Ontotext

MARCH 15, 2024

Challenges Medical multilingual question answering (QA) presents several challenges stemming from the diverse nature of medical terminologies and linguistic variations. Furthermore, as the clinical data is highly sensitive, there are no open-access models or datasets available to solve the task, especially in the multilingual setting.

Modeling 59

Modeling Metadata Testing Optimization 59

Domino Data Lab

JULY 1, 2021

In this blog post we present the Named Entity Recognition problem and show how a BiLSTM-CRF model can be fitted using a freely available annotated corpus and Keras. The model achieves relatively high accuracy and all data and code is freely available in the article. What is Named Entity Recognition?

Modeling 111

Modeling Statistics Testing Metrics 111

Ontotext

MARCH 7, 2024

To help in the battle against disinformation, Ontotext is tackling the challenge of identifying narratives or disinformation campaigns. According to recent publications for entity linking , Wikipedia and Wikidata are among the most popular ones. Wikidata is the biggest public knowledge graph, covering over 100 million entities.

Modeling 59

Modeling Metrics Business Intelligence Testing 59

Sisense

MAY 26, 2020

Programmers encounter many common challenges when trying to teach computers to understand natural language text data. In this post, we’ll discuss these challenges in detail and include some tips and tricks to help you handle text data more easily. Most common challenges we face in NLP are around unstructured data and Big Data.

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Unstructured Data Big Data Testing Machine Learning 98