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Modern NLP: A Detailed Overview. Part 3: BERT

Towards AI

In this article, we will talk about another and one of the most impactful works published by Google, BERT (Bi-directional Encoder Representation from Transformers) BERT undoubtedly brought some major improvements in the NLP domain. Deep contextualized word representations This paper was released by Allen-AI in the year 2018.

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Introduction to Large Language Models (LLMs): An Overview of BERT, GPT, and Other Popular Models

John Snow Labs

In this section, we will provide an overview of two widely recognized LLMs, BERT and GPT, and introduce other notable models like T5, Pythia, Dolly, Bloom, Falcon, StarCoder, Orca, LLAMA, and Vicuna. BERT excels in understanding context and generating contextually relevant representations for a given text.

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Introducing spaCy v3.0

Explosion

de_dep_news_trf German bert-base-german-cased 99.0 95.8 - es_dep_news_trf Spanish bert-base-spanish-wwm-cased 98.2 94.4 - zh_core_web_trf Chinese bert-base-chinese 92.5 Named Entity Recognition System OntoNotes CoNLL ‘03 spaCy RoBERTa (2020) 89.7 Stanza (StanfordNLP) 1 88.8 Flair 2 89.7 and CoNLL-2003 corpora. Akbik et al.

NLP 52
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Google Research, 2022 & beyond: Research community engagement

Google Research AI blog

For example, supporting equitable student persistence in computing research through our Computer Science Research Mentorship Program , where Googlers have mentored over one thousand students since 2018 — 86% of whom identify as part of a historically marginalized group. See some of the datasets and tools we released in 2022 listed below.

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Creating An Information Edge With Conversational Access To Data

Topbots

It not only requires SQL mastery on the part of the annotator, but also more time per example than more general linguistic tasks such as sentiment analysis and text classification. 4] In the open-source camp, initial attempts at solving the Text2SQL puzzle were focussed on auto-encoding models such as BERT, which excel at NLU tasks.[5,