Tag: NLP
Extracting meaningful information from unstructured, human readable text is a hot topic of research today and has important applications in many domains. I have written a few blogs related to this topic, for example, see this and this. In today’s article, I would like to show how Mathematica can be a great help when working with […]
In the earlier two articles, we looked at Sentence Parsing and Chunking as supported in OpenNLP. In today’s article, let us explore Named Entity Recognition, also known as NER. NER is a technique to identify special categories of noun phrases such as people, places, companies, money, etc., present in the given text. This is widely used as […]
In the last post, I outlined an approach to convert a dependency graph (the result of dependency parsing) to RDF. The particular RDF format I used is Turtle, which is widely supported. Today, I would like to show how to load this RDF data in a Semantic Graph database and make queries on it. There […]
Dependency parsing is widely used these days, and many NLP tools give a dependency graph as the parsed representation of the input text. See for example, SpacY and TextRazor. The following is the dependency tree corresponding to the sentence Mary is drinking cold water: The above tree was generated using SpacY. You can see that […]
If you are into writing poems, stories or essays, or you just have a fascination for words, I encourage you to take a look at Datamuse. Recently I was studying about the structure of various poetic forms, and in the process of browing different sites, I stumbled upon Datamuse. I found it to be pretty […]
In today’s post, let us see how we can enhance the grammar representation discussed so far to include both Number constraint and Parse Tree. Fortunately, this turns out to be quite straightforward. Just as we do in Prolog, we need to include additional parameters, as needed, to each grammar rule. In the earlier two posts, […]
Welcome back. Today I am going to share with you some of the nice capabilities of Mathematica in the area of Natural Language Processing (NLP). Let us start with words. What if we wish to know the various definitions of the word image? Here is the answer. Mathematica gives the various senses of the word and the […]
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