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

 

 

 

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