Abstractive Summarization using Pytorch

In this article, we demonstrate how you can easily summarize a text using Pytorch within a few simple steps. The model that we are going to be using is already pretrained, so no additional training is required :)

Abstractive Summarization is a task in Natural Language Processing (NLP) that aims to generate a concise summary of a source text. Unlike extractive summarization, abstractive summarization does not simply copy important phrases from the source text but also potentially come up with new phrases that are relevant, which can be seen as paraphrasing. Abstractive summarization yields a number of applications in different domains, from books and literature, to science and R&D, to financial research and legal documents analysis.

To date, the most recent and effective approach toward abstractive summarization is using transformer models fine-tuned specifically on a summarization dataset.

So without further ado, let’s get started!

#data-science #deep-learning #machine-learning #pytorch #python

What is GEEK

Buddha Community

Why Use WordPress? What Can You Do With WordPress?

Can you use WordPress for anything other than blogging? To your surprise, yes. WordPress is more than just a blogging tool, and it has helped thousands of websites and web applications to thrive. The use of WordPress powers around 40% of online projects, and today in our blog, we would visit some amazing uses of WordPress other than blogging.
What Is The Use Of WordPress?

WordPress is the most popular website platform in the world. It is the first choice of businesses that want to set a feature-rich and dynamic Content Management System. So, if you ask what WordPress is used for, the answer is – everything. It is a super-flexible, feature-rich and secure platform that offers everything to build unique websites and applications. Let’s start knowing them:

1. Multiple Websites Under A Single Installation
WordPress Multisite allows you to develop multiple sites from a single WordPress installation. You can download WordPress and start building websites you want to launch under a single server. Literally speaking, you can handle hundreds of sites from one single dashboard, which now needs applause.
It is a highly efficient platform that allows you to easily run several websites under the same login credentials. One of the best things about WordPress is the themes it has to offer. You can simply download them and plugin for various sites and save space on sites without losing their speed.

2. WordPress Social Network
WordPress can be used for high-end projects such as Social Media Network. If you don’t have the money and patience to hire a coder and invest months in building a feature-rich social media site, go for WordPress. It is one of the most amazing uses of WordPress. Its stunning CMS is unbeatable. And you can build sites as good as Facebook or Reddit etc. It can just make the process a lot easier.
To set up a social media network, you would have to download a WordPress Plugin called BuddyPress. It would allow you to connect a community page with ease and would provide all the necessary features of a community or social media. It has direct messaging, activity stream, user groups, extended profiles, and so much more. You just have to download and configure it.
If BuddyPress doesn’t meet all your needs, don’t give up on your dreams. You can try out WP Symposium or PeepSo. There are also several themes you can use to build a social network.

3. Create A Forum For Your Brand’s Community
Communities are very important for your business. They help you stay in constant connection with your users and consumers. And allow you to turn them into a loyal customer base. Meanwhile, there are many good technologies that can be used for building a community page – the good old WordPress is still the best.
It is the best community development technology. If you want to build your online community, you need to consider all the amazing features you get with WordPress. Plugins such as BB Press is an open-source, template-driven PHP/ MySQL forum software. It is very simple and doesn’t hamper the experience of the website.
Other tools such as wpFoRo and Asgaros Forum are equally good for creating a community blog. They are lightweight tools that are easy to manage and integrate with your WordPress site easily. However, there is only one tiny problem; you need to have some technical knowledge to build a WordPress Community blog page.

4. Shortcodes
Since we gave you a problem in the previous section, we would also give you a perfect solution for it. You might not know to code, but you have shortcodes. Shortcodes help you execute functions without having to code. It is an easy way to build an amazing website, add new features, customize plugins easily. They are short lines of code, and rather than memorizing multiple lines; you can have zero technical knowledge and start building a feature-rich website or application.
There are also plugins like Shortcoder, Shortcodes Ultimate, and the Basics available on WordPress that can be used, and you would not even have to remember the shortcodes.

5. Build Online Stores
If you still think about why to use WordPress, use it to build an online store. You can start selling your goods online and start selling. It is an affordable technology that helps you build a feature-rich eCommerce store with WordPress.
WooCommerce is an extension of WordPress and is one of the most used eCommerce solutions. WooCommerce holds a 28% share of the global market and is one of the best ways to set up an online store. It allows you to build user-friendly and professional online stores and has thousands of free and paid extensions. Moreover as an open-source platform, and you don’t have to pay for the license.
Apart from WooCommerce, there are Easy Digital Downloads, iThemes Exchange, Shopify eCommerce plugin, and so much more available.

6. Security Features
WordPress takes security very seriously. It offers tons of external solutions that help you in safeguarding your WordPress site. While there is no way to ensure 100% security, it provides regular updates with security patches and provides several plugins to help with backups, two-factor authorization, and more.
By choosing hosting providers like WP Engine, you can improve the security of the website. It helps in threat detection, manage patching and updates, and internal security audits for the customers, and so much more.

Read More

#use of wordpress #use wordpress for business website #use wordpress for website #what is use of wordpress #why use wordpress #why use wordpress to build a website

Abstract class & Abstract method in C# | OOP in C# Part-24

https://youtu.be/vonwoaUl0Hw

#oop #abstract #abstract method #abstract class #what is abstract

Abstractive Summarization using Pytorch

In this article, we demonstrate how you can easily summarize a text using Pytorch within a few simple steps. The model that we are going to be using is already pretrained, so no additional training is required :)

Abstractive Summarization is a task in Natural Language Processing (NLP) that aims to generate a concise summary of a source text. Unlike extractive summarization, abstractive summarization does not simply copy important phrases from the source text but also potentially come up with new phrases that are relevant, which can be seen as paraphrasing. Abstractive summarization yields a number of applications in different domains, from books and literature, to science and R&D, to financial research and legal documents analysis.

To date, the most recent and effective approach toward abstractive summarization is using transformer models fine-tuned specifically on a summarization dataset.

So without further ado, let’s get started!

#data-science #deep-learning #machine-learning #pytorch #python

Understanding Automatic Text Summarization-2: Abstractive Methods

This is my second article on Text summarization. In my first article, I have talked about the extractive approaches to summarize text and the metrics used. In this article, we are going to talk about abstractive summarization. We are going to see how deep learning can be used to summarize the text. So, let’s dive in.

Abstractive Summarizers

Abstractive summarizers are so-called because they do not select sentences from the originally given text passage to create the summary. Instead, they produce a paraphrasing of the main contents of the given text, using a vocabulary set different from the original document. This is very similar to what we as humans do, to summarize. We create a semantic representation of the document in our brains. We then pick words from our general vocabulary (the words we commonly use) that fit in the semantics, to create a short summary that represents all the points of the actual document. As you may notice, developing this kind of summarizer may be difficult as they would need the Natural Language Generation. Let’s look at the most used approach to the problem.

Application of sequence-to-sequence RNNs

The approach was proposed in a paper by Ramesh Nallapati, Bowen Zhou, Cicero dos Santos, Caglar Gulcehre, Bing Xiang from IBM. The term “sequence to sequence models” is used because the models are designed to create an output sequence of words from an input sequence of words. The input sequence in the considered case is the actual text document and the output sequence is the shortened summary.

The paper proposes a model inspired by an attentional Recurrent Neural Network encoder-decoder model which was first proposed for machine translation by Dzmitry Bahdanau, Jacob’s University, Germany.

Though, the problems are a lot different as you can already sense. Firstly for machine translation, we need the translation to be loss-less as we want the exact sentence in a translated form, but for Summary Generation, we need to compress the original document, to create the summary, so it needs to be a bit lossy. Secondly, for a summary generation, the length of the summary does not depend on the original text. These two points are the key challenges in the problem as given by the problem.

Before jumping into the application details of the paper let’s look at the encoder and decoder networks and the reason for using the attention layer.

Encoder and Decoder Networks

If we consider a general LSTM( Long term short memory) layer, it looks something like the diagram given below. It either produces an output for every input or it creates a feature vector, which is later used by dense neural network layers for classification tasks with the application of softmax layers. For example, sentiment detection, where we pass the whole sentence through RNN and use the feature vectors which are fit to softmax layers for producing the ultimate result.

But one thing to realize here is, for the current problem, or problems like this including machine translation, more generally speaking, where we can say the problem is a sequence to sequence problem, this particular model approach cannot be applied. The main reason is that the size of the output is independent of the size of the input and both are sequences. To deal with this problem the encoder-decoder network model was introduced.

The model basic architecture is described by the above diagram.

The encoder is responsible for taking in the input sentence or original document and generate a final state vector(hidden state and cell state). This is represented by the internal state in the diagram. The Encoder may contain LSTM layers, RNN, or GRU layers. Mostly LSTM layers are used due to the removed Exploding and vanishing gradient problem.

#abstractive-summarization #text-summarization #deep-learning #deep learning

Implementing Real-time Object Detection System using PyTorch and OpenCV

Hands-On Guide to implement real-time object detection system using python

The Self-Driving car might still be having difficulties understanding the difference between humans and garbage can, but that does not take anything away from the amazing progress state-of-the-art object detection models have made in the last decade.

Combine that with the image processing abilities of libraries like OpenCV, it is much easier today to build a real-time object detection system prototype in hours. In this guide, I will try to show you how to develop sub-systems that go into a simple object detection application and how to put all of that together.

Python vs C++

Reading The Video Stream

Load the Model

Scoring a Single Frame

…

#artificial-intelligence #python #programming #implementing real-time object detection system #implementing real-time object detection system using pytorch and opencv #pytorch