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What are they thinking?

Allen AI

In Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 1115–1127, Seattle, United States. Association for Computational Linguistics. Association for Computational Linguistics. 2020) and CSQA (Talmor et al.,

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Explosion in 2019: Our Year in Review

Explosion

As 2019 draws to a close and we step into the 2020s, we thought we’d take a look back at the year and all we’ve accomplished. was released – our first major upgrade to Prodigy for 2019. Jul 29: Then it was really nice to see Ines featured as the PyDev of the Week on the Mouse vs. Python blog at the end of the month.

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The Seven Trends in Machine Translation for 2019

NLP People

Hundreds of researchers, students, recruiters, and business professionals came to Brussels this November to learn about recent advances, and share their own findings, in computational linguistics and Natural Language Processing (NLP). So, what’s new in the world of machine translation and what can we expect in 2019?

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How to Improve User Experience (and Behavior): Three Papers from Stanford's Alexa Prize Team

The Stanford AI Lab Blog

Introduction In 2019, Stanford entered the Alexa Prize Socialbot Grand Challenge 3 for the first time, with its bot Chirpy Cardinal , which went on to win 2nd place in the competition. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pages 5370-5381, Florence, Italy.

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Explainable AI and ChatGPT Detection

Mlearning.ai

2019 Annual Conference of the North American Chapter of the Association for Computational Linguistics. [7] Attention is not not Explanation (2019). The 2019 Conference on Empirical Methods in Natural Language Processing. [8] 57th Annual Meeting of the Association for Computational Linguistics [9] C.

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A Gentle Introduction to GPTs

Mlearning.ai

It combines techniques from computational linguistics, probabilistic modeling, deep learning to make computers intelligent enough to grasp the context and the intent of the language. GPT-3 is a successor to the earlier GPT-2 (released in Feb 2019) and GPT-1 (released in June 2018) models . Hope you like it!

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The State of Transfer Learning in NLP

Sebastian Ruder

This post expands on the NAACL 2019 tutorial on Transfer Learning in NLP. Introduction For an overview of what transfer learning is, have a look at this blog post. 2019 ) of recent years. A taxonomy that highlights the variations can be seen below: A taxonomy for transfer learning in NLP ( Ruder, 2019 ).

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