Search Results for author: Max Glockner

Found 5 papers, 5 papers with code

Missing Counter-Evidence Renders NLP Fact-Checking Unrealistic for Misinformation

1 code implementation25 Oct 2022 Max Glockner, Yufang Hou, Iryna Gurevych

In our analysis, we show that, by design, existing NLP task definitions for fact-checking cannot refute misinformation as professional fact-checkers do for the majority of claims.

Fact Checking Misinformation

AdapterDrop: On the Efficiency of Adapters in Transformers

1 code implementation EMNLP 2021 Andreas Rücklé, Gregor Geigle, Max Glockner, Tilman Beck, Jonas Pfeiffer, Nils Reimers, Iryna Gurevych

Massively pre-trained transformer models are computationally expensive to fine-tune, slow for inference, and have large storage requirements.

Why do you think that? Exploring Faithful Sentence-Level Rationales Without Supervision

1 code implementation Findings of the Association for Computational Linguistics 2020 Max Glockner, Ivan Habernal, Iryna Gurevych

We propose a differentiable training-framework to create models which output faithful rationales on a sentence level, by solely applying supervision on the target task.

Decision Making Sentence

Breaking NLI Systems with Sentences that Require Simple Lexical Inferences

2 code implementations ACL 2018 Max Glockner, Vered Shwartz, Yoav Goldberg

We create a new NLI test set that shows the deficiency of state-of-the-art models in inferences that require lexical and world knowledge.

World Knowledge

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