Marktechpost

MARCH 12, 2024

The advent of large language models (LLMs) has ushered in a new era in computational linguistics, significantly extending the frontier beyond traditional natural language processing to encompass a broad spectrum of general tasks.

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Marktechpost

JANUARY 15, 2024

Machine translation, an integral branch of Natural Language Processing, is continually evolving to bridge language gaps across the globe. One persistent challenge is the translation of low-resource languages, which often need more substantial data for training robust models.

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Marktechpost

JULY 15, 2023

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. These models, which are trained on extensive amounts of data, can learn in context, even with minimal examples.

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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.

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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.

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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.

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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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Defined.ai blog

MARCH 23, 2023

Another advantage of open-source ABSA datasets is that they’re widely used and well-known in the natural language processing (NLP) community, meaning that there’s a wealth of information and support available for anyone using these datasets in their own projects.

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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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Probably Approximately a Scientific Blog

JULY 13, 2015

After I dedicated the previous post to the awesome field of natural language processing, in this post I will drill down and tell you about the specific task that I'm working on: recognizing lexical inference. Proceedings of the 14th conference on Computational linguistics-Volume 2. References: [1] Hearst, Marti A.

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NLP People

JUNE 5, 2018

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. They are hiring. They are not hiring at the moment, but you can always drop them a line.

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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).

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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. The 49th Annual Meeting of the Association for Computational Linguistics (ACL 2011). Daly, Peter T.

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Analytics Vidhya

SEPTEMBER 22, 2019

Overview How do search engines like Google understand our queries and provide relevant results? Learn about the concept of information extraction We will apply. The post How Search Engines like Google Retrieve Results: Introduction to Information Extraction using Python and spaCy appeared first on Analytics Vidhya.

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Sebastian Ruder

FEBRUARY 23, 2023

BibTeX citation @article{pfeiffer2023modulardeeplearning, author = {Pfeiffer, Jonas and Ruder, Sebastian and Vuli{'c}, Ivan and Ponti, Edoardo M.},

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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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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.

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Ines Montani

FEBRUARY 8, 2017

I eventually started university at the age of 17, doing a degree of media science and language studies, a hybrid of linguistics, computational linguistics and phonetics. I started working with Matt , who had just released spaCy , an open-source library for Natural Language Processing.

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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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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?

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Sebastian Ruder

JUNE 6, 2022

The initiative focuses on making Computational Linguistics (CL) research accessible in 60 languages and across all modalities, including text/speech/sign language translation, closed captioning, and dubbing.

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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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Google Research AI blog

JULY 10, 2023

Posted by Malaya Jules, Program Manager, Google This week, the 61st annual meeting of the Association for Computational Linguistics (ACL), a premier conference covering a broad spectrum of research areas that are concerned with computational approaches to natural language, is taking place online.

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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.

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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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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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The Stanford AI Lab Blog

FEBRUARY 1, 2022

In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pages 5370-5381, Florence, Italy. Association for Computational Linguistics. ↩ Sheryl Brahnam. Interact 2005 work- shop Abuse: The darker side of Human-Computer Interaction , pages 62–67. ↩ John Suler.

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Explosion

MAY 8, 2016

In the same way that a physicist might assume a frictionless surface or a spherical cow , sometimes it’s useful for computational linguists to assume projective trees and context-free grammars. German is also famous for its capacity to form really long words , another process that is driven by the morphological system.

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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. Attention is not Explanation. Serrano, N.

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Sebastian Ruder

AUGUST 18, 2019

Citation If you found this post helpful, consider citing the tutorial as: @inproceedings{ruder2019transfer, title={Transfer Learning in Natural Language Processing}, author={Ruder, Sebastian and Peters, Matthew E and Swayamdipta, Swabha and Wolf, Thomas}, booktitle={Proceedings of the 2019 Conference of the North American Chapter of the Association (..)

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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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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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Explosion

DECEMBER 28, 2019

Among other things, Ines discussed fast.ai ’s new course on Natural Language Processing and using Polyaxon for model training and experiment management. ? Adriane is a computational linguist who has been engaged in research since 2005, completing her PhD in 2012.

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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.

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AWS Machine Learning Blog

MARCH 2, 2023

Ana has had several leadership roles at startups and large corporations such as Intel and eBay, leading ML inference and linguistics related products. Ana has a Masters in Computational Linguistics and an MBA form Haas/UC Berkeley, and and has been a visiting scholar in Linguistics at Stanford.

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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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