A multilingual, multi-style and multi-granularity dataset for cross-language textual similarity detection
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Updated
May 29, 2017
A multilingual, multi-style and multi-granularity dataset for cross-language textual similarity detection
Download the collection for TREC NeuCLIR Track 2022
Cross-Lingual Sentiment Analysis via Conditional Language Adversarial Training of Neural Networks.
A project showcasing the implementation of a task manager across multiple programming languages (Python, C++, C, Java, C#) to demonstrate versatility, cross-language communication, and problem-solving skills.
parallel annotated data for Relation Extraction and Paraphrase Identification in Persian
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