Given the zeta bytes of text data that we collect today and the huge processing power we have available, we are tempted to think that machines can understand and process language the way humans do. Well, do they? May be better than some humans. In terms of language abilities, are machines really on par with average humans?
In this talk, we will discuss the evolution of NLP from its humble beginnings. We will briefly discuss the benchmarks between natural understanding and “artificial” natural understanding. We will then look at some of the glaring gaps and understand what are the research and practices to address these gaps.
Key Takeaways for the Audience
- How do you benchmark an NLP system
- The areas where current techniques fail
- Possible research gaps
Check out the video below to know more about the talk.
