Unite.AI

NOVEMBER 5, 2024

Launched in 2019, the Ascend 910 was recognized as the world's most powerful AI processor, delivering 256 teraflops (TFLOPS) of FP16 performance. The chip is designed for flexibility and scalability, enabling it to handle various AI workloads such as Natural Language Processing (NLP) , computer vision , and predictive analytics.

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IBM Journey to AI blog

AUGUST 13, 2024

An early hint of today’s natural language processing (NLP), Shoebox could calculate a series of numbers and mathematical commands spoken to it, creating a framework used by the smart speakers and automated customer service agents popular today.

Machine Learning 187

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Sebastian Ruder

JULY 31, 2020

Natural language processing (NLP) research predominantly focuses on developing methods that work well for English despite the many positive benefits of working on other languages. On the other hand, languages in the other groups have largely been neglected. 2019 ; Hu et al., 2019 ; Clark et al.,

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Sebastian Ruder

AUGUST 18, 2019

This post expands on the NAACL 2019 tutorial on Transfer Learning in NLP. In the span of little more than a year, transfer learning in the form of pretrained language models has become ubiquitous in NLP and has contributed to the state of the art on a wide range of tasks. 2019 ) of recent years. 2018 ; Akbik et al.,

NLP 75

NLP BERT Natural Language Processing Computational Linguistics 75

ODSC - Open Data Science

JUNE 9, 2023

2000–2015 The new millennium gave us low-rise jeans, trucker hats, and bigger advancements in language modeling, word embeddings, and Google Translate. The last 12 years though, is where some of the big magic has happened in NLP. GPT-2 (2019) This model was even larger than GPT-1, with 1.5

Natural Language Processing 52

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Probably Approximately a Scientific Blog

JANUARY 12, 2021

In NLP, dialogue systems generate highly generic responses such as “I don’t know” even for simple questions. Figure 1: adversarial examples in computer vision (left) and natural language processing tasks (right). Is commonsense knowledge already captured by pre-trained language models? Image credit: Lin et al.

Natural Language Processing 52

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NYU Center for Data Science

DECEMBER 1, 2023

The quest to refine AI’s understanding of extensive textual data has recently been advanced due to two recent papers by CDS PhD student Jason Phang , who is the first author of two recent NLP papers that secured “best paper” accolades at ICML 2023 and EMNLP 2023. PEGASUS-X is an extension of PEGASUS, an existing model introduced in 2019.

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Marktechpost

JULY 5, 2023

OpenAI’s GPT models have allowed major natural language processing (NLP) advancements. One machine learning model for NLP applications is the Generative Pre-trained Transformer (GPT). That makes them malleable for NLP applications such as question answering, translation, and text summarization.

Natural Language Processing 119

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Explosion

JULY 5, 2019

We were pleased to invite the spaCy community and other folks working on Natural Language Processing to Berlin this summer for a small and intimate event.

NLP 52

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Explosion

DECEMBER 28, 2019

As 2019 draws to a close and we step into the 2020s, we thought we’d take a look back at the year and all we’ve accomplished. Jan 15: The year started out with us as guests on the NLP Highlights podcast , hosted by Matt Gardner and Waleed Ammar of Allen AI. was released – our first major upgrade to Prodigy for 2019.

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NLP People

JANUARY 2, 2019

Hundreds of researchers, students, recruiters, and business professionals came to Brussels this November to learn about recent advances, and share their own findings, in computational linguistics and Natural Language Processing (NLP). BERT is a new milestone in NLP.

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BERT Natural Language Processing Computational Linguistics NLP 52

Heartbeat

JUNE 6, 2023

In recent years, researchers have also explored using GCNs for natural language processing (NLP) tasks, such as text classification , sentiment analysis , and entity recognition. This article provides a brief overview of GCNs for NLP tasks and how to implement them using PyTorch and Comet.

NLP 59

NLP Convolutional Neural Networks Neural Network Natural Language Processing 59

John Snow Labs

SEPTEMBER 11, 2023

This blog article delves into the exciting synergy between the T5 model and Spark NLP, an open-source library built on Apache Spark, which enables seamless integration of cutting-edge NLP capabilities into your projects. In the NLP world, Spark NLP is the top choice on enterprises that build NLP solutions.

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NLP Natural Language Processing Python Machine Learning 52

John Snow Labs

JUNE 15, 2023

Spark NLP offers a powerful Python library for scalable text analysis tasks, and its NGramGenerator annotator simplifies n-gram generation. Spark NLP’s integration with Apache Spark enables distributed computing, making it a valuable tool for modern data analysis needs. See examples in the image below. Unigrams, bigrams and trigrams.

NLP 52

NLP Data Scientist Natural Language Processing Python 52

Analytics Vidhya

APRIL 28, 2019

Introduction Have you ever been stuck at work while a pulsating cricket match was going on? You need to meet a deadline but you. The post Learn how to Build and Deploy a Chatbot in Minutes using Rasa (IPL Case Study!) appeared first on Analytics Vidhya.

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Chatbots Natural Language Processing Conversational AI AI Chatbots 302

Heartbeat

AUGUST 23, 2023

But what if there was a technique to quickly and accurately solve this language puzzle? Enter Natural Language Processing (NLP) and its transformational power. This is the promise of NLP: to transform the way we approach legal discovery. But exactly what is NLP , and how can it facilitate legal discovery?

NLP 52

NLP Natural Language Processing Algorithm Categorization 52

Sebastian Ruder

JANUARY 19, 2021

The selection of areas and methods is heavily influenced by my own interests; the selected topics are biased towards representation and transfer learning and towards natural language processing (NLP). 2019 ) and work that focuses on making them smaller has gained momentum: Recent approaches rely on pruning ( Sajjad et al.,

NLP 52

NLP ML Computer Vision Neural Network 52

NYU Center for Data Science

MARCH 15, 2023

The NYU AI School grew from a 3-day workshop that took place in October 2019, with the first week-long event launched in February 2021. The program is organized by students from NYU Data Science, Courant Institute, and other departments.

Machine Learning 80

Machine Learning Artificial Intelligence Artificial Intelligence Natural Language Processing 80

Sebastian Ruder

AUGUST 23, 2021

Over the last years, models in NLP have become much more powerful, driven by advances in transfer learning. Does this mean that we have solved natural language processing? This post aims to give an overview of challenges and opportunities in benchmarking in NLP, together with some general recommendations.

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Marek Rei

NOVEMBER 4, 2024

I have written short summaries of 68 different research papers published in the areas of Machine Learning and Natural Language Processing. However, performance is considerably lower on a benchmark that focuses on minimal edits and only fixing grammaticality (BEA-2019). Nature Communications 2024.

Machine Learning 80

Machine Learning NLP Large Language Models LLM 80

Sebastian Ruder

JULY 4, 2019

The first European NLP Summit (EurNLP) will take place in London on October 11. The Natural Language Processing community has seen unprecedented growth in recent years (see for instance the ACL 2019 Chairs blog ). The aim of EurNLP (pronounced “your NLP”) is to bring our community closer together.

Natural Language Processing 52

Natural Language Processing NLP AI AI 52

Marek Rei

JANUARY 9, 2019

It is time for another yearly update of the publication statistics in Machine Learning and Natural Language Processing. Most authors have a clear preference either towards the NLP or core-ML conferences, with Percy Liang perhaps being the exception that has an equal balance across both areas. Smith (Washington).

NLP 52

NLP ML Natural Language Processing Machine Learning 52

Towards AI

FEBRUARY 10, 2023

Building natural language processing and computer vision models that run on the computational infrastructures of Amazon Web Services or Microsoft’s Azure is energy-intensive. The Myth of Clean Tech: Cloud Data Centers The data center has been a critical component of improvements in computing.

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AI Modeling Natural Language Processing Computer Vision AI 98

Heartbeat

MARCH 15, 2023

But now, a computer can be taught to comprehend and process human language through Natural Language Processing (NLP), which was implemented, to make computers capable of understanding spoken and written language. The masked language modeling objective is referred to as this. What is RoBERTa?

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Unite.AI

OCTOBER 22, 2024

At Appen, we work at the intersection of AI and data, and my experience has allowed me to lead the company and navigate complexities in the rapidly evolving AI space, moving through major developments like voice recognition, NLP, recommendation systems, and now generative AI.

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Topbots

JUNE 22, 2023

SA is a very widespread Natural Language Processing (NLP). Hence, whether general domain ML models can be as capable as domain-specific models is still an open research question in NLP. Other articles in my line of research (NLP, RL) Lima Paiva, F. finance, entertainment, psychology). Felizardo, L.

Machine Learning 107

Machine Learning ChatGPT Natural Language Processing Categorization 107

Mlearning.ai

JUNE 28, 2023

I came up with an idea of a Natural Language Processing (NLP) AI program that can generate exam questions and choices about Named Entity Recognition (who, what, where, when, why). This is the link [8] to the article about this Zero-Shot Classification NLP. See the attachment below.

Machine Learning 52

Machine Learning NLP Auto-classification Natural Language Processing 52

Towards AI

JULY 19, 2023

The Ninth Wave (1850) Ivan Aivazovsky NATURAL LANGUAGE PROCESSING (NLP) WEEKLY NEWSLETTER NLP News Cypher | 09.13.20 Wild to see how much progress that’s been made in the field of NLP in the last couple of years. ? Aere Perrenius Welcome back. Hope you enjoyed your week! Data conversion and encoding.

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NLP Natural Language Processing Machine Learning ML 40

Mlearning.ai

FEBRUARY 19, 2023

You don’t need to have a PhD to understand the billion parameter language model GPT is a general-purpose natural language processing model that revolutionized the landscape of AI. GPT-3 is a autoregressive language model created by OpenAI, released in 2020 . What is GPT-3?

Auto-classification 52

Auto-classification Auto-complete Natural Language Processing NLP 52

Marek Rei

NOVEMBER 12, 2019

Below you will find short summaries of a number of different research papers published in the areas of Machine Learning and Natural Language Processing in the past couple of years (2017-2019). NAACL 2019. link] A bidirectional transformer architecture for pre-training language representations. ArXiv 2019.

Machine Learning 52

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Mlearning.ai

JUNE 14, 2023

Learning LLMs (Foundational Models) Base Knowledge / Concepts: What is AI, ML and NLP Introduction to ML and AI — MFML Part 1 — YouTube What is NLP (Natural Language Processing)? — YouTube YouTube Introduction to Natural Language Processing (NLP) NLP 2012 Dan Jurafsky and Chris Manning (1.1)

Neural Network 52

Neural Network BERT Large Language Models Natural Language Processing 52

Heartbeat

JANUARY 23, 2023

Image from Hugging Face Hub Introduction Most natural language processing models are built to address a particular problem, such as responding to inquiries regarding a specific area. This restricts the applicability of models for understanding human language. Alex Warstadt et al. print("1-",qqp["train"].homepage)

Natural Language Processing 52

Natural Language Processing NLP Deep Learning Machine Learning 52

Snorkel AI

MARCH 1, 2023

This process results in generalized models capable of a wide variety of tasks, such as image classification, natural language processing, and question-answering, with remarkable accuracy. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Devlin et al.

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Marktechpost

SEPTEMBER 2, 2024

Recent developments in machine learning, particularly in natural language processing (NLP), have significantly enhanced the capabilities of IR systems. One approach uses large language models (LLMs), which have shown promise in generating relevance judgments that align closely with human assessments.

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Large Language Models Deep Learning Natural Language Processing Machine Learning 72

AWS Machine Learning Blog

MARCH 31, 2023

Also, the introduction of federal REAL ID requirements in 2019 resulted in increased call volumes from drivers with questions. Call volumes increased further in 2020 when the COVID-19 pandemic struck and driver licensing regional offices closed.

Automation 102

Automation Natural Language Processing Conversational AI NLP 102

Artificial Corner

AUGUST 3, 2023

The platform can be trained on 3 models which are machine learning, deep learning, and natural language processing (NLP). To improve the prediction, the company used deep learning architecture from 2019 onwards. It is a machine learning and NLP-based system. Why Michelangelo is Required in Uber?

ML 82

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AWS Machine Learning Blog

MARCH 14, 2024

Amazon Kendra uses natural language processing (NLP) to understand user queries and find the most relevant documents. This occurred in 2019 during the first round on hole number 15. To enable quick information retrieval, we use Amazon Kendra as the index for these documents.

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