Marie-Catherine de Marneffe on understanding your data

Mon, 07 Nov 2022 00:07:00 -0800

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