging improves the operation of search engines that use the enhanced tags by enabling the search engine to identify and return more relevant search results in answers to natural language queries.

Abstract: A crowdsource pipeline manager that is capable of using a crowdsource platform to automatically generate a large amount of high-quality training examples in a timely manner for training a machine learning model for a natural language processing task. Instead of merely creating a collection job with the crowdsource platform, the crowdsource pipeline manager creates a peer-reviewed collection job. The peer-reviewed collection job is created with the crowdsource platform such that execution of a corresponding judging job by the crowdsource platform is automatically triggered after the crowdsource platform executes the peer-reviewed collection job.