SQUAD application through Knowledge Graph for COVID-19 Literature

There are numerous documents and research papers being published for COVID-19 and doctors are not able to absorb the content of all the literature. It has become a real challenge to extract relevant information in a short span of time.

Knowledge Graph along with SQUAD application can help process multiple documents and extract precise information from a set of documents quickly. This will be a very handy application for healthcare professional to extract relevant information without going in detail with each application.

The session will demonstrate the following:

a) Text Processing of COVID-19 literature

b) Named Entity Extraction from the documents using BERT/Spacy

c) Building a Knowledge Graph of the documents

d) Building question-answer application

 
 

Outline/Structure of the Demonstration

1. Emerging landscape of AI in 2019-20 - 2 Mins

2. Semantic Information Extraction from text 5 Mins

3. Google BERT VS Knowledge Graph - 5 Mins

4. Building Knowledge Graph and Information Retreival - 5 Mins

5. Q&A - 3 Mins

Learning Outcome

1. Understand Text Processing for Natural Language Processing

2. Learn Named Entity Relationship (NER)

3. Understand Creation of Knowledge Graph

4. Information extraction from Knowledge Graph

Target Audience

Healthcare Professionals, Doctors, AI Researchers

schedule Submitted 3 months ago

Public Feedback

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  • Deepti Tomar
    By Deepti Tomar  ~  2 months ago
    reply Reply

    Hello Anupam,

    Thanks for your time and efforts on the proposal! Could you answer the following questions to help the program committee understand your proposal better?

    • Are you planning to share demo(s)/use case(s) from your project work (industry-specific use cases)? Speaker's experience on the project helps people understand the concept better.
    • Did you already use these techniques to help solve a particular problem?
    • If yes, would you be sharing the Challenges faced in the implementation of the technique in your application and the workarounds along with the Results?

    Thanks,

    Deepti

    • Anupam Ranjan
      By Anupam Ranjan  ~  2 months ago
      reply Reply

      Hi Deepti

      1. Yes, I will demonstrate the concept with a demo. I shall take a couple of live documents and build the knowledge graph from them and post that will demonstrate extracting answer to the questions from the knowledge graph.

      2. Yes, we have tried this for a sample documents in the CodeJam of Cellstrat on 4th April 2020

      3. Yes, will be sharing challenges, how did we overcome those. Also, I will share comparison of NER between Spacy and BERT and will explain advantages of BERT over Spacy

      Thanks

      Anupam

      • Deepti Tomar
        By Deepti Tomar  ~  2 months ago
        reply Reply

        Hello Anupam, 

        Thanks for your response! Could you give more details on the real-world implementation of your work?

        Thanks,

        Deepti

        • Anupam Ranjan
          By Anupam Ranjan  ~  2 months ago
          reply Reply

          Hi Deepti

          There could be many real world application of KG. I am giving you 2 such examples:

          1. Due to Covid-19 pandemic, everyday numerous documents and research papers are being published. Healthcare professionals are extremely busy attending to patients and cannot go through all the documents. KG can solve this problem. We can build KG with all the documents and healthcare professional can just query the KG to extract specific information from such document. This will save their time enormously.

          2. In manufacturing industry, the user/technical manuals are very exhaustive.  Technicians on shop floor cannot go through all the documents and remember those. KG can again solve this by processing the user manuals and giving on demand specific information to the technicians on the shop floor.

          Similarly, any industry where the documentation/manuals are huge and difficult to process by ground staff, Knowledge Graph can be very useful.

          Thanks

          Anupam

  • Natasha Rodrigues
    By Natasha Rodrigues  ~  3 months ago
    reply Reply

    Hi Anupam,

    Thanks for your proposal! Requesting you to update the Outline/Structure section of your proposal with a time-wise breakup of how you plan to use 20 mins for the topics you've highlighted?

    To help the program committee understand your presentation style, can you provide a link to your past recording or record a small 1-2 mins trailer of your talk and share the link to the same?

    Thanks,

    Natasha

    • Anupam Ranjan
      By Anupam Ranjan  ~  3 months ago
      reply Reply

      Hi Natasha

      I have updated the Outline/Structure section and also provided the URL for past recording.

      Thanks

      Anupam

      • Natasha Rodrigues
        By Natasha Rodrigues  ~  3 months ago
        reply Reply

        Hi Anupam,

        Thanks for the update and the voice-over video, requesting for a video with you the presenter in the video in order for the program committee to understand your presentation style.

        Thanks,

        Natasha 

        • Anupam Ranjan
          By Anupam Ranjan  ~  3 months ago
          reply Reply

          Hi Natasha

          I have updated another video link so that you can review my presentation style.

          Thanks

          Anupam


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