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SQuARE: Towards Multi-Domain and Few-Shot Collaborating Question Answering Agents

ODSC - Open Data Science

Question Answering is the task in Natural Language Processing that involves answering questions posed in natural language. Examples are the ACL fellow award 2020 and the first Hessian LOEWE Distinguished Chair award (2,5 mil. She is currently the president of the Association of Computational Linguistics.

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All Languages Are NOT Created (Tokenized) Equal

Topbots

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.[ Association for Computational Linguistics.

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A Gentle Introduction to GPTs

Mlearning.ai

You don’t need to have a PhD to understand the billion parameter language model GPT is a general-purpose natural language processing model that revolutionized the landscape of AI. GPT-3 is a autoregressive language model created by OpenAI, released in 2020 . What is GPT-3?

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The State of Multilingual AI

Sebastian Ruder

Developing models that work for more languages is important in order to offset the existing language divide and to ensure that speakers of non-English languages are not left behind, among many other reasons. In particular, languages and scripts that were never seen during pre-training often lead to poor performance [29] [30].

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

The Stanford AI Lab Blog

Towards a human-like open-domain chatbot arXiv preprint arXiv:2001.09977 (2020). ↩ Roller, Stephen, Emily Dinan, Naman Goyal, Da Ju, Mary Williamson, Yinhan Liu, Jing Xu et al. Recipes for building an open-domain chatbot arXiv preprint arXiv:2004.13637 (2020). ↩ Hannah Raskin, Eric Michael Smith, Margaret Li, and Y-Lan Boureau.

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Multi-domain Multilingual Question Answering

Sebastian Ruder

2020 ) train models to maximize the similarity between question and passage and then retrieve the most relevant passages via maximum inner product search. A domain can be seen as a manifold in a high-dimensional variety space consisting of many dimensions such as socio-demographics, language, genre, sentence type, etc ( Plank et al.,

BERT 52
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Overcoming The Limitations Of Large Language Models

Topbots

In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics , pages 5185–5198, Online. Association for Computational Linguistics. [2] SKILL: Structured Knowledge Infusion for Large Language Models. Association for Computational Linguistics. [4] References [1] Emily M.