Bots & Language Processing

Tuesday, October 26, 2021

- PDT
PRO WORKSHOP (AI): Evolution of Conversational AI: From Rules to Transformers Such as BERT and GPT-3
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Chandra Khatri
Chandra Khatri
Got It AI, Chief Scientist and Head of AI

Conversational AI has been transforming various industries such as Automation, Contact Center, Assistants, and eCommerce. It has undergone several phases of research and development. Prior to the 1990s, most systems were purely based on rules. Then came machine learning based systems, however, it was still hard to manage multiple domains and scenarios. To address these issues, "Skills-based" and "Domain-Intent-Slot" based systems were proposed. Post 2013, Transfer learning and Deep Learning based systems further enhanced the performance substantially by scaling the system to millions of users across a variety of applications. Despite significant progress in the past decade, most systems rely on large amounts of data annotation for Language Understanding, configurations for Dialog Management, and templates for Language Generation. Within the last two years, Transformers based models such as BERT and GPT-3 have been used to depict the power of unsupervised learning and generative systems across all aspects of Conversational AI: Speech Recognition, Language Understanding, Dialog Management, and Language generation. In this talk, I will showcase how Conversational AI has evolved from rules to unsupervised and generative systems and what we can expect in the short and long-term future.

Wednesday, October 27, 2021

- PDT
PRO TALK (AI): How Conversational AI Transforms Customer Experience
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Alex Farr
Alex Farr
Zammo.ai, Founder and CEO

As AI continues to transform our world, people are becoming more accustomed to conversing with voice assistants and chatbots to accomplish an increasing number of tasks - naturally, that includes search. Think about how fast people speak versus how they type. 41% of adults, and 55% of teens, use voice search daily.

Because intelligent assistants are able to decipher natural language, people are using voice search far more conversationally than typed search. Today’s natural language processing technologies are enabling rapid and continuous improvement to the speed and accuracy that intelligent assistants process user queries and deliver results, making voice search a better user experience..

This advancement will reshape customer service and support as well as information search over the next five years.

In this talk, Alex Farr will explain how easy it is for any business user to build and deploy an intelligent chatbot including highlighting several use cases where it has improved customer experience and accessibility, including:
Governments
Businesses
Non-profit organizations

Thursday, October 28, 2021

- PDT
OPEN TALK (AI): Making the World Smaller with NLP: Using AI to Link Data and Make it Easier for Machines (and Humans) to Understand
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Brian Munz
Brian Munz
expert.ai, Product Manager, NL API & Developer Experience

Linked Data and the Semantic Web have come a long way in helping to achieve a world that is more understandable to computers, but unstructured data can still be especially challenging when trying to extract concepts and metadata into standardized concepts.  In this presentation, you will learn about the background of Linked Data (JSON-LD in particular) and how natural language processing can be used to help take advantage of this increasingly important effort.  From more easily enhancing the SEO of a website, to making your application more interoperable, natural language processing can make your projects better understood by humans and machines alike.

- PDT
OPEN TALK (AI): Multilingual Natural Language Processing Using Python
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Gajendra Deshpande
Gajendra Deshpande
KLS Gogte Institute of Technology, Assistant Professor

Natural Language Processing(NLP) is an interesting and challenging field. It becomes even more interesting and challenging when we take into consideration more than one human language. when we perform an NLP on a single language there is a possibility that the interesting insights from another human language might be missed out. The interesting and valuable information may be available in other human languages such as Spanish, Chinese, French, Hindi, and other major languages of the world. Also, the information may be available in various formats such as text, images, audio, and video.

In this talk, I will discuss techniques and methods that will help perform NLP tasks on multi-source and multilingual information. The talk begins with an introduction to natural language processing and its concepts. Then it addresses the challenges with respect to multilingual and multi-source NLP. Next, I will discuss various techniques and tools to extract information from audio, video, images, and other types of files using PyScreenshot, SpeechRecognition, Beautiful Soup, and PIL packages. Also, extracting the information from web pages and source code using pytessaract. Next, I will discuss concepts such as translation and transliteration that help to bring the information into a common language format. Once the language is in a common language format it becomes easy to perform NLP tasks. Next, I will explain with the help of a code walkthrough generating a summary from multi-source and multi-lingual information into a specific language using spacy and stanza packages.

Outline
1. Introduction to NLP and concepts (05 Minutes)
2. Challenges in Multi source multilingual NLP (02 Minutes)
3. Tools for extracting information from various file formats (04 Minutes)
4. Extract information from web pages and source code (04 Minutes)
5. Methods to convert information into common language format (05 Minutes)
6. code walkthrough for multi-source and multilingual summary generation (10 Minutes)

- PDT
OPEN TALK (AI): How Conversational AI Is Helping the Helpdesks in the Post-COVID-19 Pandemic World?
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Prashant G Bhoyar
Prashant G Bhoyar
AIS, Cloud Solution Architect

We will begin with key stats from Gartner and then ask the panel/co-moderators series of questions to initiate the conversation. During the panel, we will also use online polls to engage the attendees. We will also try to answer attendees' questions as well.The covid-19 pandemic has put a lot of strain on the helpdesk because the majority of the organizations had to start working remotely even if they were not ready for it. We will discuss how conversational AI is assisting helpdesks to navigate these challenges.