5 papers
Leveraging LLMs For Turkish Skill Extraction
Ezgi Arslan İltüzer, Özgür Anıl Özlü, Vahid Farajijobehdar +1
Skill extraction is a critical component of modern recruitment systems, enabling efficient job matching, personalized recommendations, and labor market analysis. Despite Türkiye's…
CorefInst: Leveraging LLMs for Multilingual Coreference Resolution
Tuğba Pamay Arslan, Emircan Erol, Gülşen Eryiğit
Coreference Resolution (CR) is a crucial yet challenging task in natural language understanding, often constrained by task-specific architectures and encoder-based language models…
ITUNLP at SemEval-2025 Task 8: Question-Answering over Tabular Data: A Zero-Shot Approach using LLM-Driven Code Generation
Atakan Site, Emre Hakan Erdemir, Gülşen Eryiğit
This paper presents our system for SemEval-2025 Task 8: DataBench, Question-Answering over Tabular Data. The primary objective of this task is to perform question answering on give…
ViBERTgrid BiLSTM-CRF: Multimodal Key Information Extraction from Unstructured Financial Documents
Furkan Pala, Mehmet Yasin Akpınar, Onur Deniz +1
Multimodal key information extraction (KIE) models have been studied extensively on semi-structured documents. However, their investigation on unstructured documents is an emerging…
Citation Recommendation on Scholarly Legal Articles
Doğukan Arslan, Saadet Sena Erdoğan, Gülşen Eryiğit
Citation recommendation is the task of finding appropriate citations based on a given piece of text. The proposed datasets for this task consist mainly of several scientific fields…