We introduce MKQA, an open-domain question answering evaluation set comprising 10k question-answer pairs aligned across 26 typologically diverse languages (260k question-answer pairs in total). The goal of this dataset is to provide a challenging benchmark for question answering quality across a wide set of languages. Please refer to our paper f…
A Turkish question answering system made by fine-tuning BERTurk and XLM-Roberta models.
A Turkish question answering system made by fine-tuning BERTurk and XLM-Roberta models.
Retrieve tweets from Twitter API with tweet ID
Code for the paper accepted at COLING 2025: "Cross-Refine: Improving Natural Language Explanation Generation by Learning in Tandem" (Wang et al., 2025)
Paradigmatic term clusters in multiple languages - a resource for evaluating word spaces and word embeddings
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