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NLP Course Instructor Office Hours - Shared screen with speaker view
vinay
01:03:16
Chat bots
Vishal Patel
01:03:17
contextual analysis?
Dhiraj Bagul
01:03:35
Text summarization
Aditya Maheshwari
01:03:35
Screen Readers?
Farhan Kurush K Kapadia
01:03:37
Text summarization
Jodh
01:03:39
google search
Neil
01:03:39
Sentiment Analysis?
Yash
01:03:47
Generating images from text description
Aditya Maheshwari
01:05:54
yes
Vishal Patel
01:05:54
ive heard of it
Rich Magnotti
01:05:55
heard of it
Janish Parikh
01:06:00
Yes
vinay
01:07:10
yes
SIDDHANT KOCHREKAR
01:07:12
yes
Rahul Dev Ellezhuthil
01:07:13
yes
Vishal Patel
01:07:14
on my list is it good?
Vedang Anand Waradpande
01:07:15
yes
Govind Krishnan Gangadhar
01:11:35
hahaha
Rich Magnotti
01:11:41
lol!
SIDDHANT KOCHREKAR
01:17:39
😂
Aditya Maheshwari
01:18:07
Becomes a tongue twister too
Neil
01:19:20
councilmen
vinay
01:19:38
demonstraters
Jodh Singh
01:19:48
tone?
Vishal Patel
01:19:48
conceptual history with the words
Dhiraj Bagul
01:19:50
Based on context
Dhruv Metha Ramesh
01:19:50
verb
Rahul Dev Ellezhuthil
01:19:56
the councilmen wouldn't want violence
vinay
01:20:37
I understand that councilmen typically don’t advocate fear
Vishal Patel
01:23:59
seems like for nlp, we will need metadata on words or context history that may not be provided by training data like a document, making it especially hard in my eyes
Michael Yen
01:48:34
is everybody responsible for reading the paper weekly for the discussion or just the presenters?
SIDDHANT KOCHREKAR
01:53:53
Does anyone have a list of early papers in NLP/linguistics , or the ones which are really important to the early developments in the field (just basic enough to get started) ?
SIDDHANT KOCHREKAR
01:56:16
Got it .. A top down approach !
Govind Krishnan Gangadhar
02:00:18
By the project being publication ready, should it be on the levels of EMNLP, ACL, NIPS or ACM?
Vishal Patel
02:00:49
there is canvas discussion I think
Behzad Golparvar
02:02:03
For the in-person meetings, is it possible to start 12 to 1:30 pm instead of 1 to 2:30pm?
Vrinda
02:03:19
Will there be an order for paper readings? would it be voluntary?
ISHANI GHOSE
02:04:28
How many papers will be presented during each session? There are only 12 or 13 sessions
Dhruv Metha Ramesh
02:05:56
I can do it (I'm an MS student though)
Govind Krishnan Gangadhar
02:06:00
I can also
vinay
02:07:08
No
vinay
02:07:18
yes
Vishal Patel
02:07:19
yeah
Govind Krishnan Gangadhar
02:07:35
Simple Local Attn paper
Dhruv Metha Ramesh
02:08:13
I can talk about the Machine Translation Paper (Bengio et. al.) if a paper from outside the list is allowed
Dhruv Metha Ramesh
02:08:34
got it
Govind Krishnan Gangadhar
02:08:51
yes
Dhruv Metha Ramesh
02:09:23
I can do the first one then!
Justin Chen
02:09:30
I can talk about the gradient descent kernel machine paper
Dhruv Metha Ramesh
02:09:43
pre-train prompt
Dhruv Metha Ramesh
02:09:45
yes
Vrinda
02:10:32
Maybe we can fill a form with our paper of interest and collaborators
vinay
02:12:35
Very interesting course format..more exciting than typical ones.
Vishal Patel
02:13:11
thanks prof have a good day
SIDDHANT KOCHREKAR
02:13:20
Thank you prof