1 citations · 6 across the 30 of their papers we have counts for
15 papers · 1 filter
Evaluating Pixel Language Models on Non-Standardized Languages
Alberto Muñoz-Ortiz, Verena Blaschke, Barbara Plank
We explore the potential of pixel-based models for transfer learning from standard languages to dialects. These models convert text into images that are divided into patches, enabl…
A Rose by Any Other Name: LLM-Generated Explanations Are Good Proxies for Human Explanations to Collect Label Distributions on NLI
Beiduo Chen, Siyao Peng, Anna Korhonen +1
Disagreement in human labeling is ubiquitous, and can be captured in human judgment distributions (HJDs). Recent research has shown that explanations provide valuable information f…
MultiClimate: Multimodal Stance Detection on Climate Change Videos
Jiawen Wang, Longfei Zuo, Siyao Peng +1
Climate change (CC) has attracted increasing attention in NLP in recent years. However, detecting the stance on CC in multimodal data is understudied and remains challenging due to…
Exploring Large Language Models for Product Attribute Value Identification
Kassem Sabeh, Mouna Kacimi, Johann Gamper +2
Product attribute value identification (PAVI) involves automatically identifying attributes and their values from product information, enabling features like product search, recomm…
An Empirical Comparison of Generative Approaches for Product Attribute-Value Identification
Kassem Sabeh, Robert Litschko, Mouna Kacimi +2
Product attributes are crucial for e-commerce platforms, supporting applications like search, recommendation, and question answering. The task of Product Attribute and Value Identi…
CLIMATELI: Evaluating Entity Linking on Climate Change Data
Shijia Zhou, Siyao Peng, Barbara Plank
Climate Change (CC) is a pressing topic of global importance, attracting increasing attention across research fields, from social sciences to Natural Language Processing (NLP). CC…
"Seeing the Big through the Small": Can LLMs Approximate Human Judgment Distributions on NLI from a Few Explanations?
Beiduo Chen, Xinpeng Wang, Siyao Peng +3
Human label variation (HLV) is a valuable source of information that arises when multiple human annotators provide different labels for valid reasons. In Natural Language Inference…
MaiNLP at SemEval-2024 Task 1: Analyzing Source Language Selection in Cross-Lingual Textual Relatedness
Shijia Zhou, Huangyan Shan, Barbara Plank +1
This paper presents our system developed for the SemEval-2024 Task 1: Semantic Textual Relatedness (STR), on Track C: Cross-lingual. The task aims to detect semantic relatedness of…
Sebastian, Basti, Wastl?! Recognizing Named Entities in Bavarian Dialectal Data
Siyao Peng, Zihang Sun, Huangyan Shan +4
Named Entity Recognition (NER) is a fundamental task to extract key information from texts, but annotated resources are scarce for dialects. This paper introduces the first dialect…
MaiBaam: A Multi-Dialectal Bavarian Universal Dependency Treebank
Verena Blaschke, Barbara Kovačić, Siyao Peng +2
Despite the success of the Universal Dependencies (UD) project exemplified by its impressive language breadth, there is still a lack in `within-language breadth': most treebanks fo…
MaiBaam Annotation Guidelines
Verena Blaschke, Barbara Kovačić, Siyao Peng +1
This document provides the annotation guidelines for MaiBaam, a Bavarian corpus manually annotated with part-of-speech (POS) tags, syntactic dependencies, and German lemmas. MaiBaa…
VariErr NLI: Separating Annotation Error from Human Label Variation
Leon Weber-Genzel, Siyao Peng, Marie-Catherine de Marneffe +1
Human label variation arises when annotators assign different labels to the same item for valid reasons, while annotation errors occur when labels are assigned for invalid reasons.…
Exploring the Robustness of Task-oriented Dialogue Systems for Colloquial German Varieties
Ekaterina Artemova, Verena Blaschke, Barbara Plank
Mainstream cross-lingual task-oriented dialogue (ToD) systems leverage the transfer learning paradigm by training a joint model for intent recognition and slot-filling in English a…
Different Tastes of Entities: Investigating Human Label Variation in Named Entity Annotations
Siyao Peng, Zihang Sun, Sebastian Loftus +1
Named Entity Recognition (NER) is a key information extraction task with a long-standing tradition. While recent studies address and aim to correct annotation errors via re-labelin…
What Do Dialect Speakers Want? A Survey of Attitudes Towards Language Technology for German Dialects
Verena Blaschke, Christoph Purschke, Hinrich Schütze +1
Natural language processing (NLP) has largely focused on modelling standardized languages. More recently, attention has increasingly shifted to local, non-standardized languages an…