activity
19942023
most citedVALSE: A Task-Independent Benchmark for Vision and Language Models Centered on Linguistic Phenomena

55 citations · 193 across the 33 of their papers we have counts for

collaborators

40 papers

cs.CL2023

Graecia capta ferum victorem cepit. Detecting Latin Allusions to Ancient Greek Literature

Frederick Riemenschneider, Anette Frank

Intertextual allusions hold a pivotal role in Classical Philology, with Latin authors frequently referencing Ancient Greek texts. Until now, the automatic identification of these i…

cs.CL2023★ 2 cited

AMR4NLI: Interpretable and robust NLI measures from semantic graphs

Juri Opitz, Shira Wein, Julius Steen +2

The task of natural language inference (NLI) asks whether a given premise (expressed in NL) entails a given NL hypothesis. NLI benchmarks contain human ratings of entailment, but t…

cs.CL2023

With a Little Push, NLI Models can Robustly and Efficiently Predict Faithfulness

Julius Steen, Juri Opitz, Anette Frank +1

Conditional language models still generate unfaithful output that is not supported by their input. These unfaithful generations jeopardize trust in real-world applications such as…

cs.CL2023

SETI: Systematicity Evaluation of Textual Inference

Xiyan Fu, Anette Frank

We propose SETI (Systematicity Evaluation of Textual Inference), a novel and comprehensive benchmark designed for evaluating pre-trained language models (PLMs) for their systematic…

cs.CL2023★ 1 cited

Exploring Large Language Models for Classical Philology

Frederick Riemenschneider, Anette Frank

Recent advances in NLP have led to the creation of powerful language models for many languages including Ancient Greek and Latin. While prior work on Classical languages unanimousl…

cs.CL2023

Similarity-weighted Construction of Contextualized Commonsense Knowledge Graphs for Knowledge-intense Argumentation Tasks

Moritz Plenz, Juri Opitz, Philipp Heinisch +2

Arguments often do not make explicit how a conclusion follows from its premises. To compensate for this lack, we enrich arguments with structured background knowledge to support kn…