Medi-CoQAConversational Question Answering on Clinical Text
Stars: ✭ 22 (-29.03%)
Mutual labels: question-answering, squad, bert
Haystack🔍 Haystack is an open source NLP framework that leverages Transformer models. It enables developers to implement production-ready neural search, question answering, semantic document search and summarization for a wide range of applications.
Stars: ✭ 3,409 (+10896.77%)
Mutual labels: question-answering, squad, bert
FinBERT-QAFinancial Domain Question Answering with pre-trained BERT Language Model
Stars: ✭ 70 (+125.81%)
Mutual labels: question-answering, bert
cmrc2019A Sentence Cloze Dataset for Chinese Machine Reading Comprehension (CMRC 2019)
Stars: ✭ 118 (+280.65%)
Mutual labels: question-answering, bert
backpropBackprop makes it simple to use, finetune, and deploy state-of-the-art ML models.
Stars: ✭ 229 (+638.71%)
Mutual labels: question-answering, bert
Bi Att FlowBi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical process that represents context at different levels of granularity and uses a bi-directional attention flow mechanism to achieve a query-aware context representation without early summarization.
Stars: ✭ 1,472 (+4648.39%)
Mutual labels: question-answering, squad
Rust BertRust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)
Stars: ✭ 510 (+1545.16%)
Mutual labels: translation, question-answering
Transformer-QG-on-SQuADImplement Question Generator with SOTA pre-trained Language Models (RoBERTa, BERT, GPT, BART, T5, etc.)
Stars: ✭ 28 (-9.68%)
Mutual labels: squad, bert
iamQA中文wiki百科QA阅读理解问答系统,使用了CCKS2016数据的NER模型和CMRC2018的阅读理解模型,还有W2V词向量搜索,使用torchserve部署
Stars: ✭ 46 (+48.39%)
Mutual labels: question-answering, bert
extractive rc by runtime mtCode and datasets of "Multilingual Extractive Reading Comprehension by Runtime Machine Translation"
Stars: ✭ 36 (+16.13%)
Mutual labels: question-answering, squad
Nlp chinese corpus大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP
Stars: ✭ 6,656 (+21370.97%)
Mutual labels: question-answering, bert
DrFAQDrFAQ is a plug-and-play question answering NLP chatbot that can be generally applied to any organisation's text corpora.
Stars: ✭ 29 (-6.45%)
Mutual labels: question-answering, bert
Awesome Qa😎 A curated list of the Question Answering (QA)
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Mutual labels: question-answering, squad
TriB-QA吹逼我们是认真的
Stars: ✭ 45 (+45.16%)
Mutual labels: question-answering, bert
question-answeringNo description or website provided.
Stars: ✭ 32 (+3.23%)
Mutual labels: question-answering, squad
cdQA-ui⛔ [NOT MAINTAINED] A web interface for cdQA and other question answering systems.
Stars: ✭ 19 (-38.71%)
Mutual labels: question-answering, bert
mcQA🔮 Answering multiple choice questions with Language Models.
Stars: ✭ 23 (-25.81%)
Mutual labels: question-answering, bert
KitanaQAKitanaQA: Adversarial training and data augmentation for neural question-answering models
Stars: ✭ 58 (+87.1%)
Mutual labels: question-answering, bert