36 citations · 154 across the 55 of their papers we have counts for
32 papers · 1 filter
ChildSafeAds Shared Task 2026: Commercial Content in Child-Facing YouTube Videos
Thales Bertaglia, Catalina Goanta, Gerasimos Spanakis +1
ChildSafeAds is a shared task on commercial content in YouTube videos likely to reach children and teenagers. The dataset contains 3,360 videos from 939 channels, each starting wit…
A Study of Crosslinguistic Influence in Language Models
Abderrahmane Issam, Yusuf Can Semerci, Jan Scholtes +1
The sequential acquisition of languages inevitably leads to Crosslinguistic Influence (CLI), where the syntactic properties of a first language (L1) impact the processing of a seco…
Evaluating LLM-Generated Legal Explanations for Regulatory Compliance in Social Media Influencer Marketing
Haoyang Gui, Thales Bertaglia, Taylor Annabell +3
The rise of influencer marketing has blurred boundaries between organic content and sponsored content, making the enforcement of legal rules relating to transparency challenging. E…
DTW-Align: Bridging the Modality Gap in End-to-End Speech Translation with Dynamic Time Warping Alignment
Abderrahmane Issam, Yusuf Can Semerci, Jan Scholtes +1
End-to-End Speech Translation (E2E-ST) is the task of translating source speech directly into target text bypassing the intermediate transcription step. The representation discrepa…
You Are What You Train: Effects of Data Composition on Training Context-aware Machine Translation Models
Paweł Mąka, Yusuf Can Semerci, Jan Scholtes +1
Achieving human-level translations requires leveraging context to ensure coherence and handle complex phenomena like pronoun disambiguation. Sparsity of contextually rich examples…
Dutch CrowS-Pairs: Adapting a Challenge Dataset for Measuring Social Biases in Language Models for Dutch
Elza Strazda, Gerasimos Spanakis
Warning: This paper contains explicit statements of offensive stereotypes which might be upsetting. Language models are prone to exhibiting biases, further amplifying unfair and ha…
A Representation Level Analysis of NMT Model Robustness to Grammatical Errors
Abderrahmane Issam, Yusuf Can Semerci, Jan Scholtes +1
Understanding robustness is essential for building reliable NLP systems. Unfortunately, in the context of machine translation, previous work mainly focused on documenting robustnes…
MATCHED: Multimodal Authorship-Attribution To Combat Human Trafficking in Escort-Advertisement Data
Vageesh Saxena, Benjamin Bashpole, Gijs Van Dijck +1
Human trafficking (HT) remains a critical issue, with traffickers increasingly leveraging online escort advertisements (ads) to advertise victims anonymously. Existing detection me…
Analyzing the Attention Heads for Pronoun Disambiguation in Context-aware Machine Translation Models
Paweł Mąka, Yusuf Can Semerci, Jan Scholtes +1
In this paper, we investigate the role of attention heads in Context-aware Machine Translation models for pronoun disambiguation in the English-to-German and English-to-French lang…
LegalLens Shared Task 2024: Legal Violation Identification in Unstructured Text
Ben Hagag, Liav Harpaz, Gil Semo +5
This paper presents the results of the LegalLens Shared Task, focusing on detecting legal violations within text in the wild across two sub-tasks: LegalLens-NER for identifying leg…
Know When to Fuse: Investigating Non-English Hybrid Retrieval in the Legal Domain
Antoine Louis, Gijs van Dijck, Gerasimos Spanakis
Hybrid search has emerged as an effective strategy to offset the limitations of different matching paradigms, especially in out-of-domain contexts where notable improvements in ret…
Fixed and Adaptive Simultaneous Machine Translation Strategies Using Adapters
Abderrahmane Issam, Yusuf Can Semerci, Jan Scholtes +1
Simultaneous machine translation aims at solving the task of real-time translation by starting to translate before consuming the full input, which poses challenges in terms of bala…
ColBERT-XM: A Modular Multi-Vector Representation Model for Zero-Shot Multilingual Information Retrieval
Antoine Louis, Vageesh Saxena, Gijs van Dijck +1
State-of-the-art neural retrievers predominantly focus on high-resource languages like English, which impedes their adoption in retrieval scenarios involving other languages. Curre…
Sequence Shortening for Context-Aware Machine Translation
Paweł Mąka, Yusuf Can Semerci, Jan Scholtes +1
Context-aware Machine Translation aims to improve translations of sentences by incorporating surrounding sentences as context. Towards this task, two main architectures have been a…
Triple-Encoders: Representations That Fire Together, Wire Together
Justus-Jonas Erker, Florian Mai, Nils Reimers +2
Search-based dialog models typically re-encode the dialog history at every turn, incurring high cost. Curved Contrastive Learning, a representation learning method that encodes rel…
Larth: Dataset and Machine Translation for Etruscan
Gianluca Vico, Gerasimos Spanakis
Etruscan is an ancient language spoken in Italy from the 7th century BC to the 1st century AD. There are no native speakers of the language at the present day, and its resources ar…
Regulation and NLP (RegNLP): Taming Large Language Models
Catalina Goanta, Nikolaos Aletras, Ilias Chalkidis +2
The scientific innovation in Natural Language Processing (NLP) and more broadly in artificial intelligence (AI) is at its fastest pace to date. As large language models (LLMs) unle…
IDTraffickers: An Authorship Attribution Dataset to link and connect Potential Human-Trafficking Operations on Text Escort Advertisements
Vageesh Saxena, Benjamin Bashpole, Gijs Van Dijck +1
Human trafficking (HT) is a pervasive global issue affecting vulnerable individuals, violating their fundamental human rights. Investigations reveal that a significant number of HT…
Interpretable Long-Form Legal Question Answering with Retrieval-Augmented Large Language Models
Antoine Louis, Gijs van Dijck, Gerasimos Spanakis
Many individuals are likely to face a legal dispute at some point in their lives, but their lack of understanding of how to navigate these complex issues often renders them vulnera…
Closing the Loop: Testing ChatGPT to Generate Model Explanations to Improve Human Labelling of Sponsored Content on Social Media
Thales Bertaglia, Stefan Huber, Catalina Goanta +2
Regulatory bodies worldwide are intensifying their efforts to ensure transparency in influencer marketing on social media through instruments like the Unfair Commercial Practices D…
Imagination is All You Need! Curved Contrastive Learning for Abstract Sequence Modeling Utilized on Long Short-Term Dialogue Planning
Justus-Jonas Erker, Stefan Schaffer, Gerasimos Spanakis
Inspired by the curvature of space-time (Einstein, 1921), we introduce Curved Contrastive Learning (CCL), a novel representation learning technique for learning the relative turn d…
A Statutory Article Retrieval Dataset in French
Antoine Louis, Gerasimos Spanakis
Statutory article retrieval is the task of automatically retrieving law articles relevant to a legal question. While recent advances in natural language processing have sparked con…
Analysing The Impact Of Linguistic Features On Cross-Lingual Transfer
Błażej Dolicki, Gerasimos Spanakis
There is an increasing amount of evidence that in cases with little or no data in a target language, training on a different language can yield surprisingly good results. However,…
"Thy algorithm shalt not bear false witness": An Evaluation of Multiclass Debiasing Methods on Word Embeddings
Thalea Schlender, Gerasimos Spanakis
With the vast development and employment of artificial intelligence applications, research into the fairness of these algorithms has been increased. Specifically, in the natural la…