In information extraction frameworks, finding a matching for a word in a text is a very common issue. The matching is often done based in a given input dictionnary. This task is called Named Entity Recognition (NER). This task is useful to classify the words in the text. For instance, we could have a dictionnary…
Read MorePosts
- Dc4MT: a Data-centric Approach for Model Transformations 03/02/2021
 - Classifying Unstructured Models with Multi Layer Perceptrons 30/04/2020
 - BlOD: Blended Integrated Open Data 21/04/2020
 - Managing Open Data Evolution through bi-dimensional mappings 09/01/2020
 - Exploring logical information to map relational databases into ontologies 18/06/2019
 - How to normalise imprecise temporal expressions 17/05/2019
 - Migrating relational databases to NoSQL 17/05/2019
 - HOTMapper: mapping historical Open Data 15/01/2019
 - Personal research drawings 02/12/2018
 - Open Educational Resources Platform Based on Collective Intelligence 29/10/2018
 - Developing a Gazetteer with Approximate String Matching and Phonetics 10/09/2018
 - Large-scale open data processing using Apache Spark 31/08/2018