Natural Language Processing
In an earlier article, I explained how to use OpenAI from Wolfram Mathematica ver 14.1. This latest release of Wolfram supports Semantic Search as well. In today’s article, let me discuss this feature. As in the case of using LLMs, using Semantic Search requires an account with one of the supported vendors. I will continue […]
Homeopaths, after detailed case taking, usually ‘“repertorize” the case using software such as RadarOpus, MacRepertory, Vithoulkas Compass, etc., and finally consult a Materia Medica to confirm the remedy selection. There are some highly experienced homeopaths who have the gift of identifying the correct remedy without even repertorizing the case, but this is rare. In general, […]
We all know that ChatGPT has taken the world by storm. True, it is a major advance of Artificial Intelligence in the area of Natural Language Processing. Many may not know that WolframAlpha, launched in 2009, allowed natural language queries. As a long time user of Wolfram Mathematica, I was pleasantly surprised when the product […]
In a series of articles written earlier, I had shown how it is possible to model Definite Clause Grammars (DCG) in LispWorks Lisp (Enterprise Edition). We use defgrammar in Common Prolog (available as part of KnowledgeWorks package) to define our grammar rules. Here is a toy English grammar represented using defgrammar: This corresponds to the following Prolog […]
In the last article, I talked about determining sentence types automatically. Another interesting task is to generate the “negation” of a given sentence. Example-1: Sentence => “My teacher lives nearby” Negation => “My teacher does not live nearby” Example-2: Sentence => “She did not like that speech” Negation => “She liked that speech” I have […]
Sentences in English can be classified into the following common types: – Simple sentence (“I am drinking coffee”) – Compound sentence (“He came home with his school friend and they had an enjoyable evening”) – Complex sentence (“Whenever my dog barks, I give him some biscuit”) – Imperative sentence (“Please keep quiet”) – Interrogative sentence […]
WH-Questions are questions that begin with the following words: – Who (“Who came here yesterday?”) – What (“What is the goal of this project?”) – When (“When can I visit my parents?”) – Where (“Where did he go?”) – Why (“Why is everyone running away?”) – Which (“Which is the book you recommend?”) – How […]
iLexicon is an “intelligent” dictionary that can be used to build Natural Language applications. I have two implementations, one in Lisp and another in Prolog. Both implementations are memory-based, in order to speed up performance. I have written several articles referencing it, for example see this. LiteDB is a NoSQL database for .NET. I […]
In my previous article, I showed how “iLangGen” framework facilitates text generation using templates. I talked about the various “patterns” that can be used in a template. However, in that article, I did not go into the details of the “Embedded Template” pattern. That is the focus of today’s article. Embedded Template This pattern allows […]
I had written earlier about natural language generation using my iLangGen framework. I used a “template” text file which was instantiated dynamically based on predefined “grammars” and external data. The sample application I show-cased demonstrated its utility and versatility. Today I would like to touch upon a few other “pattern” elements that can be embedded in […]
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