Bleeding Edge Series: Multi-Doc Summarization
In our new series, Bleeding Edge, we look at break through technologies within Text Analytics, Machine Learning and Natural Language Processing that are making the transition from academic lab rat to corporate cash cow. We’ll take a deep dive into the different technical approaches, and review some of the commercial applications, and the companies starting…
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Extracting Media from HTML
Over the last decade, there has been a rapid development from static webpages with little interactive content to media-rich and dynamic web pages. This can be attributed to new web technologies that make embedding of multimedia content incredibly simple. For example, adding a video in HTML5 is as easy as wrapping it in <video> tags.…
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A Benchmark Comparison Of Content Extraction From HTML Pages
Introduction Content extraction is the task of separating boilerplate such as comments, navigation bars, social media links, ads, etc, from the main body of text of an article formatted as HTML. The main content typically accounts for only a small portion of a page’s source code (highlighted in red in the image below). Extraction is…
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Summarising lists, a popular web content type.
One of the biggest challenges we’re trying to tackle at Skim Technologies is how to extract the most important information from a web page, in order to vastly improve the way people consume information in a mobile first world… This post details some of the work we’ve been doing to automatically summarise lists. We…
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A benchmark comparison of extractive summarisation systems
In this post, we report the results of the comparative evaluation of our Skim API against similar commercial and open-source extractive summarisation systems. Results indicate that our summarisation system consistently outperforms the analysed benchmarks, in terms of ROUGE-N. The Information Age we are living in, fuelled by the advent of the World Wide Web…
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Why we’ve changed from Scrum to Kanban…
In the two short years we’ve been developing software at Skim.it, we’ve always taken an agile approach to our work. It’s not always been easy, and now more so than ever – like true Agile ninja’s – we’re questioning, testing and improving our processes. There’s a misguided belief among tech startups that the only way…
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A brief introduction to summarisation
Our chief data scientist shares her thoughts on summarisation, by answering some of the most burning questions on this exciting discipline of information management.
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Why you should stop running your own node server
In this post, Florian – our Fullstack developer – reveals why he thinks the future is serverless…
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