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

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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 member of local organisation committee member.

On the first day of the conference, people started arriving between 8:30-9:00 for registration. During the registration people could have some coffee and pastry for breakfast. People having posters were directed to the poster room, so they can already hang their posters. The conference started at 9:00, with welcome speech, some health and safety procedures, which was followed

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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 was invited. He could not stay for the whole period, so he offered me to go, which I accepted. The event was organised by Japanese Database Center for Life Sciences (DBCLS).

On the first day was the conference, where people were presenting their work mainly on annotating biomedical literature. My PhD was related, kind of similar topic, it was about information extraction from tables

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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 available around us and on internet. However, most of this data is not very structured. Some data have some structures and can be mined, however, some cannot be so easily. I would like to analyze how data is structured in most commonly used way to present data – article. However, here I would not go trough any code or how things should be done. It