Christopher Potts:Towards more Meaningful Benchmarks for NL Understanding
Adina Williams: Using human perspectives to understand NLI models
What is wrong with my model? Detection and analysis of bugs in NLP models
CMU Neural Nets for NLP 2021 (10): Debugging Neural Nets (for NLP)
CMU Neural Nets for NLP 2021 (2): Language Modeling, Efficiency/Training Tricks
1. NMT and Speech Recognition for Fon; 2. NER for African Languages
Jesse Dunietz: To Test Machine Comprehension, Start by Defining Comprehension
NN4NLP (14) Margin-based and Reinforcement Learning for Structured Prediction
CMU Advanced NLP 2021 (3): Language Modeling and Neural Networks
CMU Neural Nets for NLP 2021 (20): Models w/ Latent Random Variables
CMU Neural Nets for NLP 2021 (17): Neural Nets + Knowledge Bases
CMU Advanced NLP 2021 (4): Text Classification
CMU Neural Nets for NLP 2021 (21): Multilingual Learning
CMU Neural Nets for NLP 2021 (8): Distributional Semantics and Word Vectors
CMU Neural Nets for NLP 2021 (22): Bias in NLP
Percy Liang: Taming Deep Models and on Shaping their Development
CMU NN for NLP 2021 (3): Building A Neural Network Toolkit for NLP, minnn
Hope Speech and Help Speech Surfacing Positivity Amidst Hate
CMU Neural Nets for NLP 2021 (15): Sequence-to-sequence Pre-training
Alon Lavie: COMET: a Neural Framework for State-of-the-art MT Evaluation
