Post Rebuttal: Thank you for your response. I do see the advantages you listed to support the choice of language over programs. Overall, I feel the general direction of using language for intermediate supervision is really interesting and worthy of further study. This paper could be significantly improved however in some regards. For example: - Authors should study the generated language to test it for compositionality (as other reviewers have pointed out).

How insurance chatbots use decision trees and natural language processing to meet insureds' needs The insurance industry's sales and customer success teams are under pressure to deliver positive customer experiences faster than their competition. Customers expect an honest and positive experience in all end-to-end transactions like quoting, policymaking, and policy activation. Today, rising costs and long wait times have led carriers and brokers to deploy insurance chatbots to meet increased demand. So, what makes a positive customer experience? A recent report by PwC says nearly 80% of all American consumers point to speed, convenience, knowledgeable help, and friendly service as the most critical elements of a positive customer experience.

The greatest test that the chatbot business faces is numbness. "We need to continue instructing individuals about the innovation and its advantages. Chatbots, chatterbots or bots are PC software that reproduce communication among people and machines. Alexa, Google Assistant or a mechanized financial bot are a few instances of bots which are automating procedures and sparing human time by its administrations. As of now, there are two significant varieties of bots, they are Rule-based bots and AI bots. Rule-based bots pursue a particular stream direction and are not dynamic in their cooperations. Basic instances of rule-based bots are client support calls where you need to pick a particular number or direction to know explicit data. AI or Artificial Intelligence upheld bots are progressively unique and progressed in nature. They use NLP or Neuro-Linguistic Programming to empower a machine to be fit for having a fluctuated and genuinely insightful discussion with people. Alexa is a case of the equivalent. Bots are being utilized in web based business, banking, travel, land and different parts. In India, Mahindra and Mahindra, Raymonds, Axis Bank, ICICI Bank, Godrej, Tata Group, Reliance Group are a portion of the numerous organizations utilizing bots. "The worldwide market for chatbot by 2023 will be $ 5.6 billion and 36 percent of it will originate from India," says Himanshu Saxena, Co-Founder and CEO at Suzami Tech. As per Saxena, chatbots are as of now being utilized for three fundamental capacities, they are – Customer self-administration, Operations help and Enterprise capacities. "Bots in different dialects, sound chatbots and bots having more developed conversational abilities are the patterns that will rise more grounded," says Alit Deshmukh, Managing Director, Equirus Capital. Saxena trusts Bert by Google is a weighty accomplishment in chatbot technology. "India is a colossal market and SME advertise is generally undiscovered by the chatbot business.

Chatbots are one of the most famous technologies. Bots are brilliant, and they can answer logically. Chatbots are very fast, so users want to use it in more sectors to avoid human interactions. It was invented to interact with customers and solve their problems without direct communication. These two have their unique way of work.

Until a decade ago, the only option people had to reach out to a company was to call or email their customer service team. Now, companies offer a chat team to provide better round-the-clock customer service. According to a Facebook-commissioned study by Nielsen, 56% of people would prefer to message rather than call customer service, and that's where bots come into play. Bots are revolutionizing the way companies interact with their customers. A decade ago, bots were considered a passing tech fad.

A couple of years ago, when talking about bots, people would have easily given you either a questioning side-eye or a pitiful look. Bots have long had a bad rep in the general public. The naughty list includes click bots that mess with your pay-per-click (PPC) campaigns, imposter bots that launch denial of service attacks, scraper bots that steal your meticulously crafted content, spam bots that keep pestering you with unwarranted emails or form submission and social media bots that spread noise and the proverbial'fake news'. In fact, 80% of companies plan to implement chatbots by 2020. Today, chatbots play a role in many business functions, including marketing, eCommerce and customer service, the latter of which has the potential to produce $23 billion in savings.

Consumers today have high expectations for customer service. They want service that is fast, personalized, and available wherever they are. Companies want to provide great service, but with new channels such as web chat, messaging apps, and in-app support cropping up, it's hard for companies to know where to invest their customer service dollars. In many ways, bots have been positioned as the answer. Many customer inquiries are routine and, in theory, could be easily (and inexpensively) handled by bots.

Chatbots are here to stay. While a year ago, many in the tech industry saw this as yet another Silicon Valley fad that was more hype than substance, that debate has largely been put to rest now. Today bots are being deployed by major companies in almost every sector. But now, there is an intra-bot war brewing in the bot community. In October, we conducted a webinar on the fall of mobile apps and the rise of bots which had 145 attendees.