ODSC - Open Data Science

APRIL 3, 2023

Moreover, combining expert agents is an immensely easier task to learn by neural networks than end-to-end QA. Examples are the ACL fellow award 2020 and the first Hessian LOEWE Distinguished Chair award (2,5 mil. Iryna is co-director of the NLP program within ELLIS, a European network of excellence in machine learning.

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Applied Data Science

DECEMBER 23, 2022

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. Just wait until you hear what happened in 2022. Who should I follow? How is this even possible?

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John Snow Labs

DECEMBER 26, 2023

Sentiment Analysis Using Simplified Long Short-term Memory Recurrent Neural Networks. The 49th Annual Meeting of the Association for Computational Linguistics (ACL 2011). References Langtest GitHub Repository Large Movie Review Dataset v1.0 Gopalakrishnan, K., & Salem, F. abs/2005.03993 Andrew L. Maas, Raymond E.

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Neural Network Computational Linguistics NLP Natural Language Processing 52

The Stanford AI Lab Blog

OCTOBER 13, 2021

Distributionally robust neural networks for group shifts: On the importance of regularization for worst-case generalization. In Association for Computational Linguistics (ACL), pp. SelectiveNet: A deep neural network with an integrated reject option. 151–159, 2020. ↩ C. Earnshaw, Imran S.

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Neural Network Machine Learning Computational Linguistics Deep Learning 40

Sebastian Ruder

JANUARY 24, 2022

  Retrieval-augmented language models, which integrate retrieval into pre-training and downstream usage, have already featured in my highlights of 2020. Advances in Neural Information Processing Systems, 2020. Transactions of the Association for Computational Linguistics, 9, 978–994. What happened?  

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NLP ML BERT Computational Linguistics 52

Marek Rei

NOVEMBER 4, 2024

They annotate a new test set of news data from 2020 and find that performance of certain models holds up very well and the field luckily hasn’t overfitted to the CoNLL 2003 test set. Computational Linguistics 2022. link] Developing a system for the detection of cognitive impairment based on linguistic features.

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Machine Learning NLP Large Language Models LLM 80

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.

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