Adina Williams: Using human perspectives to understand NLI models
CMU Neural Nets for NLP 2021 (2): Language Modeling, Efficiency/Training Tricks
ENT-Rank: Finding Relevant Entities through Text and Knowledge Graph
The Language System in the Human Mind and Brain
CMU Neural Nets for NLP 2021 (10): Debugging Neural Nets (for NLP)
Christopher Potts:Towards more Meaningful Benchmarks for NL Understanding
CMU Advanced NLP 2021 (3): Language Modeling and Neural Networks
CMU Neural Nets for NLP 2021 (8): Distributional Semantics and Word Vectors
CMU Advanced NLP 2021 (4): Text Classification
NN4NLP (14) Margin-based and Reinforcement Learning for Structured Prediction
What is wrong with my model? Detection and analysis of bugs in NLP models
CMU CS 11-747 Neural Nets for NLP 2021 (1): Introduction
CMU Neural Nets for NLP 2021 (22): Bias in NLP
Alon Lavie: COMET: a Neural Framework for State-of-the-art MT Evaluation
Show and Tell: Connecting Images and Text for Natural Communication
CMU Neural Nets for NLP 2021 (15): Sequence-to-sequence Pre-training
CMU Neural Nets for NLP 2021 (13): Generating Trees and Graphs
CMU Neural Nets for NLP 2021 (21): Multilingual Learning
Intuitive Reasoning as (Un)supervised Neural Generation
CMU NN for NLP 2021 (3): Building A Neural Network Toolkit for NLP, minnn
