Natural Language
Natural language processing (NLP) focuses on enabling computers to understand, interpret, and generate human language. Current research heavily utilizes large language models (LLMs), such as BERT and others, to tackle diverse tasks including text-to-SQL translation, semantic analysis of images, and even controlling robots via natural language commands. The field's impact spans various sectors, from improving search engines and e-commerce platforms to advancing healthcare diagnostics and facilitating more efficient scientific research through automated literature analysis and data extraction.
Papers
Beyond Counting Datasets: A Survey of Multilingual Dataset Construction and Necessary Resources
Xinyan Velocity Yu, Akari Asai, Trina Chatterjee, Junjie Hu, Eunsol Choi
Revisiting Distance Metric Learning for Few-Shot Natural Language Classification
Witold Sosnowski, Anna Wróblewska, Karolina Seweryn, Piotr Gawrysiak
Envisioning a Human-AI collaborative system to transform policies into decision models
Vanessa Lopez, Gabriele Picco, Inge Vejsbjerg, Thanh Lam Hoang, Yufang Hou, Marco Luca Sbodio, John Segrave-Daly, Denisa Moga, Sean Swords, Miao Wei, Eoin Carroll
Natural Language Deduction with Incomplete Information
Zayne Sprague, Kaj Bostrom, Swarat Chaudhuri, Greg Durrett