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Talks at PyData Bangalore meetups
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Understanding Extractive Text Summarization #31

Closed thejasbhat closed 4 years ago

thejasbhat commented 4 years ago

Title

Understanding Extractive Text Summarization

Description

A glance on evolution of extractive summarization techniques from word frequency based to fine tuning of BERT.

Duration

Prerequisites:

  1. Familiarity of NLP terminologies.
  2. Basic understanding of Deep-learning techniques.
  3. Basic Python

Outline

As the use of ML/AI technology is growing there is a need to tap the potential of unstructured data. One of the primary task of NLP is to get the summary and key words from a text corpus. Although Abstractive summarization is desirable at this point of time the readability of lengthy content created by algorithms is not production ready. Extractive summarization with better readability is a implementable solution for summarization problem.

Topics

What is summarization? Importance of text summarization Type of text summarizations Why Extractive Evolution from word frequency based to text rank to BERTSum. Explain BERT-Sum approach in detail : Use of Attention Mechanism

TrigonaMinima commented 4 years ago

Hey @thejasbhat are you available to present on 29th Feb?

thejasbhat commented 4 years ago

Hi @TrigonaMinima out of town on 29th.

TrigonaMinima commented 4 years ago

@thejasbhat cool. Thanks for the response. Let us know if you'd be willing to present in the future date. Will reopen the issue.