Question Answering is a crucial natural language processing task. This field of research has attracted a sudden amount of interest lately due mainly to the integration of the deep learning models in the Question Answering Systems which consequently power up many advancements and improvements. This surv...
QUESTION answering systemsLANGUAGE modelsSCIENTIFIC knowledgeCOVID-19SCIENTIFIC literatureIn the current situation of worldwide pandemic COVID-19, which has infected 62.5 Million people and caused nearly 1.46 Million deaths worldwide as of Nov 2020. The profoundly powerful and quickly ad...
(768,2))#加载预训练模型的参数parameters=AutoModelForQuestionAnswering.from_pretrained('distilbert-base-uncased')self.fc[1].load_state_dict(parameters.qa_outputs.state_dict())defforward(self,input_ids,attention_mask,start_positions,end_positions):# 放在gpu上训练iftorch.cuda.is_available():input...
We chose a few candidate question-answering models from the repository of available models. Lo and behold, many of them have already been fine-tuned on the SQuAD dataset. Awesome! Here are a few SQuAD fine-tuned models we are going to evaluate: distilbert-base-cased-distilled-squad bert-...
With the Question Answering, or Reading Comprehension, task, given a question and a passage of content (context) that may contain an answer for the question, the model will predict the span within the text with a start and end position indicating the answer to the question. For datasets like...
and rerunpython convert_distilbert_qa.pyto generate a non-quantized model and use it in the app to compare with the quantized version. 2. Use LibTorch-Lite Run the commands below: cd QuestionAnswering pod install open QuestionAnswering.xcworkspace/ ...
DistilBERT for Question Answering The app contains a demo of the DistilBERT model (97% of BERT’s performance on GLUE) fine-tuned for Question answering on the SQuAD dataset. It provides 48 passages from the dataset for users to choose from. Coming soon: GPT-2, quantization... and much ...
Gated Self-Matching Networks for Reading Comprehension and Question Answering论文笔记 原文下载链接 摘要 检索式问答系统试图从文档中获取问题的答案。一般步骤是先从一众文档中检索相关文档,然后再进一步检索文档回答问题。本文解决的是后一步,即阅读理解式的问答系统。文章基于端到端的多层神经网络模型从篇章中获取...
Haystack is a python framework for developing End to End question answering systems. It provides a flexible way to use the latest NLP models to solve several QA tasks in real-world settings with huge data collections.
Question Answering Quora Question Pairs XLNet Retrieval Quora Question Pairs BM25S Paraphrase Generation Quora Question Pairs Separator Paraphrase Identification Quora Question Pairs Dev BERT + SCH attm Show all 10 benchmarks Papers...