NLP People

APRIL 10, 2019

It’s Institute of Computational Linguistics , which includes the Phonetics Laboratory , lead by Martin Volk and Volker Dellwo, as well as the URPP Language and Space perform research in NLP topics, such as machine translation, sentiment analysis, speech recognition and dialect detection. University of St.

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NLP People

MAY 18, 2018

Are you looking to study or work in the field of NLP? For this series, NLP People will be taking a closer look at the NLP education & development landscape in different parts of the world, including the best sites for job-seekers and where you can go for the leading NLP-related education programs on offer.

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Towards AI

DECEMBER 28, 2023

It combines statistics and mathematics with computational linguistics. NLTK stands for Natural Language Toolkit, comprising Python modules, datasets, corpora, and tutorials designed for Natural Language Processing (NLP). It stands as one of the most revered and recognized packages in Python, demonstrated by its impressive 12.6k

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NLP People

OCTOBER 9, 2018

In the past years, the tech world has seen a surge of NLP applications in various areas including adtech, publishing, customer service and market intelligence. To put it simply – NLP is wildly adopted with wildly variable success (let’s assume a working definition of success in terms of quality and ROI).

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NLP People

JUNE 5, 2018

Are you looking to study or work in the field of NLP? For this series, NLP People will be taking a closer look at the NLP education & development landscape in different parts of the world, including the best sites for job-seekers and where you can go for the leading NLP-related education programs on offer.

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Marktechpost

JANUARY 4, 2024

The development of Large Language Models (LLMs), such as GPT and BERT, represents a remarkable leap in computational linguistics. The computational intensity required and the potential for various failures during extensive training periods necessitate innovative solutions for efficient management and recovery.

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Allen AI

JULY 8, 2023

NLPositionality: Characterizing Design Biases of Datasets and Models Sebastin Santy, Jenny Liang, Ronan Le Bras*, Katharina Reinecke, Maarten Sap* Design biases in NLP systems, such as performance differences for different populations, often stem from their creator’s positionality, i.e., views and lived experiences shaped by identity and background.

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Ehud Reiter

JUNE 6, 2023

This year I got a good perspective on this issue, because I was both an Action editor at TACL ( Transactions of the ACL ), which is a leading NLP journal; and a Senior Area Chair for the ACL conference , which is a leading NLP conference. Please note that everything I say is general and probably already known to many of my readers.

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ODSC - Open Data Science

APRIL 3, 2023

QA is a critical area of research in NLP, with numerous applications such as virtual assistants, chatbots, customer support, and educational platforms. Iryna is co-director of the NLP program within ELLIS, a European network of excellence in machine learning. SQuARE is a research project that aims to make QA research more accessible.

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Ehud Reiter

OCTOBER 10, 2023

BLEU survey: better presentation of results Another example is my 2018 paper which presented a structured survey of the validity of BLEU; this was published in Computational Linguistics journal. Motivated by the structured surveys I had seen in medicine, I decided to the same thing in NLP.

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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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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. has your back.

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Heartbeat

FEBRUARY 8, 2023

Source: Author The field of natural language processing (NLP), which studies how computer science and human communication interact, is rapidly growing. By enabling robots to comprehend, interpret, and produce natural language, NLP opens up a world of research and application possibilities.

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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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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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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. Pham, Dan Huang, Andrew Y.

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Sebastian Ruder

JUNE 6, 2022

Seeing the emergence of such multilingual multimodal approaches is particularly encouraging as it is an improvement over the previous year’s ACL where multimodal approaches mainly dealt with English (based on an analysis of “multi-dimensional” NLP research we did for an ACL 2022 Findings paper ). Hershcovich et al.

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Sebastian Ruder

FEBRUARY 23, 2023

For modular fine-tuning for NLP, check out our EMNLP 2022 tutorial. Fixed routing can select different modules for different aspects of the target setting such as task and language in NLP or robot and task in RL, which enables generalisation to unseen scenarios. We cover such methods for NLP in our EMNLP 2022 tutorial.

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Probably Approximately a Scientific Blog

JULY 13, 2015

As many other NLP tasks, this one is also difficult. Figure 3: I've just seen this on my Facebook feed after publishing the post and I had to add it :) As I mentioned before, recognizing lexical inference is usually a component in some NLP application. Proceedings of the 14th conference on Computational linguistics-Volume 2.

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Allen AI

MAY 30, 2023

In Findings of the Association for Computational Linguistics: EMNLP 2020 , pp. Hwang, Chandra Bhagavatula, Maxwell Forbes, Ronan Le Bras, Noah A. Smith, and Yejin Choi. Thinking like a skeptic: Defeasible inference in natural language.”

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Sebastian Ruder

JANUARY 24, 2022

2021) 2021 saw many exciting advances in machine learning (ML) and natural language processing (NLP). If CNNs are pre-trained the same way as transformer models, they achieve competitive performance on many NLP tasks [28].   Popularized by GPT-3 [32] , prompting has emerged as a viable alternative input format for NLP models.

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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. Just wait until you hear what happened in 2022.

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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

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. However, transfer learning is not a recent phenomenon in NLP.

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Sebastian Ruder

NOVEMBER 14, 2022

At the same time, a wave of NLP startups has started to put this technology to practical use. I will be focusing on topics related to natural language processing (NLP) and African languages as these are the domains I am most familiar with. This post takes a closer look at how the AI community is faring in this endeavour.

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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. as these words do not make any sense to machines.

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Ines Montani

MAY 9, 2017

Challenges for open-source NLP One of the biggest challenges for Natural Language Processing is dealing with fast-moving and unpredictable technologies. This is a lot less true in AI or NLP. Since spaCy was released, the best practices for NLP have changed considerably. to adding tokenizer exceptions for Bengali or Hebrew.

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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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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 was close to finishing school and had to think about what I wanted to do with my life. It was disappointing and frustrating.

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Mlearning.ai

FEBRUARY 19, 2023

Natural Language Processing (NLP) NLP is subset of Artificial Intelligence that is concerned with helping machines to understand the human language. It combines techniques from computational linguistics, probabilistic modeling, deep learning to make computers intelligent enough to grasp the context and the intent of the language.

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Marek Rei

OCTOBER 4, 2019

The growth of interest in NLP technology, fuelled largely by investment in AI applications, has been accompanied by unprecedented expansion of the preeminent NLP conferences: ACL, NAACL and EMNLP in particular. Paper count by country at the 2018 NLP conferences. Normalized paper count by country at the 2018 NLP conferences.

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Explosion

MAY 8, 2016

This means that an English-only NLP system can get away with some very useful simplifying assumptions. 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. It’s a simplifying assumption.

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The Stanford AI Lab Blog

OCTOBER 13, 2021

Across a range of applications from vision 1 2 3 and NLP 4 5 , even simple selective classifiers, relying only on model logits, routinely and often dramatically improve accuracy by abstaining. In Association for Computational Linguistics (ACL), pp. This makes selective classification a compelling tool for ML practitioners 6 7.

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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

Natural language processing (NLP) or computational linguistics is one of the most important technologies of the information age. In this course, students will gain a thorough introduction to cutting-edge research in Deep Learning for NLP.

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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.[ Square One Bias in NLP: Towards a Multi-Dimensional Exploration of the Research Manifold.

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AssemblyAI

SEPTEMBER 18, 2023

These feats of computational linguistics have redefined our understanding of machine-human interactions and paved the way for brand-new digital solutions and communications. Original natural language processing (NLP) models were limited in their understanding of language.

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