The latest news from UNSILO

February 26, 2018

Once Again, UNSILO Outperforms Google, Microsoft, IBM Watson, and Amazon Comprehend

Table 1: Concept Quality Across Academic Domains Artificial Intelligence is promoted as the solution to some of humanity’s hardest challenges. But AI and Machine Learning can be applied to the […]
January 29, 2018

OECD trials with UNSILO a new way to build subject collections

UNSILO and the Organisation for Economic Co-operation and Development (OECD) have worked together on a proof of concept designed to improve content discovery and collection-building from the hundreds of thousands […]
October 10, 2017

UNSILO Text Intelligence harnessed to expand Springer Nature’s article metadata

Springer Nature and UNSILO have released a new comprehensive set of article metadata. The new metadata includes keywords for every article, and for articles where no editorial keywords exist, the […]
October 6, 2017

UNSILO partners with SilverChair to provide services for the Silverchair Universe

Silverchair Information Systems announced today the launch of the Silverchair Universe, a new framework for rapidly integrating complementary products and services with the Silverchair Platform. “There are an exploding number […]
March 10, 2017

UNSILO outperforms Google, Microsoft, and IBM Watson

Artificial Intelligence is promoted as the solution to some of humanity’s hardest challenges. But AI and Machine Learning can be applied to the same problem in many ways, and different […]
October 13, 2016

What is Deep Learning?

What is deep learning? Is it a magic process that does what the brain does? Like any term that becomes a buzzword, “deep learning” has been defined many times by […]
October 4, 2016

UNSILO and Triple Stores

  In this post Mario Juric, UNSILO’s head of research, responds to a question that several of our clients have asked: does UNSILO use triple stores for its concept extraction? […]
September 30, 2016

Is the UNSILO engine a black box?

A common complaint about machine-learning tools is that they are black boxes, operating in ways that cannot be explained (see, for example, this recent post). We make no claims for […]
June 8, 2016

Who is using text mining? New survey reports

The Publishing Research Consortium (PRC) have published a report on “Text Mining of Journal Literature”. This is a major survey, with over 500 responses, and so the results were eagerly […]
May 26, 2016

Google adds Smart Reply to email

Google researchers announced the launch of Smart Reply in November 2015. Smart Reply is a new feature for Gmail that suggests three responses based on emails you get. What’s the […]
May 6, 2016

Measuring the accuracy of text analytics

How should a publisher, or researcher, measure the quality of text analytics? If an automatic tool extracts hundreds of concepts from your content, how do you know if they really […]