Towards AI

JULY 8, 2024

Bigram Models Simplified Image generated by ChatGPT Introduction to Text Generation In Natural Language Processing, text generation creates text that can resemble human writing, ranging from simple tasks like auto-completing sentences to complex ones like writing articles or stories.

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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. University of St. Gallen The University of St.

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NLP People

MAY 18, 2018

DFKI LT lab conducts advanced research in language technology and develops novel solutions related to information and knowledge management, content production, speech and text processing. Key areas of their activity include text analytics, machine translation, human-robot interaction , and digital content creation.

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Marktechpost

JULY 15, 2023

These models, which are trained on extensive amounts of data, can learn in context, even with minimal examples. This year, a paper presented at the Association for Computational Linguistics (ACL) meeting delves into the importance of model scale for in-context learning and examines the interpretability of LLM architectures.

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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.

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NLP People

JUNE 5, 2018

The fourth article of the series covers German industry; see our previous articles about Ireland, France and German research & education CORPORATE Amazon Amazon develops speech and language solutions behind Amazon Echo and other Amazon products and services. Open job positions can be looked up here. They are hiring.

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Topbots

JUNE 15, 2023

Language Disparity in Natural Language Processing This digital divide in natural language processing (NLP) is an active area of research. 70% of research papers published in a computational linguistics conference only evaluated English.[ Association for Computational Linguistics.

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AWS Machine Learning Blog

MAY 22, 2023

Amazon EBS is well suited to both database-style applications that rely on random reads and writes, and to throughput-intensive applications that perform long, continuous reads and writes. """, """ Amazon Comprehend uses natural language processing (NLP) to extract insights about the content of documents.

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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.

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Bugra Akyildiz

JULY 16, 2023

However, existing methods are difficult to reproduce or build on, due to private code, data, and large compute requirements. This has created substantial barriers to research on machine learning methods for theorem proving.

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NLP People

SEPTEMBER 12, 2017

This job brought me in close contact with a large number of IT researchers, and some of them happened to work in computational linguistics and machine learning. This was when I realized I might try to pursue this path too, as it would allow me to combine my passion for languages and interest in technologies.

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AWS Machine Learning Blog

MARCH 2, 2023

Thomas Chapelle is a Machine Learning Engineer at Weights and Biases. He also builds content on MLOPS, applications of W&B to industries, and fun deep learning in general. Ana has had several leadership roles at startups and large corporations such as Intel and eBay, leading ML inference and linguistics related products.

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Viso.ai

JULY 18, 2024

An easy way to describe LLM is an AI algorithm capable of understanding and generating human language. Machine learning especially Deep Learning is the backbone of every LLM. It makes LLM capable of interpreting language input based on the patterns and complexity of characters and words in natural language.

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Topbots

JANUARY 30, 2023

In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics , pages 5185–5198, Online. Association for Computational Linguistics. [2] Injecting Domain Knowledge in Language Models for Task-Oriented Dialogue Systems. SKILL: Structured Knowledge Infusion for Large Language Models.

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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. In Findings of the Association for Computational Linguistics: ACL 2022 (pp. 2340–2354). Winata, G.

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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.

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Explosion

DECEMBER 28, 2019

Jan 28: Ines then joined the great lineup of Applied Machine Learning Days in Lausanne, Switzerland. Sofie has been involved with machine learning and NLP as an engineer for 12 years. Adriane is a computational linguist who has been engaged in research since 2005, completing her PhD in 2012.

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Snorkel AI

JUNE 14, 2023

Let’s double-click into correctness to describe our approach on how technology, and specifically machine learning and natural language processing, can come together in a very user-centric way to solve real problems that our users face every single day. We take that writing and pre-process that.

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Snorkel AI

JUNE 14, 2023

Let’s double-click into correctness to describe our approach on how technology, and specifically machine learning and natural language processing, can come together in a very user-centric way to solve real problems that our users face every single day. We take that writing and pre-process that.

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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.

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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.

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Sebastian Ruder

FEBRUARY 23, 2023

Fuelled by scaling laws, state-of-the-art models in machine learning have been growing larger and larger. Due to their size, fine-tuning has become expensive while alternatives, such as in-context learning are often brittle in practice. Machine translation. For more resources, check out modulardeeplearning.com.

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Sebastian Ruder

JANUARY 24, 2022

2021) 2021 saw many exciting advances in machine learning (ML) and natural language processing (NLP).   Benchmarking and evaluation are the linchpins of scientific progress in machine learning and NLP. Transactions of the Association for Computational Linguistics, 9, 978–994.

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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. In this way, they learn what matters about the data.

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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. Nature Machine Intelligence. [10]

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AWS Machine Learning Blog

AUGUST 8, 2024

Webex’s focus on delivering inclusive collaboration experiences fuels our innovation, which leverages AI and Machine Learning, to remove the barriers of geography, language, personality, and familiarity with technology. Its solutions are underpinned with security and privacy by design.

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NLP People

JULY 24, 2019

The 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019) is starting this week in Florence, Italy. The analysis is based on ACL papers published since 1998 which were processed using a domain-specific ontology for the fields of NLP and Machine Learning. Toutanova (2018). Goldberg and G.

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ODSC - Open Data Science

MARCH 6, 2024

In its early stages, Artificial Intelligence primarily consisted of Machine Learning models trained to make predictions based on data. 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.

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AWS Machine Learning Blog

AUGUST 8, 2024

Webex’s focus on delivering inclusive collaboration experiences fuels their innovation, which uses artificial intelligence (AI) and machine learning (ML), to remove the barriers of geography, language, personality, and familiarity with technology. Its solutions are underpinned with security and privacy by design.

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Probably Approximately a Scientific Blog

OCTOBER 30, 2017

For example, this blog post is published in a blog that largely discusses natural language processing, so if I write "NLP", you'd know I refer to natural language processing rather than to neuro-linguistic programming. A simple way to do so, in a machine-learning based solution (i.e.

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