Papers
1,288 papers found
Teaching NLP with Bracelets and Restaurant Menus: An Interactive Workshop for Italian Students
Ludovica Pannitto, Lucia Busso, Claudia Roberta Combei et al.
Language Technology Initiative: Framework for Teaching NLP and Computational Linguistics at the Universities in Latvia
Inguna Skadina, Jana Kuzmina, Marina Platonova et al.
Teaching NLP in the AI Era: Experiences from the University of Latvia
Inguna Skadina, Guntis Barzdins, Uldis Bojārs et al.
From Sentiment to Interpretation: Teaching NLP for Literary Understanding Across Educational Contexts
Karl-Emil Kjær Bilstrup, Kirstine Nielsen Degn, Morten Schultz et al.
Novel or Drivel? Variants of Invariants for Teaching NLP in the LLM Era
Marius Micluța-Câmpeanu
Teaching Modern NLP and LLMs at Kyiv School of Economics: A Practice-Oriented Course with Ukrainian Language Focus
Roman Kyslyi, Anton Bazdyrev
Natural Language Processing 4 All (NLP4All): A New Online Platform for Teaching and Learning NLP Concepts
Rebekah Baglini, Hermes Hjorth
Interactive Assignments for Teaching Structured Neural NLP
David Gaddy, Daniel Fried, Nikita Kitaev et al.
Using NLP to Support English Teaching in Rural Schools
Luis Chiruzzo, Laura Musto, Santiago Gongora et al.
NLP Systems That Can’t Tell Use from Mention Censor Counterspeech, but Teaching the Distinction Helps
Kristina Gligoric, Myra Cheng, Lucia Zheng et al.
A Scalable Machine Learning Approach to Go
Lin Wu, Pierre F. Baldi
Map-Reduce for Machine Learning on Multicore
Cheng-tao Chu, Sang K. Kim, Yi-an Lin et al.
Balanced Graph Matching
Timothee Cour, Praveen Srinivasan, Jianbo Shi
Bundle Methods for Machine Learning
Quoc V. Le, Alex J. Smola, S.v.n. Vishwanathan
Theory of matching pursuit
Zakria Hussain, John S. Shawe-taylor
Spectral Hashing
Yair Weiss, Antonio Torralba, Rob Fergus
Adaptive Template Matching with Shift-Invariant Semi-NMF
Jonathan L. Roux, Alain D. Cheveigné, Lucas C. Parra
Distribution Matching for Transduction
Novi Quadrianto, James Petterson, Alex J. Smola
Deep Coding Network
Yuanqing Lin, Tong Zhang, Shenghuo Zhu et al.
A Machine Learning Approach to Predict Chemical Reactions
Matthew A. Kayala, Pierre F. Baldi