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Lexical Inference

Probably Approximately a Scientific Blog

Proceedings of the 14th conference on Computational linguistics-Volume 2. Association for Computational Linguistics, 1992. Association for Computational Linguistics, 2003. Proceedings of the Nineteenth Conference on Computational Natural Language Learning. Association for Computational Linguistics.

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Selective Classification Can Magnify Disparities Across Groups

The Stanford AI Lab Blog

In Proceedings of the IEEE International Conference on Computer Vision, pp. 3730–3738, 2015. ↩ Shiori Sagawa, Pang Wei Koh, Tatsunori B. In Association for Computational Linguistics (ACL), pp. Ziwei Liu, Ping Luo, Xiaogang Wang, and Xiaoou Tang. Deep learning face attributes in the wild. Hashimoto, and Percy Liang.

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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. Computational linguistics, 47(2), 255-308.

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What if AI treats humans the way we treat animals?

Flipboard

In reality, we aren’t cruel to animals because they’re stupid; we say they’re stupid because we’re cruel to them, inventing fact-free mythologies about their minds to justify our dominance, as political theorist Dinesh Wadiwel lays this out in his brilliant 2015 book The War Against Animals.

AI 181
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Multi-domain Multilingual Question Answering

Sebastian Ruder

2015 ), and NLQuAD ( Soleimani et al., 2015 ) as well as scientific articles including BioASQ ( Tsatsaronis et al., 2015 ) and Qasper ( Dasigi et al., 2015 ; Banerjee et al., Academic tests datasets target science questions in US school tests such as ARC ( Clark et al., News datasets include NewsQA ( Trischler et al.,

BERT 52
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Explosion in 2019: Our Year in Review

Explosion

Adriane is a computational linguist who has been engaged in research since 2005, completing her PhD in 2012. We updated the library, models and demo to compare 2015 and 2019 using contextually-keyed word vectors trained on billions of words from Reddit comments. Sep 4: spacy-transformers kept getting better as we released v0.4.0,

NLP 52