Identity of Long-Tail Entities in Text

Today Filip Ilievski, the second of 6 PhD’s is going to defend his thesis, entitled: “Identity of Long-Tail Entities in Text”. Recent incidents witness that digital identity can easily be confused, stolen, or abused. Consider, for instance, the case of the former Brittish MP, Lord Alistair McAlpine, who was falsely accused of child abuse due READ MORE

The Meaning of Word Sense Disambiguation Research

After five years of my Spinoza project Understanding-Language-By-Machines, I am very pleased to inform you that today the first of 6 PhD’s is going to defend his thesis, entitled: “The meaning of word-sense-disambiguation research”, by Marten Postma. A fascinating report that reflects on more than 15 years of research to understand the meaning of language. READ MORE

— SemEval-2018 Task: Counting Events and Participants in the Long Tail

Marten Postma, Filip Ilievski, and Piek Vossen from CLTL are hosting task 5 at SemEval-2018, entitled “Counting Events and Participants within Highly Ambiguous Data covering a very Long Tail”. This is a “referential quantification” task that requires systems to establish the meaning, reference and identity of events and participants in news articles. The task data (texts READ MORE