Text Summarization: Is it that simple?

theAayushbajaj commented 5 years ago

Abstract (2-3 lines) Text Summarization which seems pretty simple but here's the fun fact, No certain breakthroughs has been made in this field which is open-source and gives a significant ROUGE score(or any other comparison parameter). In Automatic Text Summarization, we'll particularly focus on Abstractive Summarization (other is Extractive) which revolves around NLG and NLU using Deep Learning and deep Reinforcement Learning methods
Brief Description and Contents to be covered In Automatic Text Summarization, we'll particularly focus on Abstractive Summarization (other is Extractive) which revolves around NLG and NLU using Deep Learning and deep Reinforcement Learning methods. Contents to be covered:

What is Text Summarization? What breakthroughs have been on a machine generated summary What is the difference between Extractive and Abstractive Methods of Summarization Abstractive Summarization using Deep Learning Abstractive Summarization using Deep Reinforcement Learning
Pre-requisites for the talk

Python knowledge would be preferred Machine Learning and some knowledge of Neural Networks
Time required for the talk -10 mins
Link to slides https://docs.google.com/presentation/d/1souDktueEFa8aQSCof6bXqjfPxirweBcor5NN7wVTSs/edit?usp=sharing
Will you be doing hands-on demo as well?

Yes(for the completed part of the project since the project is under construction)
Link to ipython notebook (if any)
About yourself

I am third-year undergraduate In Btech Information Technology from MAIT, Delhi I am working on Machine Learning and Data Science stuff for the past 2 years and worked with some reputed companies as well. Currently, I am working with Micromax on their upcoming project as a freelancer. Have a look at my profile: https://drive.google.com/open?id=1wrUNZqX_cfbt6ovz6zDpRU57CH5fCey4
Are you comfortable if the talk is recorded and uploaded to PyData Delhi's YouTube channel ? Yes
Any query ? No

shagunsodhani commented 5 years ago

Thank you for the proposal @theAayushbajaj. It looks very interesting! Could you please update the link to the slides as well.

theAayushbajaj commented 5 years ago

Hi @shagunsodhani , I have updated with the slides link, Suggestions will be appreciated (comment rights to the slides has been enabled)

MSanKeys963 commented 5 years ago

Please review @shagunsodhani !

MSanKeys963 commented 5 years ago

Hi @theAayushbajaj. Can you please include more content in the slides? It's really difficult to review the slides with existing content.

theAayushbajaj commented 5 years ago

Hi @MSanKeys963 , I'm on it. I'll comment again once finished.

Thank you

theAayushbajaj commented 5 years ago

Hi @MSanKeys963 , Slides link has been updated : https://docs.google.com/presentation/d/1souDktueEFa8aQSCof6bXqjfPxirweBcor5NN7wVTSs/edit?usp=sharing

MSanKeys963 commented 5 years ago

Please have a look @shagunsodhani.

MSanKeys963 commented 5 years ago

Hi @theAayushbajaj, would like to deliver this in our upcoming meetup?

theAayushbajaj commented 5 years ago

Hi @MSanKeys963 , I would love to deliver this and share my knowledge when is this meetup scheduled?

MSanKeys963 commented 5 years ago

Next meetup is on 17th of March. Here: https://www.meetup.com/PyDataDelhi/events/259625888/ Should I confirm your slot?

theAayushbajaj commented 5 years ago

Yes absolutely, More details on the same will be appreciated

MSanKeys963 commented 5 years ago

Ping me on +91-8860391089.

schopra6 commented 5 years ago

Hi @theAayushbajaj , It will be really informative for the folks attending if you can explicate state of the art of abstractive text summarization https://aclanthology.info/pdf/E/E17/E17-2047.pdf. and https://arxiv.org/pdf/1705.03122.pdf.

theAayushbajaj commented 5 years ago

Hi, I'll also be sharing my approach and implementation in the talk. Considering I got only 15 minutes it will be a bit tricky to explain the research papers in detail.

On Sat, Mar 16, 2019 at 2:21 PM darke-spirits notifications@github.com wrote:

Hi Ayush, It will be really informative for the folks attending if you can explicate state of the art of abstractive text summarization https://aclanthology.info/pdf/E/E17/E17-2047.pdf. and https://arxiv.org/pdf/1705.03122.pdf.

— You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub https://github.com/pydatadelhi/talks/issues/89#issuecomment-473512770, or mute the thread https://github.com/notifications/unsubscribe-auth/Acj1ls0mECkM4lC_outjBS5IW1ChI81Xks5vXLCogaJpZM4aBJ5Q .

-- Regards, Aayush Bajaj

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Text Summarization: Is it that simple? #89