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Found 4 papers, 1 papers with code
Cross-Lingual Learning vs. Low-Resource Fine-Tuning: A Case Study with Fact-Checking in Turkish
While misinformation is prevalent in other languages, the majority of research in this field has concentrated on the English language.
Explaining Veracity Predictions with Evidence Summarization: A Multi-Task Model Approach
The rapid dissemination of misinformation through social media increased the importance of automated fact-checking.
Investigating the Effect of Segmentation Methods on Neural Model based Sentiment Analysis on Informal Short Texts in Turkish
The second stage focuses on evaluation of the neural model for sentiment analysis.
Getting Started with Neural Models for Semantic Matching in Web Search
We detail the required background and terminology, a taxonomy grouping the rapidly growing body of work in the area, and then survey work on neural models for semantic matching in the context of three tasks: query suggestion, ad retrieval, and document retrieval.
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