activity
20192025
most citedThe ADAPT Enhanced Dependency Parser at the IWPT 2020 Shared Task

6 citations · 6 across the 5 of their papers we have counts for

collaborators

8 papers

cs.AI2025

SynBullying: A Multi LLM Synthetic Conversational Dataset for Cyberbullying Detection

Arefeh Kazemi, Hamza Qadeer, Joachim Wagner +3

We introduce SynBullying, a synthetic multi-LLM conversational dataset for studying and detecting cyberbullying (CB). SynBullying provides a scalable and ethically safe alternative…

cs.CL2025

Synthetic vs. Gold: The Role of LLM Generated Labels and Data in Cyberbullying Detection

Arefeh Kazemi, Sri Balaaji Natarajan Kalaivendan, Joachim Wagner +3

Cyberbullying (CB) presents a pressing threat, especially to children, underscoring the urgent need for robust detection systems to ensure online safety. While large-scale datasets…

cs.CL2021

Revisiting Tri-training of Dependency Parsers

Joachim Wagner, Jennifer Foster

We compare two orthogonal semi-supervised learning techniques, namely tri-training and pretrained word embeddings, in the task of dependency parsing. We explore language-specific F…

cs.CL2021

The DCU-EPFL Enhanced Dependency Parser at the IWPT 2021 Shared Task

James Barry, Alireza Mohammadshahi, Joachim Wagner +2

We describe the DCU-EPFL submission to the IWPT 2021 Shared Task on Parsing into Enhanced Universal Dependencies. The task involves parsing Enhanced UD graphs, which are an extensi…

cs.CL2021

gaBERT -- an Irish Language Model

James Barry, Joachim Wagner, Lauren Cassidy +5

The BERT family of neural language models have become highly popular due to their ability to provide sequences of text with rich context-sensitive token encodings which are able to…

cs.CL2020★ 6 cited

The ADAPT Enhanced Dependency Parser at the IWPT 2020 Shared Task

James Barry, Joachim Wagner, Jennifer Foster

We describe the ADAPT system for the 2020 IWPT Shared Task on parsing enhanced Universal Dependencies in 17 languages. We implement a pipeline approach using UDPipe and UDPipe-futu…

cs.CL2020

Treebank Embedding Vectors for Out-of-domain Dependency Parsing

Joachim Wagner, James Barry, Jennifer Foster

A recent advance in monolingual dependency parsing is the idea of a treebank embedding vector, which allows all treebanks for a particular language to be used as training data whil…

cs.CL2019

Cross-lingual Parsing with Polyglot Training and Multi-treebank Learning: A Faroese Case Study

James Barry, Joachim Wagner, Jennifer Foster

Cross-lingual dependency parsing involves transferring syntactic knowledge from one language to another. It is a crucial component for inducing dependency parsers in low-resource s…