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.

NLP 52

NLP Data Mining Deep Learning Natural Language Processing 52

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.

Large Language Models 98

Large Language Models AI Research AI Researcher Computational Linguistics 98

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.

Neural Network 117

Neural Network Natural Language Processing NLP Computational Linguistics 117

Topbots

JUNE 15, 2023

This article was originally published on the author’s blog and re-published to TOPBOTS with permission from the author. Here, you can compare the token lengths for different languages and for different tokenizers (which was not explored in this article, but which I explore the reader to do on their own).

Natural Language Processing 59

Natural Language Processing Computational Linguistics NLP ChatGPT 59

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.

Auto-classification 52

Auto-classification Auto-complete Natural Language Processing NLP 52

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.

NLP 75

NLP BERT Natural Language Processing Computational Linguistics 75

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.

Natural Language Processing 52

Natural Language Processing NLP Machine Learning Deep Learning 52

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. LLMs generate text.

Large Language Models 130

Large Language Models BERT Auto-complete LLM 130

Bugra Akyildiz

JULY 16, 2023

Articles LLM Arena You want to use a chatbot or LLM, but you do not know which one to pick? Natural language processing (NLP) or computational linguistics is one of the most important technologies of the information age. Or you simply want to compare various LLMs in terms of capability?

LLM 52

LLM Chatbots Neural Network Large Language Models 52

Topbots

JANUARY 30, 2023

400k AI-related online texts since 2021) Disclaimer: This article was written without the support of ChatGPT. In this article, we will look into the limitations of LLMs and discuss ongoing efforts to control and enhance LLM behaviour. A complete overview over existing knowledge injection approaches can be found in this article.

Large Language Models 52

Large Language Models Computational Linguistics LLM Natural Language Processing 52

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.

Neural Network 52

Neural Network Computational Linguistics NLP Natural Language Processing 52

Explosion

DECEMBER 28, 2019

Jan 15: The year started out with us as guests on the NLP Highlights podcast , hosted by Matt Gardner and Waleed Ammar of Allen AI. In the interview, Matt and Ines talked about Prodigy , where training corpora come from and the challenges of annotating data for an NLP system – with some ideas about how to make it easier. ?

NLP 52

NLP BERT Machine Learning Python 52

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.

NLP 52

NLP Natural Language Processing Computational Linguistics Neural Network 52

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.

Deep Learning 52

Deep Learning NLP Computer Vision Metadata 52

AWS Machine Learning Blog

MAY 22, 2023

This dataset contains questions posed by human annotators on a set of Wikipedia articles. Such questions are plausible but can’t be directly answered from articles’ content. Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers). 2] to fine-tune the model.

Natural Language Processing 114

Natural Language Processing Machine Learning Computational Linguistics NLP 114

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. To know more about this model, you can refer this article.

BERT 52

BERT Natural Language Processing ML Deep Learning 52

Sebastian Ruder

DECEMBER 6, 2021

2015 ) as well as scientific articles including BioASQ ( Tsatsaronis et al., Many test collections used newswire articles, e.g. CLIR at TREC 1994–2004, QA at CLEF 2003–2005 ( Magnini et al., Linguistic and demographic utility of different NLP applications ( Blasi et al., 2015 ) and Qasper ( Dasigi et al.,

BERT 52

BERT NLP Natural Language Processing Computational Linguistics 52

Mlearning.ai

FEBRUARY 6, 2023

In this article, I am to break down some of these issues around model-based chatbot detection. Is this different from summarizing articles online? This methodology has been used to provide explanations for sentiment classification, topic tagging, and other NLP tasks and could potentially work for chatbot-writing detection as well.

Explainable AI 52

Explainable AI Explainability ChatGPT Chatbots 52

Probably Approximately a Scientific Blog

JULY 13, 2015

As many other NLP tasks, this one is also difficult. all the English articles in Wikipedia) which is supposed to be representative of the language. Proceedings of the 14th conference on Computational linguistics-Volume 2. Association for Computational Linguistics, 1992. or "what infers y ?".

Computational Linguistics 52

Computational Linguistics Natural Language Processing NLP 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. We took the opportunity to review major research trends in the animated NLP space and formulate some implications from the business perspective. But what is the substance behind the buzz?

NLP 52

NLP Neural Network Deep Learning Natural Language Processing 52

ODSC - Open Data Science

MARCH 6, 2024

I’m excited to see you at ODSC East 2024! — — — — — — — — — — — – About the Author: Madiha Shakil Mirza is an AI Engineer with a research background and consulting experience in Natural Language Processing (NLP), Generative AI, Machine Learning, and Deep Learning across various industries.

Responsible AI 52

Responsible AI Generative AI Natural Language Processing Artificial Intelligence 52

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. Word Sense Disambiguation (WSD) is an NLP task aimed at disambiguating a word in context.

Natural Language Processing 52

Natural Language Processing NLP Machine Learning Computational Linguistics 52