NYU Center for Data Science

JULY 18, 2023

The group was first launched in 2016 by Associate Professor of Computer Science, Data Science and Mathematics Joan Bruna , and Associate Professor of Mathematics and Data Science and incoming CDS Interim Director Carlos Fernandez-Granda with the goal of advancing the mathematical and statistical foundations of data science.

Data Science 86

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Towards AI

SEPTEMBER 1, 2023

SpaCy is a language processing library written in Python and Cython that has been well-established since 2016. With little or no examples, they are able to perform language processing operations such as classification, sentiment analysis, concept extraction, named entity recognition, translation, and more.

LLM 109

LLM Large Language Models Deep Learning Python 109

Hal Daumé III

AUGUST 14, 2016

P16-1152 : Artem Sokolov; Julia Kreutzer; Christopher Lo; Stefan Riezler Learning Structured Predictors from Bandit Feedback for Interactive NLP This was perhaps my favorite paper of the conference because it's trying to do something new and hard and takes a nice approach. P16-2096 : Dirk Hovy; Shannon L.

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Unite.AI

FEBRUARY 16, 2024

For example, see Face-to-Face Interaction with Pedagogical Agents, Twenty Years Later , a 2016 article that overviews the field and cites a lot of the relevant material. Natural language processing (NLP) , natural language understanding and dialogue management that processes the content of the student's speech and produces the next response.

Natural Language Processing 173

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Explosion

OCTOBER 22, 2016

This is a guest post by Wah Loon Keng , the author of spacy-nlp , a client that exposes spaCy ’s NLP text parsing to Node.js (and other languages) via Socket.IO. Sat Oct 22 2016 17:36:14 GMT+0000 (UTC)] INFO Starting poly-socketio server on port: 6466, expecting 4 IO clients. We then install spaCy and Socket.IO CLI: 2.4.0,

NLP 52

NLP Python Natural Language Processing AI 52

ODSC - Open Data Science

SEPTEMBER 22, 2023

Before founding Gretel, he launched Harvest.ai, a security startup that leveraged NLP and AI to protect cloud data, which was acquired by Amazon in 2016. His current mission is to leverage AI and NLP technology to create the enterprise solution that speaks the language of each individual workplace.

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Artificial Corner

JUNE 18, 2023

ChatGPT released by OpenAI is a versatile Natural Language Processing (NLP) system that comprehends the conversation context to provide relevant responses. Question Answering has been an active research area in NLP for many years so there are several datasets that have been created for evaluating QA systems.

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Explosion

DECEMBER 30, 2021

Mar 17: March saw a new episode of Vincent Warmerdam’s “Intro to NLP with spaCy” series. Jun 4: At the beginning of June, Ines and Matt gave a talk at the Bay Area NLP group , one of the largest NLP communities in the world. ? Jun 10: Ines gave a keynote at the Teaching NLP Workshop at NAACL-2021. Mar 4: We released 1.0

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Topbots

JUNE 22, 2023

SA is a very widespread Natural Language Processing (NLP). Hence, whether general domain ML models can be as capable as domain-specific models is still an open research question in NLP. Other articles in my line of research (NLP, RL) Lima Paiva, F. It has several applications and thus can be used in several domains (e.g.,

Machine Learning 111

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AWS Machine Learning Blog

MARCH 28, 2024

News CommonCrawl is a dataset released by CommonCrawl in 2016. News CommonCrawl SEC Filing Coverage 2016-2022 1993-2022 Size 25.8 His research interests are in NLP, Generative AI, and LLM Agents. Publicly listed companies are required to file various documents regularly. This creates a large number of documents over the years.

Large Language Models 96

Large Language Models LLM Generative AI Machine Learning 96

ODSC - Open Data Science

OCTOBER 15, 2023

Their platform, called Ikigai, allows users to create and train NLP models without any coding experience. Ikigai is a valuable tool for anyone who wants to build or use NLP models. Outerbounds Founded in 2016, Outerbounds is a company that provides a platform for building and managing anomaly detection models.

Machine Learning 52

Machine Learning Data Science Artificial Intelligence Artificial Intelligence 52

Explosion

OCTOBER 2, 2016

We launched displaCy as a visualiser for our NLP library spaCy in 2015 and open-sourced the code in August 2016. It supports serving the visualizations in the browser, generating the raw markup or outputting the results in a Jupyter notebook. For more details, see the visualizers documentation.

NLP 40

NLP Robotics 40

Defined.ai blog

FEBRUARY 26, 2023

This has been a longstanding concern for large companies with distributed workforces, with companies like Apple acquiring startups like Emotient all the way back in 2016. Voci Technologies provides AI that can analyze meeting transcriptions and give you a sentiment report, helping you improve team dynamics and boost morale.

Categorization 98

Categorization AI AI Automation 98

NLP People

JULY 31, 2017

Tay Microsoft unveiled Tay (short for “thinking about you”) in March 2016 on Twitter. Dallas’ Robocop In 2016, police in Dallas were tracking a man alleged to have fatally shot five men. According to Bloomberg , scientists even met in 2017 to discuss the apparently very real dangers behind AI. Is there any danger?

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Robotics AI 52

How to Learn Machine Learning

DECEMBER 4, 2022

In 2016, Google released an open-source software called AutoML. Another way AI is being used to write code is through the use of natural language processing (NLP). NLP is a type of AI that can understand human language and convert it into code. One recent example of the usage of Ai is in the field of code writing.

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AWS Machine Learning Blog

MARCH 31, 2023

He has been with the Transportation Cabinet since 2016 working in various IT roles. The contact center is powered by Amazon Connect, and Max, the virtual agent, is powered by Amazon Lex and the AWS QnABot solution. Amazon Connect directs some incoming calls to the virtual agent (Max) by identifying the caller number.

Automation 76

Automation Natural Language Processing Conversational AI NLP 76

Hal Daumé III

JULY 16, 2018

You should also read these sources (which mostly focus on panels, not invited speakers, and also mostly focus on gender): Four steps to put an end to all-male panels at conferences , Bronwen Clune, The Guardian, 2013 Stop Agreeing To Be On All-Male Panels Just Stop , Emily Peck, Huffington Post, 2016 How to avoid an all-male panel?

NLP 40

NLP 40

Defined.ai blog

FEBRUARY 26, 2023

This has been a longstanding concern for large companies with distributed workforces, with companies like Apple acquiring startups like Emotient all the way back in 2016. Voci Technologies provides AI that can analyze meeting transcriptions and give you a sentiment report, helping you improve team dynamics and boost morale.

Categorization 52

Categorization AI AI Automation 52

Mlearning.ai

FEBRUARY 15, 2023

Introduction In natural language processing, text categorization tasks are common (NLP). Submission Suggestions Text Classification in NLP using Cross Validation and BERT was originally published in MLearning.ai Depending on the data they are provided, different classifiers may perform better or worse (eg. Uysal and Gunal, 2014).

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BERT NLP Natural Language Processing Algorithm 52

Sebastian Ruder

JULY 31, 2020

Natural language processing (NLP) research predominantly focuses on developing methods that work well for English despite the many positive benefits of working on other languages. Most of the world's languages are spoken in Asia, Africa, the Pacific region and the Americas. Each feature has 5.93 categories on average.

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Sebastian Ruder

JANUARY 19, 2021

The selection of areas and methods is heavily influenced by my own interests; the selected topics are biased towards representation and transfer learning and towards natural language processing (NLP). This is less of a problem in NLP where unsupervised pre-training involves classification over thousands of word types.

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NLP ML Computer Vision Natural Language Processing 52

Kavita Ganesan

OCTOBER 21, 2022

This is what happened with Tay, an AI Twitter bot from 2016. Tay was an experiment at the intersection of ML, NLP, and social networks. On the flip side, they can also be used for nefarious purposes, such as starting a disinformation campaign. These bots can also turn nefarious when “programmed” incorrectly.

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ML Machine Learning AI Strategy Continuous Learning 52

Marek Rei

FEBRUARY 5, 2020

2019 was another record breaking year in machine learning and NLP research. Andrew started the process with a subset of 2018 conferences for our joint article on The Geographic Diversity of NLP Conferences. Out of the top 7, Cambridge and Edinburgh publish quite a bit in NLP, while the others are focusing mainly on ML.

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Explosion

AUGUST 1, 2019

Huge transformer models like BERT, GPT-2 and XLNet have set a new standard for accuracy on almost every NLP leaderboard. It features consistent and easy-to-use interfaces to several models, which can extract features to power your NLP pipelines. apple2 = nlp("Apple sold fewer iPhones this quarter.") print(apple1[0].similarity(apple2[0]))

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ML Review

FEBRUARY 26, 2018

Following its successful adoption in computer vision and voice recognition, DL will continue to be applied in the domain of natural language processing (NLP). 2016 [6] Li J, Monroe W, Ritter A, et al. In Proceedings of The First International Workshop on Machine Learning in Spoken Language Processing. [5]

Robotics 52

Robotics Deep Learning Chatbots Natural Language Processing 52

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.

NLP 52

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Marek Rei

JANUARY 17, 2018

Thousands of new papers are published every year at the main ML and NLP conferences , not to mention all the specialised workshops and everything that shows up on ArXiv. The only filter that I applied was to exclude papers older than 2016, as the goal is to give an overview of the more recent work. NAACL 2016. Copenhagen.

Machine Learning 52

Machine Learning NLP Neural Network Convolutional Neural Networks 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.

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NLP BERT Natural Language Processing Computational Linguistics 75

Probably Approximately a Scientific Blog

AUGUST 14, 2018

On the other hand, it has been so prominent in NLP in the last few years (Figure 1), that it’s no longer reasonable to ignore it in a blog about NLP. As always, this post will probably be too basic for most NLP researchers, but you’re welcome to distribute it to people who are new to the field! Not this post! What has improved?

Deep Learning 52

Deep Learning NLP Neural Network Machine Learning 52

Topbots

OCTOBER 10, 2023

Interactive voice response systems (IVRs) and chatbots have been around since the 1990s, and major advances in NLP have been closely followed by waves of hope and development for voice and chat interfaces. Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks. [4] Conversational UIs are not exactly the new hot stuff.

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Large Language Models Conversational AI UX Design LLM 59

AssemblyAI

NOVEMBER 8, 2023

Main Limitations : Inability of the neural network to handle mixed-case words (e.g., "AssemblyAI") and acronyms (e.g., “NLP”), and reliance on rule-based refinement via a lookup table for casing, which hampers efficiency, scalability, and generalization. 2016 is still at the forefront of the SOTA models.

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Hal Daumé III

JULY 26, 2016

I like Colin Phillips ' encyclopedia article on syntax for a gentle introduction (and is what I start with for syntax in intro NLP). EDIT 26 Jul 2016, 8:24p Eastern: It's unclear to a few people so clarification. More classical linguists would answer these questions with tests like, for instance, constituency tests or scoping tests.

NLP 40

NLP 40

Explosion

NOVEMBER 9, 2016

Most NLP problems can be reduced to machine learning problems that take one or more texts as input. However, most NLP problems require understanding of longer spans of text, not just individual words. This has always been a huge weakness of NLP models. 2016) presented a model that achieved 86.8% Now we have a solution.

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John Snow Labs

MAY 23, 2023

Visual question answering (VQA), an area that intersects the fields of Deep Learning, Natural Language Processing (NLP) and Computer Vision (CV) is garnering a lot of interest in research circles. NLP is a particularly crucial element of the multi-discipline research problem that is VQA. is an object detection task.

Natural Language Processing 40

Natural Language Processing Deep Learning NLP Convolutional Neural Networks 40

AWS Machine Learning Blog

NOVEMBER 9, 2023

See Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks , REALM , kNN-LM and RETRO. In the past, she had worked on several NLP-based services such as Comprehend Medical, a medical diagnosis system at Amazon Health AI and Machine Translation system at Meta AI. She received her PhD from Virginia Tech in 2017.

Natural Language Processing 82

Natural Language Processing NLP Large Language Models LLM 82

Probably Approximately a Scientific Blog

JANUARY 12, 2021

The release of Google Translate’s neural models in 2016 reported large performance improvements: “60% reduction in translation errors on several popular language pairs”. In NLP, dialogue systems generate highly generic responses such as “I don’t know” even for simple questions. Open-ended generation is prone to repetition.

Natural Language Processing 52

Natural Language Processing BERT NLP Neural Network 52

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 International Conference on Machine Learning (ICML), 2016. ↩ ↩ 2 Yonatan Geifman and Ran El-Yaniv.

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