American Patents: 214,559 Processes for extracting saccharine matter from vegetable substances

Extracting Aspects and Polarity from Patents

We describe an approach to terminology extraction from patent corpora that follows from a view of patents as “positive reviews” of inventions. As in aspect-based sentiment analysis, we focus on identifying not only the components of products but also the attributes and tasks which, in the case of patents, serve to justify an invention’s utility. These semantic roles (component, task, attribute)...

OCMiner for Patents. Extracting Chemical Information from Patent Texts

This paper describes OCMiner, a high-performance semantic text processing system for large document collections of scientific publications, and its performance regarding chemical named entity recognition in patent texts within the BioCreative V CHEMDNER-Patents challenge which was set up for this purpose. OCMiner permits adjusting the quality of annotation results by several linguistic options,...

Extracting Vegetable Information from Recipes to Facilitate Health-Aware Choices

In order to facilitate users of a recipe service to make health-aware meal choices, we focus on the automatic extraction of nutritional information from the text of a recipe. More specifically, the presence of sufficient vegetables in the main meal is addressed in this note. We present an algorithm to extract this information from the recipe texts and explore its use to persuade users to select...

Efficiently Extracting Randomness from Imperfect Stochastic Processes

We study the problem of extracting a prescribed number of random bits by reading the smallest possible number of symbols from non-ideal stochastic processes. The related interval algorithm proposed by Han and Hoshi has asymptotically optimal performance; however, it assumes that the distribution of the input stochastic process is known. The motivation for our work is the fact that, in practice,...

The Saccharine Disease - Contents