Evaluation of Question Answering Systems: Complexity of judging a natural language

no code implementations • 10 Sep 2022 • Amer Farea, Zhen Yang, Kien Duong, Nadeesha Perera, Frank Emmert-Streib

Question answering (QA) systems are among the most important and rapidly developing research topics in natural language processing (NLP).

Question Answering Word Embeddings

A clarification of misconceptions, myths and desired status of artificial intelligence

no code implementations • 3 Aug 2020 • Frank Emmert-Streib, Olli Yli-Harja, Matthias Dehmer

The field artificial intelligence (AI) has been founded over 65 years ago.

BIG-bench Machine Learning Misconceptions

Ensuring the Robustness and Reliability of Data-Driven Knowledge Discovery Models in Production and Manufacturing

no code implementations • 28 Jul 2020 • Shailesh Tripathi, David Muhr, Brunner Manuel, Frank Emmert-Streib, Herbert Jodlbauer, Matthias Dehmer

The data-driven knowledge discovery framework provides an orderly partition of the data-mining processes to ensure the practical implementation of data analytics and machine learning models.

BIG-bench Machine Learning

Explainable Artificial Intelligence and Machine Learning: A reality rooted perspective

no code implementations • 26 Jan 2020 • Frank Emmert-Streib, Olli Yli-Harja, Matthias Dehmer

We are used to the availability of big data generated in nearly all fields of science as a consequence of technological progress.

BIG-bench Machine Learning Explainable artificial intelligence