Neuroscience and neural networks, being a linguist in the world of NLP, evaluation methods, fine-grained NLI questions, the pace of research, and the vexing fact that, on the internet, people = men.

Transcript: https://web.stanford.edu/class/cs224u/podcast/williams/

Adina's website
Adina on Twitter
Based on billions of words on the internet, people = men
April Bailey
Andrei Cimpian
Androcentrism
GloVe
fastText
Preregistration
P-hacking
Rishi Bommasani
Interpreting pretrained contextualized representations via reductions to static embeddings
Common Crawl
Battlestar Galactica
MultiNLI
ANLI
DynaBench
Breaching experiment
Liina Pylkkänen
Sam Bowman
Nikita Nangia
Ludwig Wittgenstein
Ido Dagan
Sebastian Riedel
SNLI
Yixin Nie
Douwe Kiela
Jason Weston
Emily Dinan
Build it break it fix it for dialogue safety: Robustness from adversarial human attack
Allyson Ettinger
GLUE
DynaSent
DeBERTa
RoBERTa
Breaking NLI systems with sentences that require simple lexical inferences
HANS: Right for the wrong reasons: Diagnosing syntactic heuristics in natural language inference
Targeted syntactic evaluation of language models
Max Bartolo
Magnetoencephalography
Marr's Levels
Marco Baroni
Richard Futrell
Ryan Cotterell
SIGMORPHON 2022
Alexis Conneau
FLORES
XNLI
OCNLI: Original Chinese natural language inference
Yann LeCun
Novel Ideas in Learning-to-Learn through Interaction
Grounding semantics in olfactory perception
Brain in a vat
Ellie Pavlick
Tom Kwiatkowski
Mohit Bansal
Identifying inherent disagreement in natural language inference
DALL-E 2
Winoground
Gary Marcus on Winoground

Adina Williams on deep linguistic analysis in NLP

CS224U

Adina Williams on deep linguistic analysis in NLP