Sebastian Ruder

FEBRUARY 23, 2023

Computation Function We consider a neural network $f_theta$ as a composition of functions $f_{theta_1} odot f_{theta_2} odot ldots odot f_{theta_l}$, each with their own set of parameters $theta_i$. d) Hypernetwork: A small separate neural network generates modular parameters conditioned on metadata.

Deep Learning 52

Deep Learning NLP Computer Vision Metadata 52

Heartbeat

FEBRUARY 8, 2023

Natural Language Processing (NLP) plays a crucial role in advancing research in various fields, such as computational linguistics, computer science, and artificial intelligence. C++’s main advantage is its speed, which allows it to do complex computations more quickly, which is vital for AI development.

Natural Language Processing 52

Natural Language Processing NLP Machine Learning Deep Learning 52

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.

BERT 52

BERT Natural Language Processing ML Deep Learning 52

Explosion

MAY 8, 2016

We’ve since released spaCy v2.0 , which comes with new convolutional neural network models for German and other languages. 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.

Convolutional Neural Networks 40

Convolutional Neural Networks NLP Algorithm Neural Network 40

Bugra Akyildiz

JULY 16, 2023

Natural language processing (NLP) or computational linguistics is one of the most important technologies of the information age. Through lectures, assignments and a final project, students will learn the necessary skills to design, implement, and understand their own neural network models, using the Pytorch framework.

LLM 52

LLM Chatbots Large Language Models Neural Network 52

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. Another useful aspect of the initiative is the curation of the most common CL terms and their translation into 60 languages.

NLP 52

NLP Natural Language Processing Computational Linguistics Neural Network 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. They use neural networks that are inspired by the structure and function of the human brain. How Do Large Language Models Work?

Large Language Models 130

Large Language Models BERT LLM Auto-complete 130

Mlearning.ai

FEBRUARY 6, 2023

Classifiers based on neural networks are known to be poorly calibrated outside of their training data [3]. 2019 Annual Conference of the North American Chapter of the Association for Computational Linguistics. [7] 57th Annual Meeting of the Association for Computational Linguistics [9] C. Weigreffe, Y.

Explainable AI 52

Explainable AI Explainability ChatGPT Chatbots 52

Sebastian Ruder

JANUARY 24, 2022

Transactions of the Association for Computational Linguistics, 9, 978–994. Transactions of the Association for Computational Linguistics, 9, 570–585. Skillful Twelve Hour Precipitation Forecasts using Large Context Neural Networks, 1–34. link] ↩︎ Hendricks, L. Schneider, R.,

NLP 52

NLP ML BERT Computational Linguistics 52

Sebastian Ruder

AUGUST 18, 2019

This goes back to layer-wise training of early deep neural networks ( Hinton et al., Instead, we train layers individually to give them time to adapt to the new task and data. 2006 ; Bengio et al., Recent approaches ( Felbo et al., 2017 ; Howard and Ruder, 2018 ; Chronopoulou et al.,

NLP 75

NLP BERT Natural Language Processing Computational Linguistics 75

ODSC - Open Data Science

MARCH 6, 2024

Artificial Intelligence has made significant strides since its inception, evolving from simple algorithms to highly advanced Neural Networks capable of performing sophisticated tasks such as generating completely new content, including images, audio, and video.

Responsible AI 52

Responsible AI Generative AI Natural Language Processing Artificial Intelligence 52

Explosion

DECEMBER 17, 2013

It would be relatively easy to provide a beam-search version of spaCy…But, I think the gap in accuracy will continue to close, especially given advances in neural network learning. It is much faster than the Redshift parser (my research system), but less accurate. Syntactic Processing Using the Generalized Perceptron and Beam Search.

Python 45

Python Algorithm NLP Computational Linguistics 45

NLP People

JULY 24, 2019

The 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019) is starting this week in Florence, Italy. Neural Networks are the workhorse of Deep Learning (cf. Neural Network Methods in Natural Language Processing. Sequence to sequence learning with neural networks.

NLP 52

NLP Neural Network Deep Learning Natural Language Processing 52

Probably Approximately a Scientific Blog

OCTOBER 30, 2017

Association for Computational Linguistics (ACL)" ) or considering all the word sequences that start with these initials, and deciding on the correct one using rules or a machine-learning based solution. Today, similarly to other NLP tasks, parsers are mostly based on neural networks. Given enough context (e.g.

Natural Language Processing 52

Natural Language Processing NLP Machine Learning Computational Linguistics 52