Barbara Plank

This study examines how well dialogue systems handle German dialects.

Exploring how judges' disagreements can improve AI predictions in legal outcomes.

Survey reveals dialect speakers' needs for language technology.

A study comparing how language models and humans approach deductive reasoning tasks.

This study examines errors and variations in labeled data for machine learning.

Comprehensive rules for annotating the Bavarian language corpus.

MaiBaam treebank offers valuable data for studying Bavarian dialect.

New dataset and methods enhance NER for Bavarian dialect recognition.

A review of how LLMs handle reasoning tasks and their limitations.

A method to reduce the size of large language models while maintaining their performance.

Exploring three approaches for identifying product attributes and values in e-commerce.

This article investigates how language models handle ambiguous terms and their response consistency.

Exploring effective methods for identifying product features in e-commerce.

MultiClimate dataset reveals public stances on climate change through videos.

Are NLI tasks still relevant for testing large language models?

A fresh approach to understanding dialects through pixel-based language models.

Explore how cross-dialect information retrieval connects diverse German dialects.

Research reveals challenges visual language models face with ambiguity in communication.

A new dataset reshaping how we predict career moves.