Building an intelligent chatbot is not devoid of challenges. From making the chatbot context-aware to building the personality of a chatbot, there are challenges involved in making the chatbot intelligent.
Let's talk about context integration, coherent responses, model assessment, and reading intention.
Sensible responses are the holy grail of chatbots. Integrating context into the chatbot is the first challenge to conquer. In integrating sensible responses, both the physical context and the linguistic context must be integrated. For incorporating linguistic context, conversations are embedded into a vector, which presents a challenge. Contextual data, location, time, date, details about users, and other such data must be integrated with the chatbot.
Achieving coherence is another hurdle to cross. The chatbot must be powered to answer consistently to inputs that are semantically similar. For instance, an intelligent chatbot must provide the same answer to queries like Where are you from? and Where do you reside? Though it looks straightforward, incorporating coherence into the model is indeed a challenge. The secret is to train the chatbot to produce semantically consistent answers.
How is the chatbot performing?
In some cases, reading intention becomes a challenge. Take generative systems, for instance. They provide generic responses for several user inputs. The ability to produce relevant responses depends on how the chatbot is trained. Without being trained to meet specific intentions, generative systems fail to provide the diversity required to handle specific inputs.
Planning to Use NLP and Machine Learning
Another factor that deserves attention is the plan to leverage NLP or machine learning for building your intelligent chatbot. Natural language processing is about finding answers by parsing language into intents, entities, agents, actions, and contexts. With NLP as the driving force, platforms like WIT, API, and LUIS can be leveraged to build an intelligent chatbot.
Is an Intelligent Platform an Alternative to an Intelligent Chatbot?
Building an intelligent chatbot is one school of thought. Building a chatbot on an intelligent platform is altogether a different one. Today, several of successful chatbots (including x.ai and Google Assistant) have been built on intelligent platforms. In this scenario, the platform becomes the intelligent agent and the chatbot becomes a sensor for this intelligent agent.