Tag: natural language processing
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…
[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.
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…
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…
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…
Marvin – A tool for semantic annotation released
During the last week I have released a version of Marvin – a tool for semantic annotations, that is able to annotate text using various sources, such as UMLS (using MetaMap), DBPedia, using some SPARQL interface, WordNet and probably most importantly SKOS (Simple Knowledge Organization System ) format for representing lexicons,…
Expirience from Lisbon Machine Learning Summer School
I have participated on Lisbon Machine Learning Summer School (LxMLS), which took place on July 16-23 at Instituto Superior Técnico, a leading Engineering and Science school in Portugal. It is organized jointly by IST, the Instituto de Telecomunicações and the Spoken Language Systems Lab – L2F of INESC-ID. It was quite…
Marvin – semantic annotator
We created Marvin, an semantic text annotation tool that uses external resources such as DBPedia and WordNet to annotate semantically text. Marvin is built in java and can be used as a standalone application or as a library. Marvin semantic annotator already has a lot of knowledge, which will make…
xgoogle python library upgrade for google image search
Couple of days ago I realized that I need some library that will allow me search google and especially face images. I was previously working a bit with the Google API, however Google offers only 100 requests per day and there are some other limitations. It is very good API…
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….