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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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. Check out the Paper and Blog. Strikingly, even after removing up to 70% (around 15.7

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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 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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Natural Language Processing NLP Computational Linguistics Machine Learning 52

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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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. The post was initially published at the TAUS Blog.

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Allen AI

MAY 30, 2023

In Findings of the Association for Computational Linguistics: EMNLP 2020 , pp. ClarifyDelphi was originally published in AI2 Blog on Medium, where people are continuing the conversation by highlighting and responding to this story. Smith, and Yejin Choi. Thinking like a skeptic: Defeasible inference in natural language.”

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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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Ines Montani

FEBRUARY 8, 2017

Some of them had very popular blogs and impressive skills, even by today’s standards. Some designs of my old blog, klammerauf.org, from 2006-2009 It was common to redesign your site for no particular reason about once a month, so there was always something to do. It was the early age of blogging and everything seemed possible.

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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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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. Acknowledgements Thanks to the SAIL blog editors, Pang Wei Koh, and Shiori Sagawa for their helpful feedback on this blog post.

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Sebastian Ruder

AUGUST 18, 2019

This post expands on the NAACL 2019 tutorial on Transfer Learning in NLP. Introduction For an overview of what transfer learning is, have a look at this blog post. However, transfer learning is not a recent phenomenon in NLP. There are different types of transfer learning common in current NLP.

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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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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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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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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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Topbots

JUNE 15, 2023

This article was originally published on the author’s blog and re-published to TOPBOTS with permission from the author. Language Disparity in Natural Language Processing This digital divide in natural language processing (NLP) is an active area of research. Association for Computational Linguistics. Brown, Tom, et al.

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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. ?

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Mlearning.ai

FEBRUARY 6, 2023

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. 2019 Annual Conference of the North American Chapter of the Association for Computational Linguistics. [7] Attention is not Explanation.

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The Stanford AI Lab Blog

JANUARY 21, 2022

self-supervised or cheaply supervised learning) has been the backbone of the many recent successes of foundation models 3 in NLP 4 5 6 7 8 9 and vision 10 11 12. In this blog post I’ll share some recent work that explores using data and supervision that can be easily collected through the web as a way of learning rewards for robots.

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AWS Machine Learning Blog

MARCH 2, 2023

Sentiment analysis and other natural language programming (NLP) tasks often start out with pre-trained NLP models and implement fine-tuning of the hyperparameters to adjust the model to changes in the environment. She has a technical background in AI and Natural Language Processing.

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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. The project I was working on was aimed at encouraging school students to consider a career in IT.

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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. 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?

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ML Review

MARCH 5, 2019

For an awesome blog on more recent techniques for word embeddings and sentence/document embeddings check here and this repo for a list of all the recent papers in this space. vector: Probing sentence embeddings for linguistic properties. In our case, we deliberately use the whole full-text of an ArXiv submission as the document.

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Explosion

DECEMBER 17, 2013

I wrote this blog post in 2013, describing an exciting advance in natural language understanding technology. You should probably at least skim that post before reading this one, unless you’re very familiar with NLP research. The original post is preserved below, with added commentary in light of recent research.

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

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