Knowledge graphs have shown promise for several cybersecurity tasks, suc...
Software architectures for conversational robots typically consist of
mu...
We present a new approach to dialogue management using conversational
kn...
We propose a novel method to bootstrap text anonymization models based o...
We present a novel benchmark and associated evaluation metrics for asses...
We present skweak, a versatile, Python-based software toolkit enabling N...
Named Entity Recognition (NER) performance often degrades rapidly when
a...
Neural conversational models require substantial amounts of dialogue dat...
Distributional semantic models learn vector representations of words thr...
Reinforcement learning methods are increasingly used to optimise dialogu...