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Meet the Fellow: Shauli Ravfogel

NYU Center for Data Science

He brings a wealth of experience in natural language processing, representation learning, and the analysis and interpretability of neural models. Ravfogel holds a BSc in both Computer Science and Chemistry from Bar-Ilan University, as well as an MSc in Computer Science from the same institution. By Stephen Thomas

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Linguistics-aware In-context Learning with Data Augmentation (LaiDA): An AI Framework for Enhanced Metaphor Components Identification in NLP Tasks

Marktechpost

Given the intricate nature of metaphors and their reliance on context and background knowledge, MCI presents a unique challenge in computational linguistics. Neural network models based on word embeddings and sequence models have shown promise in enhancing metaphor recognition capabilities.

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SQuARE: Towards Multi-Domain and Few-Shot Collaborating Question Answering Agents

ODSC - Open Data Science

Moreover, combining expert agents is an immensely easier task to learn by neural networks than end-to-end QA. Iryna is co-director of the NLP program within ELLIS, a European network of excellence in machine learning. She is currently the president of the Association of Computational Linguistics. Euro) in 2021.

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Large Language Models – Technical Overview

Viso.ai

Emergence and History of LLMs Artificial Neural Networks (ANNs) and Rule-based Models The foundation of these Computational Linguistics models (CL) dates back to the 1940s when Warren McCulloch and Walter Pitts laid the groundwork for AI. Both contain self-attention mechanisms and feed-forward neural networks.

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Best Large Language Models & Frameworks of 2023

AssemblyAI

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?

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NLP Landscape: Switzerland

NLP People

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.

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ChatGPT4 still leads ChatBot/LLM Leaderboard

Bugra Akyildiz

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.

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