Big smiley from students at emoticon creator’s talk

Currently working at the Carnegie Mellon University, he was here as part a series of guest lectures on topics related to Artificial Intelligence. He spoke about ‘Natural Language’. He stressed on the need for Natural Language Understanding (NLU), over, meaning-free Natural Language Processing. He also said that a really good and detailed knowledge base was required for best use of NLU. 

He went on to explain in detail, about the NLP architecture and standard model of NLP, and also went into great detail on each of the components. Subsequently, he discussed some of the issues that NLU does not address and how the NLU aims to solve these issues, and what needed to be done to overcome the same. He also highlighted some of the complications involved in NLP. He then spoke about Natural Language Generation (NLG), and explained some of its concepts briefly. There are many sub-tasks involved in NLG as well. 

He also shared a few examples of a real Scone knowledge base code, and how it works, clearing the doubts of the students.