Abstract: Examples are disclosed that relate to using natural language processing (NLP) to determine a recipe for a chemical synthesis described in a text to create a life cycle inventory (LCI). One example provides a method comprising receiving an input of a text from a publication comprising a description of a chemical product, and analyzing the text using NLP to determine a recipe for the chemical synthesis, the recipe comprising and action and action metadata, the action metadata comprising a reactant. The method further discloses obtaining LCI information for the reactant, determining an energy utilized for the action, and creating an estimate of an environmental impact for the product.

Abstract: Techniques of selective surfacing email messages in computing systems are disclosed herein. In one embodiment, a method includes calculating an importance value corresponding to an incoming email based on one or more values of attributes of the incoming email and corresponding contribution values of the features toward the importance value. The method can then include performing a comparison between the calculated importance value of the incoming email and a preset importance threshold and, based on the performed comparison, selectively surfacing the incoming email to the user in a first section of an email inbox irrespective of a date/time of reception of the incoming email relative to other emails in the inbox.