Adina Williams: Using human perspectives to understand NLI 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
The Language System in the Human Mind and Brain
ENT-Rank: Finding Relevant Entities through Text and Knowledge Graph
CMU Advanced NLP 2021 (4): Text Classification
CMU Advanced NLP 2021 (3): Language Modeling and Neural Networks
CMU Neural Nets for NLP 2021 (8): Distributional Semantics and Word Vectors
What is wrong with my model? Detection and analysis of bugs in NLP models
Christopher Potts:Towards more Meaningful Benchmarks for NL Understanding
CMU Neural Nets for NLP 2021 (22): Bias in NLP
Alon Lavie: COMET: a Neural Framework for State-of-the-art MT Evaluation
NN4NLP (14) Margin-based and Reinforcement Learning for Structured Prediction
CMU CS 11-747 Neural Nets for NLP 2021 (1): Introduction
Intuitive Reasoning as (Un)supervised Neural Generation
Pressure to Communicate Across Knowledge Asymmetries Leads to Supportive Lang In
CMU Neural Nets for NLP 2021 (13): Generating Trees and Graphs
Hope Speech and Help Speech Surfacing Positivity Amidst Hate
CMU Neural Nets for NLP 2021 (15): Sequence-to-sequence Pre-training
CMU Neural Nets for NLP 2021 (20): Models w/ Latent Random Variables
