WP3.2

Big Text to Knowledge (BText2K)

The work carried out in this WP targets the extraction of knowledge from unstructured text, especially the huge amounts of text (“Big Text”) stored in, or flowing through, large infrastructures like a cloud or the Web. In particular, there is a high interest in the extraction of binary relations between named-entities and relations that characterize entities. This kind of relations are of great relevance, being fundamental for multiple advancements in Natural Language Processing, and also with many interesting applications in different areas of Artificial Intelligence.

Team & Collaborators

Publications

  • Moutinho, V.; Brazdil, P., & Cordeiro, J. (2019). Association and Temporality between News and Tweets. In Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management – Volume 1: KDIR, pages 500-507.

Related activities

  • Conference presentation at the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management.