QUESTION ANSWER ARCHITECTURES – SQUAD 2.0 + U-NET
Stanford Question Answering Dataset (SQuAD) is a reading comprehension dataset, consisting of questions posed by crowdworkers on a set of Wikipedia articles, where the answer to every question is a segment of text, or span, from the corresponding reading passage, or the question might be unanswerable.
Artilce provides easy intro into NLP, covering very basic methods and defenitions.
Link: https://betterlearningforlife.com/2018/11/16/question-answer-architectures-squad-2-0-u-net/
#NLP #QA #SQuAD #novice
Stanford Question Answering Dataset (SQuAD) is a reading comprehension dataset, consisting of questions posed by crowdworkers on a set of Wikipedia articles, where the answer to every question is a segment of text, or span, from the corresponding reading passage, or the question might be unanswerable.
Artilce provides easy intro into NLP, covering very basic methods and defenitions.
Link: https://betterlearningforlife.com/2018/11/16/question-answer-architectures-squad-2-0-u-net/
#NLP #QA #SQuAD #novice
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.
SberQuAD creators generally followed a procedure described by the SQuAD authors, which resulted in the similarly high lexical overlap between questions and sentences with answers.
paper: https://arxiv.org/abs/1912.09723
link to SDSJ Task B dataset: http://files.deeppavlov.ai/datasets/sber_squad-v1.1.tar.gz
#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.
SberQuAD creators generally followed a procedure described by the SQuAD authors, which resulted in the similarly high lexical overlap between questions and sentences with answers.
paper: https://arxiv.org/abs/1912.09723
link to SDSJ Task B dataset: http://files.deeppavlov.ai/datasets/sber_squad-v1.1.tar.gz
