CLIC, a new 2,907-headline Croatian clickbait dataset, shows about 53% of sampled headlines are clickbait and fine-tuned BERTić (F1 0.78) beats zero/few-shot LLMs on detection.
TakeLab Retriever: AI-Driven Search Engine for Articles from Croatian News Outlets
1 Pith paper cite this work. Polarity classification is still indexing.
abstract
TakeLab Retriever is an AI-driven search engine designed to discover, collect, and semantically analyze news articles from Croatian news outlets. It offers a unique perspective on the history and current landscape of Croatian online news media, making it an essential tool for researchers seeking to uncover trends, patterns, and correlations that general-purpose search engines cannot provide. TakeLab retriever utilizes cutting-edge natural language processing (NLP) methods, enabling users to sift through articles using named entities, phrases, and topics through the web application. This technical report is divided into two parts: the first explains how TakeLab Retriever is utilized, while the second provides a detailed account of its design. In the second part, we also address the software engineering challenges involved and propose solutions for developing a microservice-based semantic search engine capable of handling over ten million news articles published over the past two decades.
fields
cs.CL 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
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What Makes You CLIC: Detection of Croatian Clickbait Headlines
CLIC, a new 2,907-headline Croatian clickbait dataset, shows about 53% of sampled headlines are clickbait and fine-tuned BERTić (F1 0.78) beats zero/few-shot LLMs on detection.