Papers by Alexander A. Khlyupin
Russian Jeopardy! Data Set for Question-Answering Systems (2022.lrec-1)
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| Challenge: | Question answering is one of the most common tasks in natural language processing . open-domain questions cover a wide range of topics and do not necessarily come in form of an actual question. |
| Approach: | They describe a Russian question-like question set collected from the Russian analogue of Jeopardy! They observe its linguistic features and the related QA-task. |
| Outcome: | The proposed data set includes 379,284 quiz-like questions with 29,375 from the Russian analogue of Jeopardy! |