Sebastian Ruder

JUNE 6, 2022

Seeing the emergence of such multilingual multimodal approaches is particularly encouraging as it is an improvement over the previous year’s ACL where multimodal approaches mainly dealt with English (based on an analysis of “multi-dimensional” NLP research we did for an ACL 2022 Findings paper ). Hershcovich et al.

NLP 52

NLP Natural Language Processing Computational Linguistics Neural Network 52

Allen AI

MAY 30, 2023

In general we believe that AI making judgments/predictions based on limited information and context is risky, especially with the increasing popularity of chatbots. In Findings of the Association for Computational Linguistics: EMNLP 2020 , pp. Hwang, Chandra Bhagavatula, Maxwell Forbes, Ronan Le Bras, Noah A.

Computational Linguistics 52

Computational Linguistics Linked Data Chatbots NLP 52

Applied Data Science

DECEMBER 23, 2022

In our review of 2019 we talked a lot about reinforcement learning and Generative Adversarial Networks (GANs), in 2020 we focused on Natural Language Processing (NLP) and algorithmic bias, in 202 1 Transformers stole the spotlight. As humans we do not know exactly how we learn language: it just happens.

Neural Network 52

Neural Network Data Science AI AI 52

Sebastian Ruder

DECEMBER 6, 2021

Such domains are most common in industry as domain-specific chatbots are increasingly used by companies to respond to users queries but associated datasets are rarely made available. Among current key applications of NLP, QA has the lowest linguistic global utility, i.e. performance averaged across the world's languages ( Blasi et al.,

BERT 52

BERT NLP Natural Language Processing Computational Linguistics 52

Mlearning.ai

FEBRUARY 6, 2023

People won't be able to cheat using chatbots with these tools around, right? In this article, I am to break down some of these issues around model-based chatbot detection. The first problem is when someone simply takes inspiration from a chatbot or heavily paraphrases the chatbot [3].

Explainable AI 52

Explainable AI Explainability ChatGPT Chatbots 52

AWS Machine Learning Blog

AUGUST 8, 2024

By integrating LLMs, the WxAI team enables advanced capabilities such as intelligent virtual assistants, natural language processing (NLP), and sentiment analysis, allowing Webex Contact Center to provide more personalized and efficient customer support.

Generative AI 133

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ML @ CMU

SEPTEMBER 22, 2023

However, these efforts are sometimes ad-hoc, depend heavily on human creativity, and often lack coverage, as evidenced by issues in recent high-profile deployments such as Microsoft’s AI-powered search engine: Bing , and Google’s chatbot service: Bard. Trends Human Computer Interaction. [2] Adaptive Testing and Debugging of NLP Models.

Computational Linguistics 105

Computational Linguistics LLM Large Language Models Algorithm 105

ODSC - Open Data Science

MARCH 6, 2024

I’m excited to see you at ODSC East 2024! — — — — — — — — — — — – About the Author: Madiha Shakil Mirza is an AI Engineer with a research background and consulting experience in Natural Language Processing (NLP), Generative AI, Machine Learning, and Deep Learning across various industries.

Responsible AI 52

Responsible AI Generative AI Natural Language Processing Artificial Intelligence 52

Ehud Reiter

DECEMBER 15, 2024

And partially because Chapter 7 discusses Francesco’s evaluation of the system in real-world clinical usage; this kind of evaluation is very rare in NLP (and its just in the thesis, its not described in any of Francesco’s papers). Linguistically Communicating Uncertainty in Patient-Facing Risk Prediction Models.

NLP 111

NLP Computational Linguistics Explainability Machine Learning 111