NLG | NLG for E2E dataset | Dataset library

I was trying the hugging face gpt2 model. I have seen the run_generation.py script, which generates a sequence of tokens given a prompt. I am aware that we can use GPT2 for NLG.

In my use case, I wish to determine the probability distribution for (only) the immediate next word following the given prompt. Ideally this distribution would be over the entire vocab.

For example, given the prompt: "How are ", it should give a probability distribution where "you" or "they" have the some high floating point values and other vocab words have very low floating values.

How to do this using hugging face transformers? If it is not possible in hugging face, is there any other transformer model that does this?

In the context of Natural language Generation (NLG), I want to generate 300 sentences with Python's library "Markovify" base on the principle of Makov Chain. My input file which containing text is "SD".

First, I was able to print all the iteration's (=300) results (texts) with the following code :

I have created my first React application which takes data submitted by a user via a form and writes a message based on the data they've entered. I have used React with hooks to do this and would like to continue to use hooks.

Below is a cut down version of my component. I'd like to improve the modularity by extracting the getDate function and moving it into a separate js file. This will allow me to reuse it elsewhere. Could you advise how to do that based on my cut-down code below?

NLG.js (all code in a single component)

Hello all I have created a excel add in using "Office js" in that allows the user to select cell ranges based on which a NLG narration is returned from my backend. The response from my backend is a html string, I would like to render this html inside excel text box. Can anyone help me out. Please do not suggest me to write a regex to strip down HTML tags because it removes all text formates and styles along with it.

I have used addTextBox function of office js to create a text box which accepts string as a parameter.

I'm totally clueless with Unix-type command line compilation, and now I'm saddled with a document written in LaTEX to compile using a provided makefile.

Bad enough situation, but it gets worse: I work under Windows, have installed all the latex components called by the documentation, including Pygmentize, I even installed Make for Windows, but still can't get it to work.

First of all, what is the correct syntax when calling "Make" to have it use the makefile: just "make", or "make", followed by the intended target pdf file name?

I tried both, the first resulted in:

I'm trying to count running time of build heap in heap sort algorithm

Is there any working Natural Language Generation (NLG) system which can describe the numerical data in a financial balance sheet. If so, please provide the code/resource. I tried but couldn't find any working system.

I have written a code where I am trying to pick out some lines from text files and append them to another text file;

I have a folder :

E:\Adhiraj Chattopadhyay\NLG Dataset\FYP DB I have several sub-folders in it, each of which contains a text file. So I have entered this directory in my python intrpreter;

I am trying to rank these functions — 2n, n¹⁰⁰, (n + 1)², n·lg(n), 100n, n!, lg(n), and n⁹⁹ + n⁹⁸ — so that each function is the big-O of the next function, but I do not know a method of determining if one function is the big-O of another. I'd really appreciate if someone could explain how I would go about doing this.