Ritwik Mishra

I am not sure whether Knowledge Graph Construction should be considered as same or different downstream application as compared to Knowledge Base Construction. I added a new subsection regardless.

Error in using STT

1

The Transcriber fails to initialize, ``` File "/home/sreyan/interspeech_hindi/self-supervised-speech-recognition/stt.py", line 250, in __init__ self.transcribe([sample_audio_path]) File "/home/sreyan/interspeech_hindi/self-supervised-speech-recognition/stt.py", line 297, in transcribe state['cfg']['model']['w2v_path'] = self.pretrain_model TypeError: 'Namespace' object does not support item assignment...

I am trying to install CRF++-0.51 for an [old shallow parser](http://ltrc.iiit.ac.in/showfile.php?filename=downloads/shallow_parser.php). It requires CRF++-0.51. When I run the installation instructions (written in ```INSTALL``` file), I observed that the command failed...

As far as I know, [LIME library](https://github.com/marcotcr/lime) generates rationales for the vocabulary of the sentence i.e. relevance values are predicted for each unique subtoken. For example: ``` exp = explainer.explain_instance("Hello...

Updated microsoft, google, and acm-india URLs

It is for staff (teachers etc) of a recognized university https://www.ugc.gov.in/pdfnews/4996878_TGGuidelines.pdf

Reference issue #37

on which you are calculating train and test accuracies

[QUESTION] How P(τ;θ) disappeared while estimating the gradients using trajectory samples?

2

I am referring to the gradient derivation [here](https://huggingface.co/learn/deep-rl-course/unit4/pg-theorem#optional-the-policy-gradient-theorem). The paragraph where the instructor claimed "we can approximate the likelihood ratio policy gradient with sample-based estimate" then term of P(τ;θ) (probability...

after 200 epochs