AWS Machine Learning Blog

SEPTEMBER 9, 2024

As LLMs have grown larger, their performance on a wide range of natural language processing tasks has also improved significantly, but the increased size of LLMs has led to significant computational and resource challenges. degree in Computer Science in 2011 from the University of Lille 1. He holds a M.E.

Deep Learning 106

Deep Learning ML Machine Learning Natural Language Processing 106

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. Most of the world's languages are spoken in Asia, Africa, the Pacific region and the Americas.

NLP 78

NLP Natural Language Processing Machine Learning ML 78

Unite.AI

NOVEMBER 10, 2024

It uses natural language processing (NLP) algorithms to understand the context of conversations, meaning it's not just picking up random mentions! Brand24 was founded in 2011 and is based in Wrocław, Poland. They've managed to snag some pretty impressive clients like Intel, H&M, and IKEA!

Categorization 147

Categorization AI Tools Natural Language Processing Automation 147

NVIDIA

NOVEMBER 15, 2023

That’s when researchers in information retrieval prototyped what they called question-answering systems, apps that use natural language processing ( NLP ) to access text, initially in narrow topics such as baseball. IBM’s Watson became a TV celebrity in 2011 when it handily beat two human champions on the Jeopardy!

Generative AI 130

Generative AI LLM Neural Network AI Modeling 130

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. The 49th Annual Meeting of the Association for Computational Linguistics (ACL 2011). abs/2005.03993 Andrew L.

Neural Network 52

Neural Network Computational Linguistics NLP Natural Language Processing 52

Topbots

JUNE 22, 2023

SA is a very widespread Natural Language Processing (NLP). Journal of Finance (2011), 66(1):35–65. Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, pages 595–605. I am a researcher, and its ability to do sentiment analysis (SA) interests me. Hamilton, W.

Machine Learning 107

Machine Learning ChatGPT Natural Language Processing Categorization 107

AWS Machine Learning Blog

DECEMBER 14, 2023

Established in 2011, Talent.com aggregates paid job listings from their clients and public job listings, and has created a unified, easily searchable platform. Our pipeline belongs to the general ETL (extract, transform, and load) process family that combines data from multiple sources into a large, central repository.

ETL 105

ETL Data Scientist Machine Learning Deep Learning 105

AWS Machine Learning Blog

OCTOBER 23, 2023

Founded in 2011, Talent.com is one of the world’s largest sources of employment. With over 30 million jobs listed in more than 75 countries, Talent.com serves jobs across many languages, industries, and distribution channels.

NLP 113

NLP Deep Learning Machine Learning Natural Language Processing 113

Lexalytics

APRIL 5, 2021

This is the sort of representation that is useful for natural language processing. However, a similar thing holds true for the word-topic matrix: if two words have similar meanings, their topic vectors will be similar. Bengio, and P. Haffner (1998) “ Gradient-based learning applied to document recognition ” S.

Neural Network 52

Neural Network Convolutional Neural Networks Natural Language Processing BERT 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. Around 400 languages have more than 1M speakers and around 1,200 languages have more than 100k [1].

Natural Language Processing 52

Natural Language Processing NLP Computational Linguistics BERT 52

AWS Machine Learning Blog

MAY 2, 2023

There are a few limitations of using off-the-shelf pre-trained LLMs: They’re usually trained offline, making the model agnostic to the latest information (for example, a chatbot trained from 2011–2018 has no information about COVID-19). They’re mostly trained on general domain corpora, making them less effective on domain-specific tasks.

LLM 88

LLM Algorithm Machine Learning Natural Language Processing 88

Kavita Ganesan

MAY 24, 2022

And then he picked up again, I think, around 2011, when big data became a thing, then we had lots of faster computation power, and then it just accelerated from that. I took one natural language processing class and the professor. So it’s only around 2013, 2011, where AI became a thing in the industry.

AI 52

AI AI Neural Network Natural Language Processing 52

Explosion

FEBRUARY 12, 2017

The Quora dataset is an example of an important type of Natural Language Processing problem: text-pair classification. People have been using context windows as features since at least Collobert and Weston (2011) , and likely much before. In updated experiments the Maxout Window Encoding helps as expected.

Neural Network 40

Neural Network Deep Learning Natural Language Processing NLP 40

Sebastian Ruder

OCTOBER 26, 2019

Cross-lingual learning in the transfer learning taxonomy ( Ruder, 2019 ) Methods from domain adaptation have also been applied to cross-lingual transfer ( Prettenhofer & Stein, 2011 , Wan et al., For a clearer distinction between domain adaptation and cross-lingual learning, have a look at this section.

BERT 52

BERT NLP Neural Network Natural Language Processing 52

Artificial Corner

JUNE 6, 2023

Natural Language Processing (NLP) techniques can be applied to analyze and understand unstructured text data. The integration of AI and ML into data engineering pipelines enables a wide range of applications. For example, predictive analytics models can be trained on historical data to make accurate forecasts. Follow Now ?

Data Mining 52

Data Mining Big Data ETL Machine Learning 52

Probably Approximately a Scientific Blog

AUGUST 28, 2016

In ACL 2011. The rise of crowdsourcing. Wired magazine 14.6 Zaidan and Chris Callison-Burch Crowdsourcing translation: professional quality from non-professionals.

NLP 52

NLP Explainability Natural Language Processing 52

Sebastian Ruder

DECEMBER 6, 2021

2011 ), many referents have no language-specific terms in some languages, e.g. bowling ball, hamburger, lottery ( Ponti et al., In the tutorial, we focus on two main categories of question answering studied in the literature: open-retrieval question answering (ORQA) and reading comprehension (RC). In COPA ( Roemmele et al.,

BERT 52

BERT NLP Natural Language Processing Computational Linguistics 52

Explosion

MARCH 17, 2019

of the spaCy Natural Language Processing library includes a huge number of features, improvements and bug fixes. spaCy is an open-source library for industrial-strength natural language processing in Python. Version 2.1 Prodigy is a fully scriptable annotation tool that complements spaCy extremely well.

NLP 52

NLP Python Neural Network Natural Language Processing 52

Explosion

DECEMBER 17, 2013

Natural languages introduce many unexpected ambiguities, which our world-knowledge immediately filters out. ACL 2011 The dynamic oracle training method was first described here: A Dynamic Oracle for Arc-Eager Dependency Parsing. Syntactic Processing Using the Generalized Perceptron and Beam Search.

Python 45

Python Algorithm NLP Computational Linguistics 45

Flipboard

APRIL 8, 2023

This split has steadily grown since 2011, when the percentages were nearly equal. researchers surveyed natural language processing researchers, as evidenced by publications, to get a handle on what AI experts think about AI research, HAI reported. Industry, not academia, is drawing new AI Ph.D.’s percent of all AI Ph.D.’s

Large Language Models 182

Large Language Models Machine Learning AI AI 182

AWS Machine Learning Blog

JULY 20, 2023

They have been proven to be efficient in diverse applications and learning settings such as cybersecurity [1] and fraud detection, remote sensing, predicting best next steps in financial decision-making, medical diagnosis, and even computer vision and natural language processing (NLP) tasks. References [1] Raj Kumar, P.

ML 91

ML Python Machine Learning Natural Language Processing 91

AWS Machine Learning Blog

NOVEMBER 11, 2024

text generation model on domain-specific datasets, enabling it to generate relevant text and tackle various natural language processing (NLP) tasks within a particular domain using few-shot prompting. This fine-tuning process involves providing the model with a dataset specific to the target domain.

Generative AI 111

Generative AI AI AI ML 111

ML Review

MAY 3, 2018

Recent Intersections Between Computer Vision and Natural Language Processing (Part One) This is the first instalment of our latest publication series looking at some of the intersections between Computer Vision (CV) and Natural Language Processing (NLP). Thanks for reading! Online] arXiv: 1710.01288.

Neural Network 52

Neural Network Computer Vision Deep Learning Convolutional Neural Networks 52

Probably Approximately a Scientific Blog

NOVEMBER 12, 2016

Originally, it was trained to answer natural logic questions -- or more precisely, to form the correct question to a given answer, as in the television game show Jeopardy. On February 2011, Watson competed in Jeopardy against former winners of the show, and won!

NLP 52

NLP Natural Language Processing 52