Natural Language Processing

Website Chatbot Benefits For Your Business www.revechat.com | Yesterday

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We all know how websites have significant role in the growth and success of business. They not only help brands engage and convert visitors but also serve variety of purposes across marketing, sales 38 support. For that reason, growing number of b...

Keywords: design, machine learning, smart bot

What Is Named Entity Recognition (NER): Benefits, Use Cases, Algorithms www.expressanalytics.com | Today

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Named Entity Recognition NER is field of computer science and natural language processing that deals with the identification and classification of named entities in text. The aim is to automatically extract information from unstructured text such a...

Keywords: machine learning, natural language processing

Text Summarization using Transformers iq.opengenus.org | Yesterday

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In this article, we will learn about the fundamentals of Text Summarization, some of the different ways in which we can summarize text, Transformers, the BART model, and finally, we will practically implement some of these concepts....

Keywords: transformer, pre-trained, summarization, natural language

Blending the power of AI with the delicacy of poetry towardsdatascience.com | Yesterday

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AI models are now able to generate images from text, what if we furnish them with the words of great poets dreamy trip between poetry andAI.image created by the author with DALL E. inspired by wish you were here by PinkFloydIntroductionPoet is not...

Keywords: machine learning, python, coding, dall-e

Everything you need to know about Few-Shot Learning blog.paperspace.com | Yesterday

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In this tutorial, we examine the Few Shot Learning paradigm for deep and machine learning tasks. Readers can expect to learn what it is, different techniques, and details about use cases for Few Shot Learning...

Keywords: imagenet, machine learning, tpu, mobile

IBM Launches Innovation Centre Growing Albertas Global Tech Sector aithority.com | Yesterday

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Albertas tech sector continues to grow as IBM Canada launches new Client Innovation Centre CIC in Alberta to support the innovative needs of its global business, with plans to create 250 tech jobs over five years. Latest AithorityInsights Why Conte...

Keywords: quantum comp, ml , blockchain

LaMDA,l'IA de Google qui dialogue comme un humain www.journaldunet.com | Today

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Aprs avoir affirm qu elle tait doue de sensibilit, un ingnieur du groupe de Mountain View mis la porte. Le point sur cette technologie de deep learning....

Keywords: primer, nlp, chatbot, transformer, bert

Is DALL-E 2 the death of photography? mixed-news.com | Yesterday

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OpenAI s DALL E can also edit images and could possibly compete with Photoshop if it doesn t directly replace photography.The post Is DALL E 8220 the death of photography 8221 appeared first on MIXED....

Keywords: ai , dall-e, openai, photoshop

The Topological BERT: Transforming Attention into Topology for Natural Language Processing arxiv.org | Yesterday

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In recent years, the introduction of the Transformer models sparked a revolution in natural language processing (NLP). BERT was one of the first text encoders using only the attention mechanism without any recurrent parts to achieve state-of-the-art results on many NLP tasks. This paper introduces a text classifier using topological data analysis. We use BERT's attention maps transformed into attention graphs as the only input to that classifier. The model can solve tasks such as distinguishin...

Keywords: natural language processing, transformer, nlp,

Guest post: How to Select Better ConvNet Architectures for Image Classification Tasks* thesequence.substack.com | Today

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There s no go to formula for any ML project. huge part of improving machine learning systems is experimenting until you find solution that works well for your use case. However, an overwhelming amount of tools and model architectures are available fo...

Keywords: resnet, network, ml , classification

Identifying Disfluencies in Natural Speech ai.googleblog.com | Yesterday

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Posted by Dan Walker and Dan Liebling, Software Engineers, Google Research People dont write in the same way that they speak. Written language is controlled and deliberate, whereas transcripts of spontaneous speech like interviews are hard to read ...

Keywords: ios, classification, pre-trained, coding, mobile

Deducing the number of human beings performing an action using NLP stackoverflow.com | Yesterday

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Given text description of certain amount of people carrying out an action, say quot My dad and are driving down the highway quot Can any NLP model return the number quot 2 quot because there are two humans performing the said activity Some more ex...

Keywords: transformer, few-shot, nlp, openai, gpt

A Detection System for Pure Image Synthesis Frameworks Like DALL-E 2 www.unite.ai | Yesterday

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New research from the University of California at Berkeley offers method to determine whether output from the new generation of image synthesis frameworks such as Open AI 8217 s DALL E 2, and Google 8217 s Imagen and Parti can be detected as 8216...

Keywords: tpu, algorithms, framework, visual, analysis

The NLP Sandbox: an efficient model-to-data system to enable federated and unbiased evaluation of clinica... arxiv.org | Yesterday

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Objective The evaluation of natural language processing (NLP) models for clinical text de-identification relies on the availability of clinical notes, which is often restricted due to privacy concerns. The NLP Sandbox is an approach for alleviating the lack of data and evaluation frameworks for NLP models by adopting a federated, model-to-data approach. This enables unbiased federated model evaluation without the need for sharing sensitive data from multiple institutions. Materials and Methods W...

Keywords: framework, natural language processing, nlp