timoschick Goto Github PK
Name: Timo Schick
Type: User
Bio: NLP Researcher
Twitter: timo_schick
Location: Munich, Germany
Name: Timo Schick
Type: User
Bio: NLP Researcher
Twitter: timo_schick
Location: Munich, Germany
This repository contains the WordNet Language Model Probing (WNLaMPro) dataset introduced in "Rare Words: A Major Problem for Contextualized Embeddings and How to Fix it by Attentive Mimicking".
This is a Java-based implementation of the AMR-to-text generator introduced in "Transition-Based Generation from Abstract Meaning Representations".
This repository contains the code for "BERTRAM: Improved Word Embeddings Have Big Impact on Contextualized Representations".
This repository contains the code for "Generating Datasets with Pretrained Language Models".
This repository contains the FewGLUE dataset for few-shot natural language understanding.
This repository contains the code for the Form-Context Model and its Attentive Mimicking variant.
This repository contains the code for applying One-Token Approximation to a pretrained language model using subword-level tokenization.
This repository contains the code for "Exploiting Cloze Questions for Few-Shot Text Classification and Natural Language Inference"
This repository contains the code for "Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP".
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