UNSILO in the press
April 7, 2020
Manuscript Manager integrates UNSILO AI tools to reduce manuscript submission delays
March 4, 2020
January 28, 2020
UNSILO joins the CACTUS family!
December 4, 2019
PeerJ integrates the UNSILO Reviewer Finder API to optimise peer review workflows
November 29, 2019
Kyorinsha partners with UNSILO to deliver submission tools in Japan
November 7, 2019
OECD uses AI-based UNSILO Classify for Sustainable Development Goals (SDGs) collections
November 1, 2019
October 8, 2019
UNSILO to host panel event on AI in academic publishing at Frankfurt Book Fair
AI in publishing event – Frankfurt 2019
September 16, 2019
Cambridge University Press and UNSILO partner to deliver AI-based related links
May 23, 2019
Wiley and UNSILO will pilot AI to transform how manuscripts are submitted and screened
January 4, 2019
BMJ and UNSILO partner to create AI-based subject collections
October 3, 2018
Clarivate Analytics and UNSILO partner to power ScholarOne with AI
April 16, 2018
Taylor & Francis Group partners with UNSILO
January 25, 2018
OECD trials with UNSILO a new way to build subject collections
October 10, 2017
UNSILO Text Intelligence harnessed to expand Springer Nature’s article metadata
March 24, 2017
Karger partners with UNSILO for content enrichment
March 9, 2017
Springer Nature SciGraph: Supporting open science and the wider understanding of research
March 7, 2017
Artificial intelligence powers major content expansion of Nature Research’s Nano
March 7, 2017
Springer Nature’s Nano Receives Major Content Expansion, Powered by UNSILO Text Intelligence
Nov 18, 2016
Oct 26, 2015
Sep 27, 2013
Scale Capital Funds Unsilo, Democratizing Access to Scientific Research
September 16, 2019
Cambridge University Press and UNSILO partner to deliver AI-based related links
May 23, 2019
Wiley and UNSILO will pilot AI to transform how manuscripts are submitted and screened
January 4, 2019
BMJ and UNSILO partner to create AI-based subject collections
October 3, 2018
Clarivate Analytics and UNSILO partner to power ScholarOne with AI
April 16, 2018
Taylor & Francis Group partners with UNSILO
January 25, 2018
OECD trials with UNSILO a new way to build subject collections
October 10, 2017
UNSILO Text Intelligence harnessed to expand Springer Nature’s article metadata
March 24, 2017
Karger partners with UNSILO for content enrichment
March 9, 2017
Springer Nature SciGraph: Supporting open science and the wider understanding of research
March 7, 2017
Artificial intelligence powers major content expansion of Nature Research’s Nano
March 7, 2017
Springer Nature’s Nano Receives Major Content Expansion, Powered by UNSILO Text Intelligence
Nov 18, 2016
Oct 26, 2015
Sep 27, 2013
Scale Capital Funds Unsilo, Democratizing Access to Scientific Research
White papers
Read our whitepapers to gain a better understand of UNSILO’s technology.
UNSILO Outperforms Google
In comparison to similar technologies from Google, IBM and Microsoft, UNSILO outperforms those in terms of returning more precise concepts and much less noise. More information can be found in our white paper “Comparing UNSILO concept extraction to leading NLP cloud solutions”
Evaluating Concept Extraction
One of the first questions we are asked by new clients is how to evaluate the services provided by UNSILO. This is a sensible question, since there is little reliable guidance available on the Web on how to evaluate text analytics. This paper lists some possible approaches and their strengths and weaknesses.
Latest tweets
You don't need to be a taxonomist to create taxonomies. @michael_upshall of @unsiloproduct walks us through building 'see more like this' user solutions at virtual Bite-sized Boot Camp on 9 June. Earlybird discount expires next week. Programme & tickets at http://www.taxonomybootcamp.com/London/2021/Programme.aspx
How effective are machine checks for manuscript submissions? https://unsilo.ai/2021/04/16/how-effective-are-machine-checks-for-manuscript-submissions/ UNSILO tests on 100 manuscripts. Humans are bad at "Checking tables are cited in the correct order in the manuscript", compared to machine , Precision of 0.15 vs 0.63, recall of 0.57 vs 0.71 (1/
