Category: text analytics

Are abstracts better than full text?

 One of the most famous articles published this century, the announcement of the human genome sequence (2001). The abstract is 399 words, which means the article would almost certainly not be accepted for publication today.

Aaron Tay (together with Bianca Kramer and Ludo Witman) has …

The Great Schism: Strong v Narrow AI

The perfect robot?

One way to explain the current state of AI is to see it as two (or more) opposing views of the world. Strong AI is the goal of creating consciousness in a machine, as measured in the Turing Test: if you can’t …

What semantic enrichment means for academic publishing

Anyone reading the latest issue of the invaluable Research Information (The Meaning of Semantics, Four industry figures discuss the latest developments around semantic enrichment with Tim Gillett) would be left little the wiser about semantic enrichment after reading it. Although the line-up of people interviewed

In praise of rule-based systems

The London Text Analytics Meetup never fails to provide stimulating talks. Even if you disagree with some of the ideas, or even most of the ideas, you engage with the talk and with the speaker. Tonight’s talk (March 6, 2018) was no exception, Michael Barclay …

Algorithms to live by: How they have already changed your life

Tutorials about machine learning are, it seems two a penny. However, guides to machine learning by machine learning experts, however solid they may be as textbooks, frequently seem to lack ways in which the tools can be applied to a particular domain – in my …

Review of Tom Reamy, Deep Text

Deep Text cover

I don’t think the title  “Deep Text” does this book any favours – a more accurate description might be “Text Analytics within the Enterprise” – less catchy, but certainly more intelligible, and more indicative of what this book covers. From the title, you might think …

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