text mining

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Might of the word embeddings

Three most important lessons about neural networks and word embeddings: 1. No free lunch, 2. Size matters, 3. Engineering matters

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[New Paper] Information extraction from tables in literature

About two months ago, a paper that resulted from my Ph.D. work has been published in the International Journal of Document Analysis and Recognition. The paper is titled “A framework for information extraction from tables in biomedical literature”.

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Awarded best paper award on NLDB 2018 conference

A paper called “Classification of Intangible Social Innovation Concepts” that was submitted and accepted for presentation at 23rd International Conference on Natural Language & Information Systems (NLDB2018) and was held in Paris, France from 13th to 15th June 2018, received one of the best paper award. In total 3 papers were awarded as the best papers with no […]

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Impressions from HealTAC2018 conference

On 18th and 19th April 2018, the first UK health text analytics conference (HealTAC) took place in Manchester.  The main conference venue was Pendulum hotel, located on Stackville street, close to the north University of Manchester campus, the former UMIST. I had a pleasure to participate and help with a certain organisational things, as a […]

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Moment when my idea became a web standard

This is the story how one schema I worked on as a side project suddenly found its place in W3C recommendation. In November 2015, I went with my supervisor to Japan. In small cities of Mishima and Ito, about 1 hour train ride from Tokyo was held Biomedical Linked Annotation Hackathon (BLAH2) to which my supervisor […]

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What is the structure in data?

Have you ever wondered what is structured data? Why is this important? Well, from structured data we can extract semantic and know what is in the data, use the data. However, if we don’t know how data is structured, we will be unable to extract semantics and to understand it. There are plenty of data […]