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The State of Multilingual AI

Sebastian Ruder

Initiatives   The Association for Computational Linguistics (ACL) has emphasized the importance of language diversity, with a special theme track at the main ACL 2022 conference on this topic. In Findings of the Association for Computational Linguistics: ACL 2022 (pp. In Proceedings of NIPS 2017. Winata, G.

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ACL 2022 Highlights

Sebastian Ruder

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. To supervise models, we can use incidental supervision such as comparable texts ( Roth, 2017 ). Similarly, Hofmann et al.

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Overcoming The Limitations Of Large Language Models

Topbots

We are quick to attribute intelligence to models and algorithms, but how much of this is emulation, and how much is really reminiscent of the rich language capability of humans? In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics , pages 5185–5198, Online. 10.48550/arXiv.2212.08120.

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Reward Isn't Free: Supervising Robot Learning with Language and Video from the Web

The Stanford AI Lab Blog

Indeed, this recipe of massive, diverse datasets combined with scalable offline learning algorithms (e.g. Replicating these impressive generalization and adaptation capabilities in robot learning algorithms would certainly be a step toward robots that can be used in unstructured, real world environments. Neumann, M., Gardner, M.,

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ML and NLP Research Highlights of 2021

Sebastian Ruder

In mathematics, ML was shown to be able to guide the intuition of mathematicians in order to discover new connections and algorithms [77]. Transactions of the Association for Computational Linguistics, 9, 978–994. Transactions of the Association for Computational Linguistics, 9, 570–585. Schneider, R.,

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AI Distillery (Part 2): Distilling by Embedding

ML Review

Word embeddings Visualisation of word embeddings in AI Distillery Word2vec is a popular algorithm used to generate word representations (aka embeddings) for words in a vector space. Then, the algorithm proceeds with the following word as the new centre word, i.e. “learning”, sets up the new context, and repeats the same procedure.

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Major trends in NLP: a review of 20 years of ACL research

NLP People

The 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019) is starting this week in Florence, Italy. The other major challenge is the labeled data bottleneck : strictly speaking, most state-of-the-art algorithms are supervised. They not only need annotated data – they need Big Labeled Data.

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