Category: Artificial intelligence
View, opinions and news regarding artificial intelligence. This can be quite broad, as artificial intelligence encompasses areas such as computer vision, robotics, natural language processing, machine learning, automated reasoning, etc.
Problems with knowledge graphs and perceptions about them
Knowledge graphs have for some time traction in both research and academia. Most of the traction started in the 1990s with semantic web, which was one iteration of Web 3.0 (before blockchain), but then it expanded with the new graph databases. Since Google in 2012 introduced knowledge graph in industry…
What is the difference between AI and machine learning
Recently an acquaintance of mine sent me the following article AI and ML: Are they one and the same? published by Makeen and asked for my opinion, so I thought I would address the topic as well and expand a little bit on what is written in the article. I…
Announcing new online courses
What is better way to share knowledge with wider audience then creating an online courses. For a while, I have been thinking about this idea and how to effectively share knowledge. Finally, I can announce that I am about to build a small online school with the set of low-cost/high-value…
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
[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”.
Building Named Entity Recognizer (NER) using Conditional Random Fields (CRF)
Named entity recognizer is a program that recognizes named entity in text. The named entities could be anything from locations, company or person’s names, drug or disease names, etc.
Management of AI (Artificial Intelligence) projects
Increasingly companies are nowadays going towards building systems that contain at least a part that is powered by Artificial Intelligence (AI). However, there is shortage of people who are experienced in managing such projects. Whether it is a system that utilizes natural language processing, computer vision or some sort of…
Ideas for the future
I would like to state a couple of ideas that I have been thinking in the past number of days regarding what I do, which generally is natural language processing and machine learning. They may be something I am already working on and some ideas for the future and future…
Starting Inspiratron talks podcast
For a while, I have been preparing for this step. This blog got it’s audio podcast show and it is called Inspiratron talks. First I will give some links and then talk about mission and vision of the podcast. Inspiratron talks is hosted at the moment on SoundCloud: At the…
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…
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…
Predicting stock prices using recurrent neural networks (LSTM)
Just two days ago, I found an interesting project on GitHub. I was reminded about a paper I was reviewing for one journal some time ago, regarding stock price prediction using recurrent neural networks that proved to be quite good. I searched the web for recurrent neural networks for stock…