10 citations · 12 across the 5 of their papers we have counts for
8 papers
BrightCookies at SemEval-2025 Task 9: Exploring Data Augmentation for Food Hazard Classification
Foteini Papadopoulou, Osman Mutlu, Neris Özen +3
This paper presents our system developed for the SemEval-2025 Task 9: The Food Hazard Detection Challenge. The shared task's objective is to evaluate explainable classification sys…
Federated learning in food research
Zuzanna Fendor, Bas H. M. van der Velden, Xinxin Wang +3
Research in the food domain is at times limited due to data sharing obstacles, such as data ownership, privacy requirements, and regulations. While important, these obstacles can r…
Event Causality Identification with Causal News Corpus -- Shared Task 3, CASE 2022
Fiona Anting Tan, Hansi Hettiarachchi, Ali Hürriyetoğlu +4
The Event Causality Identification Shared Task of CASE 2022 involved two subtasks working on the Causal News Corpus. Subtask 1 required participants to predict if a sentence contai…
Extended Multilingual Protest News Detection -- Shared Task 1, CASE 2021 and 2022
Ali Hürriyetoğlu, Osman Mutlu, Fırat Duruşan +12
We report results of the CASE 2022 Shared Task 1 on Multilingual Protest Event Detection. This task is a continuation of CASE 2021 that consists of four subtasks that are i) docume…
The Causal News Corpus: Annotating Causal Relations in Event Sentences from News
Fiona Anting Tan, Ali Hürriyetoğlu, Tommaso Caselli +7
Despite the importance of understanding causality, corpora addressing causal relations are limited. There is a discrepancy between existing annotation guidelines of event causality…
Event Coreference Resolution for Contentious Politics Events
Ali Hürriyetoğlu, Osman Mutlu, Fatih Beyhan +4
We propose a dataset for event coreference resolution, which is based on random samples drawn from multiple sources, languages, and countries. Early scholarship on event informatio…
COVCOR20 at WNUT-2020 Task 2: An Attempt to Combine Deep Learning and Expert rules
Ali Hürriyetoğlu, Ali Safaya, Nelleke Oostdijk +2
In the scope of WNUT-2020 Task 2, we developed various text classification systems, using deep learning models and one using linguistically informed rules. While both of the deep l…
Unraveling reported dreams with text analytics
Iris Hendrickx, Louis Onrust, Florian Kunneman +3
We investigate what distinguishes reported dreams from other personal narratives. The continuity hypothesis, stemming from psychological dream analysis work, states that most dream…