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Natural Language Processing with R

Heartbeat

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

ODSC - Open Data Science

Question Answering is the task in Natural Language Processing that involves answering questions posed in natural language. She is currently the president of the Association of Computational Linguistics. Don’t worry, you’re not alone! Furthermore, updating MetaQA is straightforward.

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2022: We reviewed this year’s AI breakthroughs

Applied Data Science

In our review of 2019 we talked a lot about reinforcement learning and Generative Adversarial Networks (GANs), in 2020 we focused on Natural Language Processing (NLP) and algorithmic bias, in 202 1 Transformers stole the spotlight. As humans we do not know exactly how we learn language: it just happens.

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spaCy now speaks German

Explosion

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. German is also famous for its capacity to form really long words , another process that is driven by the morphological system.

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All Languages Are NOT Created (Tokenized) Equal

Topbots

Language Disparity in Natural Language Processing This digital divide in natural language processing (NLP) is an active area of research. 70% of research papers published in a computational linguistics conference only evaluated English.[ Association for Computational Linguistics.

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ChatGPT4 still leads ChatBot/LLM Leaderboard

Bugra Akyildiz

Data Collection: Download a large amount of publicly available data Preprocessing: Tokenization; transform all text into one very long list of integers. Natural language processing (NLP) or computational linguistics is one of the most important technologies of the information age.

LLM 52
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Reflections on running spaCy: commercial open-source NLP

Ines Montani

In this post I’ll share some lessons we’ve learned from running spaCy , the popular and fast-growing library for Natural Language Processing in Python. Challenges for open-source NLP One of the biggest challenges for Natural Language Processing is dealing with fast-moving and unpredictable technologies.

NLP 52