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simplilearn.com /2 weeks ago

Natural Language Processing Techniques: A Beginner’s Guide | Simplilearn

TL;DR: NLP helps computers understand, read, analyze, and generate human language. Common NLP techniques include tokenization, stemming, lemmatization, POS tagging, named entity re...

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bioengineer.org /1 week ago

NLP Outperforms ICD-10 in Capturing Clinical Data

In a groundbreaking development poised to transform clinical data interpretation, recent research has demonstrated that Natural Language Processing (NLP) tools vastly outperform th...

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artificialintelligence-news.com /2 weeks ago

Advances in Natural Language Processing Are Changing Professional Networking

Natural language processing is reshaping professional communication on online platforms, enabling more relevant and personalised networking interactions. As AI-driven systems incre...

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medinform.jmir.org /5 days ago

Natural Language Processing Applied to Psychiatric Clinical Notes: Scoping Review

Background: Psychiatric clinical notes in electronic health records (EHRs) provide rich longitudinal information that can support clinical decision-making. Using historical medical...

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neurosciencenews.com /1 week ago

17 New Language Processing Regions in the Brain

A new study uses fMRI data from over 700 people to identify 17 new language-processing regions outside the brain's core canonical network.

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medium.com /1 month ago

Text Preprocessing in NLP

One of the most important steps in building language models is raw text data preprocessing.Continue reading on Medium »

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kdnuggets.com /3 weeks ago

3 NLTK Tricks for Advanced Text Preprocessing & Linguistic Analysis

In this article, we will walk through three essential NLTK tricks to elevate your text preprocessing: preserving phrase integrity with the MWETokenizer, context-aware lemmatization...

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kdnuggets.com /3 weeks ago

3 NLTK Tricks for Advanced Text Preprocessing & Linguistic Analysis

In this article, we will walk through three essential NLTK tricks to elevate your text preprocessing: preserving phrase integrity with the MWETokenizer, context-aware lemmatization...

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neurosciencenews.com /1 month ago

AI Proves Language Evolves for Learnability

A new study using AI proves that language actively evolves over generations to become structured because it makes learning easier.

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neurosciencenews.com /3 weeks ago

Human Brains and AI Share Predictive Language Processing Principles

The human brain and Large Language Models (LLMs) organize and predict language using deeply parallel information processing principles.

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kdnuggets.com /1 month ago

Practical NLP in the Browser with Transformers.js

This tutorial covers three NLP tasks: text classification, zero-shot labelling, and question answering using Transformers.js's pipeline() API.

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neis-one.org /2 weeks ago

Checking OpenStreetMap Notes for Potentially Problematic Language

Over the past few months, I have been experimenting with various open-source language models. I often use Ollama for this, as it is easy to install and can be integrated well into...

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marktechpost.com /1 month ago

Building a Semantic Search Engine and Open-Status Classifier over the ResearchMath-14k Dataset

This tutorial walks through a complete NLP pipeline for research-level mathematics. Using the ResearchMath-14k dataset, we extract field-specific keywords with TF-IDF, generate sen...

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theguardian.com /1 week ago

How AI is changing language

As allegations of LLM use rock the literary and media worlds, linguists explain what really distinguishes human and machine language, while novelists including Jennifer Egan and Je...

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kdnuggets.com /1 month ago

5 Cool Things I Did with Local Language Models

I have been running local models as part of my daily workflow for some time, and what surprised me most is how often local turned out to be the better choice, not a compromise.

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kdnuggets.com /1 month ago

5 Cool Things I Did with Local Language Models

I have been running local models as part of my daily workflow for some time, and what surprised me most is how often local turned out to be the better choice, not a compromise.

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towardsdatascience.com /4 weeks ago

What the Question Parser Extracts from a User String: Keywords, Scope, Shape, Decomposition, Clarification

Enterprise Document Intelligence [Vol.1 #6b] - The five field families the parser reads straight from the user’s question, with the code that fills each one The post What the Quest...

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dzone.com /1 month ago

LLM-Powered Deep Parsing for Industrial Inventory Search

Industrial ERPs often look structured on the surface: item IDs, purchase orders, stock levels. But in many companies, they are overloaded with unintentional duplicates because the...

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recruiterflow.com /1 month ago

What True Natural Language Search Looks Like

Everyone is shipping “AI search” right now. Type a sentence and get candidates back but here’s the thing: Most Natural Language Search (NLS) out there is just Boolean hiding behind...

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nyudatascience.medium.com /1 month ago

Can AI Learn a Language from a Textbook?

Most of the world’s 7,000 languages will never have enough written text online to train an AI translation system. However, linguists have…Continue reading on Medium »

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medium.com /1 month ago

The Long-Tail Speech Problem: How Modern ASR Fails on Rare Words, Accents, and Jargon, and Why…

If you measure ASR on LibriSpeech-clean, the field is essentially solved.Continue reading on Medium »

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medium.com /1 month ago

Text Classification at Scale: Why It’s Harder Than It Looks, and How to Think About It

From “just use an LLM” to building systems that stay reliable across thousands of categoriesContinue reading on Medium »

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machinelearningmastery.com /3 weeks ago

Clustering Unstructured Text with LLM Embeddings and HDBSCAN

The current era of Generative AI seems to primarily focus on chat interfaces and prompts, but the range of applications of large language models , or LLMs for short, is not limited...

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elearningindustry.com /1 month ago

From "Where's The Report?" To "Here's The Answer": How AI Is Finally Speaking L&D's Language

NLQ, NLU, and NLG explained for L&D professionals—what each technology actually does, and how together they replace static reports with real-time answers that business leaders...

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