If you had to describe what NLP is about, what would you point out as the most important thing? Is there something that is vital for many use cases and is employed in almost every NLP application? For example, what do you almost certainly need when it comes to a task of information extraction of any kind? Right. Linguistic features,...
Tag: AI
Intelligent Text Generation with spaCy Part1
The most challenging tasks in natural language processing are natural language understanding and natural language generation. This article focuses on the latter, giving an example of how you might teach your conversational application to respond properly to its users. Of course, you will not find here a universal solution that covers all possible cases and can be implemented with just...
Using Linguistic Features in NLP
If you had to describe what NLP is about, what would you point out as the most important thing? Is there something that is vital for many use cases and is employed in almost every NLP application? For example, what do you almost certainly need when it comes to a task of information extraction of any kind? Right. Linguistic features,...
Quick Start with spaCy
Natural language processing (NLP) is one of the most interesting, yet challenging fields of artificial intelligence (AI). spaCy is the leading Python library for NLP, gaining popularity rapidly. Let’s take a closer look at spaCy, trying to figure out how it can be useful for accomplishing NLP tasks. What Is spaCy? spaCy is an open-source Python library for performing NLP...
What Computational Linguistic Is About
To this point, humanity has a huge amount of data that can be used to automate many repeatable tasks, thus allowing us, humans to switch to more interesting work. One approach to take advantage of large amounts of data – which has become very popular recently – is based on using machine learning algorithms. This is when a machine is...
Parsing Intents and Their Targets into SQL Queries with spaCy: Part 2
In the previous article of this series, you learned that spaCy allows you to train its parser to be specific to your domain, which can be useful if you, for example, are developing a conversational application. In the example given in the article, you were guided through the steps of preparing training examples for the parser and then training the...
Parsing Intents and Their Targets into SQL Queries with spaCy: Part 1
People use natural languages to communicate with each other. To efficiently interact with a machine, good knowledge of programming languages is required. Natural Language Processing (NLP) is here to enable human-machine communications through natural languages. This is however, a very general notion of what NLP is. Intuitively, it may seem that an NLP-enabled application understands human speech natively, like a...
Converting Raw Text into SQL Data with spaCy
As the title suggests, this article covers how raw text can be converted into structured data. Before going any further, a word on the terminology used here is needed. In simple terms, raw text can be thought of as a set of tokens grouped into sentences, carrying information expressed in a natural language such as English. Put simply, raw text...
GDPR: Don’t forget the AI
We’ve been working down through different systems and infrastructure and working on the different components to GDPR and having systems support what’s needed there. While it’s comprehensive in its stated goals (GDPR), it’s also quite broad and loose in defining how to get there from here. This has led to some interesting meetings and review sessions while people work to […]
We’re Just Getting Started with AI…
Remember, we’re dipping our toes in the proverbial pool at this point with AI. There are incredible things going on, and things we’re learning can be applied and learned from yet again. What strikes me is that we expect all of this to be perfect at such a “young” time in the technologies. Yesterday, the editorial was about AI and […]