10 citations · 21 across the 15 of their papers we have counts for
12 papers · 1 filter
Do LLMs Provide Consistent Answers to Health-Related Questions across Languages?
Ipek Baris Schlicht, Zhixue Zhao, Burcu Sayin +2
Equitable access to reliable health information is vital for public health, but the quality of online health resources varies by language, raising concerns about inconsistencies in…
Pitfalls of Conversational LLMs on News Debiasing
Ipek Baris Schlicht, Defne Altiok, Maryanne Taouk +1
This paper addresses debiasing in news editing and evaluates the effectiveness of conversational Large Language Models in this task. We designed an evaluation checklist tailored to…
Spot: A Natural Language Interface for Geospatial Searches in OSM
Lynn Khellaf, Ipek Baris Schlicht, Julia Bayer +3
Investigative journalists and fact-checkers have found OpenStreetMap (OSM) to be an invaluable resource for their work due to its extensive coverage and intricate details of variou…
DWReCO at CheckThat! 2023: Enhancing Subjectivity Detection through Style-based Data Sampling
Ipek Baris Schlicht, Lynn Khellaf, Defne Altiok
This paper describes our submission for the subjectivity detection task at the CheckThat! Lab. To tackle class imbalances in the task, we have generated additional training materia…
Multilingual Detection of Check-Worthy Claims using World Languages and Adapter Fusion
Ipek Baris Schlicht, Lucie Flek, Paolo Rosso
Check-worthiness detection is the task of identifying claims, worthy to be investigated by fact-checkers. Resource scarcity for non-world languages and model learning costs remain…
Sexism Prediction in Spanish and English Tweets Using Monolingual and Multilingual BERT and Ensemble Models
Angel Felipe Magnossão de Paula, Roberto Fray da Silva, Ipek Baris Schlicht
The popularity of social media has created problems such as hate speech and sexism. The identification and classification of sexism in social media are very relevant tasks, as they…
AI-UPV at IberLEF-2021 DETOXIS task: Toxicity Detection in Immigration-Related Web News Comments Using Transformers and Statistical Models
Angel Felipe Magnossão de Paula, Ipek Baris Schlicht
This paper describes our participation in the DEtection of TOXicity in comments In Spanish (DETOXIS) shared task 2021 at the 3rd Workshop on Iberian Languages Evaluation Forum. The…
Unified and Multilingual Author Profiling for Detecting Haters
Ipek Baris Schlicht, Angel Felipe Magnossão de Paula
This paper presents a unified user profiling framework to identify hate speech spreaders by processing their tweets regardless of the language. The framework encodes the tweets wit…
UPV at CheckThat! 2021: Mitigating Cultural Differences for Identifying Multilingual Check-worthy Claims
Ipek Baris Schlicht, Angel Felipe Magnossão de Paula, Paolo Rosso
Identifying check-worthy claims is often the first step of automated fact-checking systems. Tackling this task in a multilingual setting has been understudied. Encoding inputs with…
Leveraging Commonsense Knowledge on Classifying False News and Determining Checkworthiness of Claims
Ipek Baris Schlicht, Erhan Sezerer, Selma Tekir +2
Widespread and rapid dissemination of false news has made fact-checking an indispensable requirement. Given its time-consuming and labor-intensive nature, the task calls for an aut…
ECOL: Early Detection of COVID Lies Using Content, Prior Knowledge and Source Information
Ipek Baris, Zeyd Boukhers
Social media platforms are vulnerable to fake news dissemination, which causes negative consequences such as panic and wrong medication in the healthcare domain. Therefore, it is i…
CLEARumor at SemEval-2019 Task 7: ConvoLving ELMo Against Rumors
Ipek Baris, Lukas Schmelzeisen, Steffen Staab
This paper describes our submission to SemEval-2019 Task 7: RumourEval: Determining Rumor Veracity and Support for Rumors. We participated in both subtasks. The goal of subtask A i…