Querying text annotations at scale with SPARK 2019-09-10 Natural Language Processing Academic Publication, Annotations, Bioinformatics, NLP, Query, Spark Whether you are analyzing textual data or building features from text, you […]
Computer Science
AI or not AI? Classifying ArXiv articles with BERT
AI or not AI? Classifying ArXiv articles with BERT 2019-08-26 Natural Language Processing Academic Publication, BERT, NLP Things are evolving faster and faster in the NLP world. We can’t go […]
Node2vec and arXiv data
Node2vec and arXiv data 2019-08-15 Artificial Intelligence, Computer Science, Knowledge Graph Mining Academic Publication, Knowledge Graph, Node2vec Since its publication in 2016 by Aditya Grover and Jure Leskovec, Node2vec has […]
Linked Data – Past, present (2019) and future
Linked Data – Past, present (2019) and future 2019-06-14 Semantic Web Eurostat, Knowledge Graph, Linked Data, Semantic Web, Wikidata About two weeks ago, I had the pleasure to give a […]
Linked Data: combining data from Wikidata and Eurostat datasets
Linked Data: combining data from Wikidata and Eurostat datasets 2019-05-29 Semantic Web Eurostat, Linked Data, Semantic Web, Wikidata With the rise of open data, it has never been so simple […]
Knowledge Graph Features and Explanation
Knowledge Graph Features and Explanation 2017-10-23 Knowledge Graph Mining Explanation, Knowledge Graph, Link Prediction Although latent feature models such as TransE are demonstrating state-of-the-art performance in the task of link […]
Translating Embeddings (TransE)
Translating Embeddings (TransE) 2017-08-29 Artificial Intelligence, Computer Science, Knowledge Graph Mining Knowledge Graph, Link Prediction, TransE In this post I present Translating Embeddings (TransE), a method for the prediction of […]
WebGL
WebGL 2017-07-24 Computer Science, Mathematics linear algebra, visualisation, WebGL Using effective animations, Steven Wittens presents the foundation behind WebGL such as rasterisation, aliasing, pixel sampling and their relation to Linear […]