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Favoris ; Géographie ; NLP Teams AND AI@Google

Common descendants

CamemBERT

24 Documents

[2307.15936] A Theory for Emergence of Complex Skills in Language Models

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2024-02-24 About

[2305.06897] AfriQA: Cross-lingual Open-Retrieval Question Answering for African Languages

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2023-05-15 About

Daniel Vila Suero sur Twitter : "Data quality is key for LLMs, but we're building Open Source LLMs with data of "unknown" quality... Introducing Alpaca GarbageCollector..."

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2023-04-05 About

[2304.01982] Rethinking the Role of Token Retrieval in Multi-Vector Retrieval

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2023-04-05 About

[2203.14465] STaR: Bootstrapping Reasoning With Reasoning

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2023-02-07 About

Sentence Embedding Fine-tuning for the French Language | by La Javaness R&D | Feb, 2022 | Medium

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2022-03-31 About

[2006.05987] Revisiting Few-sample BERT Fine-tuning

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2022-03-21 About

Document Matching for Job Descriptions | Semantic Scholar (2021)

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2022-03-09 About

Sahajtomar/french_semantic · Hugging Face

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2021-10-14 About

exBERT: Extending Pre-trained Models with Domain-specific Vocabulary Under Constrained Training Resources - ACL Anthology

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**Focus on the Embedding of Domain-specific Vocabulary.**

> exBERT
adds a new domain-specific vocabulary and the corresponding
embedding layer, as well as a small
extension module to the original unmodified model

> a pretraining
method allowing **low-cost embedding of
domain-specific vocabulary in the context of an
existing large pre-trained model such as BERT**

> exBERT... explicitly incorporates
the new domain’s vocabulary, while being able to
**reuse the original pre-trained model’s weights as is**
to reduce required computation and training data. Specifically, exBERT extends BERT by augmenting
its embeddings for the original vocabulary with
new embeddings for the domain-specific vocabulary
via **a learned small “extension” module**. **The
output of the original and extension modules are
combined via a trainable weighted sum operation**

In a way similar to concept developed in

> [[1902.00751] Parameter-Efficient Transfer Learning for NLP](doc:2021/04/1902_00751_parameter_efficien), but not in the fine-tuning paradigm.

[Github](https://github.com/cgmhaicenter/exBERT)

2021-04-11 About

[2010.00402] From Trees to Continuous Embeddings and Back: Hyperbolic Hierarchical Clustering

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2020-10-03 About

BERT, ELMo, & GPT-2: How Contextual are Contextualized Word Representations? | SAIL Blog

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2020-03-28 About

Paris NLP Season 4 Meetup #3 – Paris NLP (2020)

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2020-01-23 About

Lecture 14 – Contextual Vectors | Stanford CS224U: Natural Language Understanding | Spring 2019

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2020-01-05 About

CamemBERT

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CamemBERT

2019-11-10 About

Meet ALBERT: a new ‘Lite BERT’ from Google & Toyota with State of the Art NLP performance and 18x fewer parameters.

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2019-10-01 About

Contrastive Unsupervised Learning of Semantic Representations: A Theoretical Framework – Off the convex path (2019-03)

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2019-03-20 About

Romain Vial (Hyperlex) at Paris NLP meetup, slides

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2019-01-24 About

Google AI Blog: Google at EMNLP 2018

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2018-11-25 About

Self-Governing Neural Networks for On-Device Short Text Classification - Sujith Ravi | Zornitsa Kozareva (2018)

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2018-11-02 About

Module google/universal-sentence-encoder | TensorFlow

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2018-05-23 About

An overview of word embeddings and their connection to distributional semantic models - AYLIEN (2016)

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2017-07-20 About

Don’t count, predict! A systematic comparison of context-counting vs. context-predicting semantic vectors (2014)

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2017-05-18 About

How is GloVe different from word2vec? - Quora

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2017-05-18 About