Allen AI

JULY 8, 2023

NLPositionality: Characterizing Design Biases of Datasets and Models Sebastin Santy, Jenny Liang, Ronan Le Bras*, Katharina Reinecke, Maarten Sap* Design biases in NLP systems, such as performance differences for different populations, often stem from their creator’s positionality, i.e., views and lived experiences shaped by identity and background.

Computational Linguistics 52

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Topbots

JUNE 15, 2023

Language Disparity in Natural Language Processing This digital divide in natural language processing (NLP) is an active area of research. 70% of research papers published in a computational linguistics conference only evaluated English.[ Square One Bias in NLP: Towards a Multi-Dimensional Exploration of the Research Manifold.

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Topbots

JANUARY 30, 2023

For instance, in April 2022, DeepMind introduced Flamingo, a visual language model that can seamlessly ingest text, images and video. [5] In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics , pages 5185–5198, Online. Association for Computational Linguistics. [2] 2212.08120.

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Allen AI

MAY 30, 2023

2022; Levine et al., arXiv preprint arXiv:2201.07763 (2022). In Findings of the Association for Computational Linguistics: EMNLP 2020 , pp. 2020; Awad et al., Learning to ask the right questions We use Reinforcement Learning (PPO) to train our question generation system. When is it acceptable to break the rules?

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Sebastian Ruder

FEBRUARY 23, 2023

For modular fine-tuning for NLP, check out our EMNLP 2022 tutorial. Fixed routing can select different modules for different aspects of the target setting such as task and language in NLP or robot and task in RL, which enables generalisation to unseen scenarios. We cover such methods for NLP in our EMNLP 2022 tutorial.

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AWS Machine Learning Blog

MAY 22, 2023

Amazon EBS is well suited to both database-style applications that rely on random reads and writes, and to throughput-intensive applications that perform long, continuous reads and writes. """, """ Amazon Comprehend uses natural language processing (NLP) to extract insights about the content of documents.

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Snorkel AI

JUNE 14, 2023

Timo Mertens is the Head of ML and NLP Products at Grammarly. He presented “Toward Superhuman Communication Assistance” at Snorkel AI’s The Future of Data-Centric AI Summit in 2022. I’m very excited to see how machine learning and NLP can come together at Grammarly to help our users with those foundational and fundamental tasks.

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Snorkel AI

JUNE 14, 2023

Timo Mertens is the Head of ML and NLP Products at Grammarly. He presented “Toward Superhuman Communication Assistance” at Snorkel AI’s The Future of Data-Centric AI Summit in 2022. I’m very excited to see how machine learning and NLP can come together at Grammarly to help our users with those foundational and fundamental tasks.

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Marek Rei

OCTOBER 4, 2019

The growth of interest in NLP technology, fuelled largely by investment in AI applications, has been accompanied by unprecedented expansion of the preeminent NLP conferences: ACL, NAACL and EMNLP in particular. Paper count by country at the 2018 NLP conferences. Normalized paper count by country at the 2018 NLP conferences.

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Mlearning.ai

FEBRUARY 6, 2023

This methodology has been used to provide explanations for sentiment classification, topic tagging, and other NLP tasks and could potentially work for chatbot-writing detection as well. 2019 Annual Conference of the North American Chapter of the Association for Computational Linguistics. [7] Resources and References [1] A.

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ML @ CMU

SEPTEMBER 22, 2023

Trends Human Computer Interaction. [2] Adaptive Testing and Debugging of NLP Models. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). [3] In CHI Conference on Human Factors in Computing Systems. [5] 2] Marco Tulio Ribeiro and Scott Lundberg.

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