activity
20162024
most citedGetting Started with Neural Models for Semantic Matching in Web Search

3 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2024

A Survey of Anomaly Detection in In-Vehicle Networks

Övgü Özdemir, M. Tuğberk İşyapar, Pınar Karagöz +3

Modern vehicles are equipped with Electronic Control Units (ECU) that are used for controlling important vehicle functions including safety-critical operations. ECUs exchange infor…

cs.CL2024

Cross-Lingual Learning vs. Low-Resource Fine-Tuning: A Case Study with Fact-Checking in Turkish

Recep Firat Cekinel, Pinar Karagoz, Cagri Coltekin

The rapid spread of misinformation through social media platforms has raised concerns regarding its impact on public opinion. While misinformation is prevalent in other languages,…

cs.CL2024

Explaining Veracity Predictions with Evidence Summarization: A Multi-Task Model Approach

Recep Firat Cekinel, Pinar Karagoz

The rapid dissemination of misinformation through social media increased the importance of automated fact-checking. Furthermore, studies on what deep neural models pay attention to…

cs.SI2023

Event Detection on Twitter

Ozlem Ceren Sahin, Nesime Tatbul, Pinar Karagoz

Detecting events by using social media has been an active research problem. In this work, we investigate and compare the performance of two methods for event detection in Twitter b…

cs.IR20163 cited

Getting Started with Neural Models for Semantic Matching in Web Search

Kezban Dilek Onal, Ismail Sengor Altingovde, Pinar Karagoz +1

The vocabulary mismatch problem is a long-standing problem in information retrieval. Semantic matching holds the promise of solving the problem. Recent advances in language technol…