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DVQA datasetDVQA Dataset: A Bar chart question answering dataset presented at CVPR 2018
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Vqa TensorflowTensorflow Implementation of Deeper LSTM+ normalized CNN for Visual Question Answering
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hcrn-videoqaImplementation for the paper "Hierarchical Conditional Relation Networks for Video Question Answering" (Le et al., CVPR 2020, Oral)
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MICCAI21 MMQMultiple Meta-model Quantifying for Medical Visual Question Answering
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MmfA modular framework for vision & language multimodal research from Facebook AI Research (FAIR)
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Awesome VqaVisual Q&A reading list
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Adam qasADAM - A Question Answering System. Inspired from IBM Watson
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Bottom Up Attention VqaAn efficient PyTorch implementation of the winning entry of the 2017 VQA Challenge.
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Bert language understandingPre-training of Deep Bidirectional Transformers for Language Understanding: pre-train TextCNN
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Vizwiz Vqa PytorchPyTorch VQA implementation that achieved top performances in the (ECCV18) VizWiz Grand Challenge: Answering Visual Questions from Blind People
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OscarOscar and VinVL
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InformersState-of-the-art natural language processing for Ruby
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Cdqa Annotator⛔ [NOT MAINTAINED] A web-based annotator for closed-domain question answering datasets with SQuAD format.
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Covid QaAPI & Webapp to answer questions about COVID-19. Using NLP (Question Answering) and trusted data sources.
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Vqa.pytorchVisual Question Answering in Pytorch
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Nscl Pytorch ReleasePyTorch implementation for the Neuro-Symbolic Concept Learner (NS-CL).
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GanswerA KBQA system based on DBpedia.
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DeeppavlovAn open source library for deep learning end-to-end dialog systems and chatbots.
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gapbugQA site with Python/Django
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Paper ReadingPaper reading list in natural language processing, including dialogue systems and text generation related topics.
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Knowledge GraphsA collection of research on knowledge graphs
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Cdqa⛔ [NOT MAINTAINED] An End-To-End Closed Domain Question Answering System.
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Gnn4nlp PapersA list of recent papers about Graph Neural Network methods applied in NLP areas.
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Conditional Batch NormPytorch implementation of NIPS 2017 paper "Modulating early visual processing by language"
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CogqaSource code and dataset for ACL 2019 paper "Cognitive Graph for Multi-Hop Reading Comprehension at Scale"
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Tbd NetsPyTorch implementation of "Transparency by Design: Closing the Gap Between Performance and Interpretability in Visual Reasoning"
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Acl18 resultsCode to reproduce results in our ACL 2018 paper "Did the Model Understand the Question?"
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Giveme5w1hExtraction of the journalistic five W and one H questions (5W1H) from news articles: who did what, when, where, why, and how?
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Awesome Visual Question AnsweringA curated list of Visual Question Answering(VQA)(Image/Video Question Answering),Visual Question Generation ,Visual Dialog ,Visual Commonsense Reasoning and related area.
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Qa Snake基于多搜索引擎和深度学习技术的自动问答
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Nlu simall kinds of baseline models for sentence similarity 句子对语义相似度模型
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Zeronet Dev CenterA Development Center for the ZeroNet. Tutorials on ZeroNet Zite Development, Collaboration, and Questions
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Awesome Qa😎 A curated list of the Question Answering (QA)
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Bert SquadSQuAD Question Answering Using BERT, PyTorch
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Shift Ctrl F🔎 Search the information available on a webpage using natural language instead of an exact string match.
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AskNowNQSA question answering system for RDF knowledge graphs.
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TapasEnd-to-end neural table-text understanding models.
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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
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squad-v1.1-ptPortuguese translation of the SQuAD dataset
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VqaCloudCV Visual Question Answering Demo
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