Adina Williams: Using human perspectives to understand NLI models
Christopher Potts:Towards more Meaningful Benchmarks for NL Understanding
1. NMT and Speech Recognition for Fon; 2. NER for African Languages
Jesse Dunietz: To Test Machine Comprehension, Start by Defining Comprehension
What is wrong with my model? Detection and analysis of bugs in NLP models
CMU Advanced NLP 2021 (4): Text Classification
CMU Advanced NLP 2021 (2): Text Classification
Pressure to Communicate Across Knowledge Asymmetries Leads to Supportive Lang In
CMU Neural Nets for NLP 2021 (10): Debugging Neural Nets (for NLP)
CMU Neural Nets for NLP 2021 (23): Document-level Models
CMU Neural Nets for NLP 2021 (2): Language Modeling, Efficiency/Training Tricks
CMU Neural Nets for NLP 2021 (20): Models w/ Latent Random Variables
CMU Advanced NLP 2021 (3): Language Modeling and Neural Networks
CMU Neural Nets for NLP 2021 (21): Multilingual Learning
The Language System in the Human Mind and Brain
NN4NLP (14) Margin-based and Reinforcement Learning for Structured Prediction
CMU Advanced NLP 2021 (1): Introduction to NLP
Intuitive Reasoning as (Un)supervised Neural Generation
CMU Neural Nets for NLP 2021 (19): Adversarial Methods
Show and Tell: Connecting Images and Text for Natural Communication
