News Story

Best Paper at NLDB 2017

Saturday 1 Jul 2017

A paper coauthored by new KMi member,  Advaith Siddharthan,  ex-KMi member Chenghua Lin and their PhD student Mohamad Barawi was awarded the best paper award at the 22nd International Conference on Natural Language & Information Systems – NLDB 2017 (17% acceptance rate for full papers). The extended version of the paper below will be published in the Data & Knowledge Engineering Journal (Springer) later this year.

 

Automatically Labelling Sentiment-bearing Topics with Descriptive Sentence Labels. Mohamad Hardyman Barawi, Chenghua Lin, and Advaith Siddharthan

 

 

 

KMi research informs parliamentary debate on AI, labour, and gender inequality

KMi is addressing technology‑facilitated gender‑based violence

From lab to standard: KMi research behind the new W3C Data Façades community group

Open University Researchers awarded £450,000 for “Unlearning AI” 

Breadth vs Depth in an AI world: Rethinking graduate skills for 2036