Search Results for author:
Found 3 papers, 1 papers with code
KazQAD: Kazakh Open-Domain Question Answering Dataset
We introduce KazQAD -- a Kazakh open-domain question answering (ODQA) dataset -- that can be used in both reading comprehension and full ODQA settings, as well as for information retrieval experiments.
The Impact of Cross-Lingual Adjustment of Contextual Word Representations on Zero-Shot Transfer
Our study reproduced gains in NLI for four languages, showed improved NER, XSR, and cross-lingual QA results in three languages (though some cross-lingual QA gains were not statistically significant), while mono-lingual QA performance never improved and sometimes degraded.
SberQuAD -- Russian Reading Comprehension Dataset: Description and Analysis
SberQuAD -- a large scale analog of Stanford SQuAD in the Russian language - is a valuable resource that has not been properly presented to the scientific community.
Ranked #1 on
Question Answering
on SberQuAD
