NLP People

APRIL 10, 2019

Natural Language Processing has seen some major breakthroughs in the past years; with the rise of Artificial Intelligence, the attempt at teaching machines to master human language is becoming an increasingly popular field in academia and industry all over the world.

NLP 52

NLP Computational Linguistics Natural Language Processing Data Mining 52

AssemblyAI

SEPTEMBER 18, 2023

However, among all the modern-day AI innovations, one breakthrough has the potential to make the most impact: large language models (LLMs). These feats of computational linguistics have redefined our understanding of machine-human interactions and paved the way for brand-new digital solutions and communications.

Large Language Models 130

Large Language Models BERT Auto-complete LLM 130

ODSC - Open Data Science

APRIL 3, 2023

Question Answering is the task in Natural Language Processing that involves answering questions posed in natural language. She is currently the president of the Association of Computational Linguistics. Don’t worry, you’re not alone! Haritz Puerto is a Ph.D.

Neural Network 117

Neural Network Natural Language Processing NLP Computational Linguistics 117

NLP People

MAY 18, 2018

Their projects focus on the development of comprehensive models of language use uniting cognitive, computational, and social perspectives. IDeal’s research contributes to various areas of natural language processing and AI, including machine translation, text generation, speech synthesis and multimodal interfaces.

NLP 52

NLP Computational Linguistics Data Mining Natural Language Processing 52

Bugra Akyildiz

JULY 16, 2023

Google created a new learning path guides you through a curated collection of content on generative AI products and technologies, from the fundamentals of Large Language Models to how to create and deploy generative AI solutions on Google Cloud.

LLM 52

LLM Chatbots Neural Network Large Language Models 52

Heartbeat

FEBRUARY 21, 2023

Picture by Anna Nekrashevich , Pexels.com Introduction Sentiment analysis is a natural language processing technique which identifies and extracts subjective information from source materials using computational linguistics and text analysis. Spark NLP is a natural language processing library built on Apache Spark.

Natural Language Processing 52

Natural Language Processing NLP Computational Linguistics Machine Learning 52

NLP People

JUNE 5, 2018

Babbel Based in Berlin and New York, Babbel is a language learning platform, helping one learn a new language on the go. spaCy spaCy is an open-source software library for advanced industrial-strength NLP, created by Explosion AI, a digital studio specialising in Artificial Intelligence and Natural Language Processing.

NLP 52

NLP Data Mining Deep Learning Natural Language Processing 52

Topbots

JANUARY 30, 2023

In the past, the Deep Learning community solved the data shortage with self-supervision — pre-training LLMs using next-token prediction, a learning signal that is available “for free” since it is inherent to any text. Association for Computational Linguistics. [2] Association for Computational Linguistics. [4]

Large Language Models 52

Large Language Models Computational Linguistics LLM Natural Language Processing 52

The MLOps Blog

JANUARY 25, 2023

Sentiment analysis, commonly referred to as opinion mining/sentiment classification, is the technique of identifying and extracting subjective information from source materials using computational linguistics , text analysis , and natural language processing.

BERT 52

BERT Natural Language Processing ML Deep Learning 52

Sebastian Ruder

NOVEMBER 14, 2022

Developing models that work for more languages is important in order to offset the existing language divide and to ensure that speakers of non-English languages are not left behind, among many other reasons. This post is partially based on a keynote I gave at the Deep Learning Indaba 2022. 2340–2354).

Natural Language Processing 52

Natural Language Processing NLP Computational Linguistics BERT 52

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). 3-Is Automatic Post-Editing (APE) a Thing?

BERT 52

BERT Natural Language Processing Computational Linguistics NLP 52

AWS Machine Learning Blog

MARCH 2, 2023

Hyperparameter optimization is highly computationally demanding for deep learning models. Conclusion In this post, we showed how to use an EKS cluster with Weights & Biases to accelerate hyperparameter grid search for deep learning models. She has a technical background in AI and Natural Language Processing.

BERT 88

BERT Deep Learning Metadata Auto-complete 88

John Snow Labs

DECEMBER 26, 2023

Sentiment analysis, a branch of natural language processing (NLP), has evolved as an effective method for determining the underlying attitudes, emotions, and views represented in textual information. Learning Word Vectors for Sentiment Analysis. Daly, Peter T. Pham, Dan Huang, Andrew Y. Ng, and Christopher Potts.

Neural Network 52

Neural Network Computational Linguistics NLP Natural Language Processing 52

Applied Data Science

DECEMBER 23, 2022

In our review of 2019 we talked a lot about reinforcement learning and Generative Adversarial Networks (GANs), in 2020 we focused on Natural Language Processing (NLP) and algorithmic bias, in 202 1 Transformers stole the spotlight. As humans we do not know exactly how we learn language: it just happens.

Neural Network 52

Neural Network AI AI Data Science 52

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. Computational Linguistics 2022. link] Developing a system for the detection of cognitive impairment based on linguistic features. University of Szeged. ArXiv 2022.

Machine Learning 80

Machine Learning NLP Large Language Models LLM 80

Ines Montani

MAY 9, 2017

In this post I’ll share some lessons we’ve learned from running spaCy , the popular and fast-growing library for Natural Language Processing in Python. Challenges for open-source NLP One of the biggest challenges for Natural Language Processing is dealing with fast-moving and unpredictable technologies.

NLP 52

NLP Natural Language Processing Computational Linguistics Deep Learning 52

Sebastian Ruder

JANUARY 24, 2022

2021) 2021 saw many exciting advances in machine learning (ML) and natural language processing (NLP). Transactions of the Association for Computational Linguistics, 9, 978–994. Transactions of the Association for Computational Linguistics, 9, 570–585. Schneider, R., Alayrac, J.

NLP 52

NLP ML BERT Computational Linguistics 52

Mlearning.ai

FEBRUARY 6, 2023

2019 Annual Conference of the North American Chapter of the Association for Computational Linguistics. [7] The 2019 Conference on Empirical Methods in Natural Language Processing. [8] 57th Annual Meeting of the Association for Computational Linguistics [9] C. Attention is not Explanation. Serrano, N.

Explainable AI 52

Explainable AI Explainability ChatGPT Chatbots 52

ODSC - Open Data Science

MARCH 6, 2024

For instance, two major Machine Learning tasks are Classification, where the goal is to predict a label, and Regression, where the goal is to predict continuous values. REGISTER NOW Building upon the exponential advancements in Deep Learning, Generative AI has attained mastery in Natural Language Processing.

Responsible AI 52

Responsible AI Generative AI Natural Language Processing Artificial Intelligence 52

NLP People

JULY 24, 2019

The 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019) is starting this week in Florence, Italy. NLP, a major buzzword in today’s tech discussion, deals with how computers can understand and generate language. Neural Networks are the workhorse of Deep Learning (cf.

NLP 52

NLP Neural Network Deep Learning Natural Language Processing 52

AWS Machine Learning Blog

AUGUST 8, 2024

By integrating LLMs, the WxAI team enables advanced capabilities such as intelligent virtual assistants, natural language processing (NLP), and sentiment analysis, allowing Webex Contact Center to provide more personalized and efficient customer support.

Generative AI 125

Generative AI LLM AI AI 125