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verseagilityRamp up your custom natural language processing (NLP) task, allowing you to bring your own data, use your preferred frameworks and bring models into production.
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lets-quizA quiz website for organizing online quizzes and tests. It's build using Python/Django and Bootstrap4 frameworks. 🤖
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COVID19-IRQANo description or website provided.
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TransTQAAuthor: Wenhao Yu (
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piafQuestion Answering annotation platform - Plateforme d'annotation
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GrailQANo description or website provided.
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semanticilpQuestion Answering as Global Reasoning over Semantic Abstractions (AAAI-18)
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CONVEXAs far as we know, CONVEX is the first unsupervised method for conversational question answering over knowledge graphs. A demo and our benchmark (and more) can be found at
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FreebaseQAThe release of the FreebaseQA data set (NAACL 2019).
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KMRC-Research-Archive🗂 Research about Knowledge-based Machine Reading Comprehension
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ADNCAdvanced Differentiable Neural Computer (ADNC) with application to bAbI task and CNN RC task.
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fastT5⚡ boost inference speed of T5 models by 5x & reduce the model size by 3x.
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cmrc2019A Sentence Cloze Dataset for Chinese Machine Reading Comprehension (CMRC 2019)
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TeBaQAA question answering system which utilises machine learning.
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rankqaThis is the PyTorch implementation of the ACL 2019 paper RankQA: Neural Question Answering with Answer Re-Ranking.
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HARCode for WWW2019 paper "A Hierarchical Attention Retrieval Model for Healthcare Question Answering"
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VideoNavQAAn alternative EQA paradigm and informative benchmark + models (BMVC 2019, ViGIL 2019 spotlight)
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cmrc2017The First Evaluation Workshop on Chinese Machine Reading Comprehension (CMRC 2017)
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TriB-QA吹逼我们是认真的
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ProQAProgressively Pretrained Dense Corpus Index for Open-Domain QA and Information Retrieval
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calcipherCalculates the best possible answer for multiple-choice questions using techniques to maximize accuracy without any other outside resources or knowledge.
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InstahelpInstahelp is a Q&A portal website similar to Quora
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explicit memory tracker[ACL 2020] Explicit Memory Tracker with Coarse-to-Fine Reasoning for Conversational Machine Reading
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KMRC-PapersA list of recent papers regarding knowledge-based machine reading comprehension.
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pair2vecpair2vec: Compositional Word-Pair Embeddings for Cross-Sentence Inference
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ReQuestIndirect Supervision for Relation Extraction Using Question-Answer Pairs (WSDM'18)
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JackJack the Reader
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KitanaQAKitanaQA: Adversarial training and data augmentation for neural question-answering models
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extractive rc by runtime mtCode and datasets of "Multilingual Extractive Reading Comprehension by Runtime Machine Translation"
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examineeLaravel Quiz and Exam System clone of udemy
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backpropBackprop makes it simple to use, finetune, and deploy state-of-the-art ML models.
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nlp qa projectNatural Language Processing Question Answering Final Project
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unsupervised-qaTemplate-Based Question Generation from Retrieved Sentences for Improved Unsupervised Question Answering
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FinBERT-QAFinancial Domain Question Answering with pre-trained BERT Language Model
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QANetA TensorFlow implementation of "QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension"
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DrFAQDrFAQ is a plug-and-play question answering NLP chatbot that can be generally applied to any organisation's text corpora.
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FlowQAImplementation of conversational QA model: FlowQA (with slight improvement)
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dialogbotdialogbot, provide search-based dialogue, task-based dialogue and generative dialogue model. 对话机器人,基于问答型对话、任务型对话、聊天型对话等模型实现,支持网络检索问答,领域知识问答,任务引导问答,闲聊问答,开箱即用。
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Cmrc2018A Span-Extraction Dataset for Chinese Machine Reading Comprehension (CMRC 2018)
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NS-CQANS-CQA: the model of the JWS paper 'Less is More: Data-Efficient Complex Question Answering over Knowledge Bases.' This work has been accepted by JWS 2020.
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QA HRDE LTCTensorFlow implementation of "Learning to Rank Question-Answer Pairs using Hierarchical Recurrent Encoder with Latent Topic Clustering," NAACL-18
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Shukongdashi使用知识图谱,自然语言处理,卷积神经网络等技术,基于python语言,设计了一个数控领域故障诊断专家系统
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strategyqaThe official code of TACL 2021, "Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies".
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