Marie-Catherine de Marneffe on understanding your data CS224U

Leaving Ohio, being back in Belgium, organizing NAACL 2022, reviewing at NLP-scale, universal dependencies, and doing NLU before it was cool.

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


Marie's website
Generating Typed Dependency Parses from Phrase Structure Parses
Universal Dependencies project
OSU Linguistics
NAACL 2022
Dan Jurafsky
Dan Roth
Chris Manning
ARR
Priscilla Rasmussen
Transactions of the ACL
Finding Contradictions in Text
Not a simple yes or no: Uncertainty in indirect answers
Recognizing Textual Entailment
Anna Rafferty
Scott Grimm
"Was It Good? It Was Provocative." Learning the Meaning of Scalar Adjectives
Did It Happen? The Pragmatic Complexity of Veridicality Assessment
Yejin Choi
Yejin Choi's ACl 2022 talk
Barbara Plank
Linguistically debatable or just plain wrong?
Jesse Dodge
Reproducibility badges at NAACL 2022
Stanford Sentiment Treebank
Judith Tonhauser
Nan-Jiang Jiang
Lauri Karttunen
Climbing towards NLU: On Meaning, Form, and Understanding in the Age of Data
Microsoft DeBERTa surpasses human performance on the SuperGLUE benchmark
Daniel Zeman
Marta Recasens