It’s a miracle most enterprises manage to find anything in their labyrinthine storage setups. Companies increasingly tap a mix of public and private clouds that don’t always play nicely together, and the jargony nature of their employees’ search queries make them tougher to parse than, say, web searches.
Fortunately, IBM’s recent work in natural language processing promises to address those and other search challenges in the corporate domain. In scheduled to be presented at the Annual Meeting of the Association for Computational Linguistics 2019 conference in Florence, teams of researchers propose novel semantic parsing techniques and a method to integrate incomplete knowledge bases with corpora, in addition to a tool that recruits subject matter experts to fine-tune interpretable rules-based systems.
The first study investigated an