hcrn-videoqaImplementation for the paper "Hierarchical Conditional Relation Networks for Video Question Answering" (Le et al., CVPR 2020, Oral)
Stars: ✭ 111 (+455%)
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。
Stars: ✭ 96 (+380%)
cmrc2019A Sentence Cloze Dataset for Chinese Machine Reading Comprehension (CMRC 2019)
Stars: ✭ 118 (+490%)
PersianQAPersian (Farsi) Question Answering Dataset (+ Models)
Stars: ✭ 114 (+470%)
nlp qa projectNatural Language Processing Question Answering Final Project
Stars: ✭ 61 (+205%)
Machine-LearningIn this repo, all about Machine Learning and I covered both Supervised and Unsupervised Learning Techniques with Practical Implementation. Everything from scratch and I solved a lot of different problems with different Machine Learning techniques either related to Healthcare, E-commerce, Sports, or Daily Business Issues.
Stars: ✭ 29 (+45%)
unsupervised-qaTemplate-Based Question Generation from Retrieved Sentences for Improved Unsupervised Question Answering
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NCE-CNN-TorchNoise-Contrastive Estimation for Question Answering with Convolutional Neural Networks (Rao et al. CIKM 2016)
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FinBERT-QAFinancial Domain Question Answering with pre-trained BERT Language Model
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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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cmrc2017The First Evaluation Workshop on Chinese Machine Reading Comprehension (CMRC 2017)
Stars: ✭ 90 (+350%)
JackJack the Reader
Stars: ✭ 242 (+1110%)
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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Dmn TensorflowDynamic Memory Networks (https://arxiv.org/abs/1603.01417) in Tensorflow
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KitanaQAKitanaQA: Adversarial training and data augmentation for neural question-answering models
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Tensorflow DsmmTensorflow implementations of various Deep Semantic Matching Models (DSMM).
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QA4IEOriginal implementation of QA4IE
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Kb Qa基于知识库的中文问答系统(biLSTM)
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backpropBackprop makes it simple to use, finetune, and deploy state-of-the-art ML models.
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AnyqFAQ-based Question Answering System
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Awesome KgqaA collection of some materials of knowledge graph question answering
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TriviaqaCode for the TriviaQA reading comprehension dataset
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KrantikariQAAn InformationGain based Question Answering over knowledge Graph system.
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Questgen.aiQuestion generation using state-of-the-art Natural Language Processing algorithms
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FlowQAImplementation of conversational QA model: FlowQA (with slight improvement)
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Hq bot📲 Bot to help solve HQ trivia
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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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AwesomemrcThis repo is our research summary and playground for MRC. More features are coming.
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DenspiReal-Time Open-Domain Question Answering with Dense-Sparse Phrase Index (DenSPI)
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iPerceiveApplying Common-Sense Reasoning to Multi-Modal Dense Video Captioning and Video Question Answering | Python3 | PyTorch | CNNs | Causality | Reasoning | LSTMs | Transformers | Multi-Head Self Attention | Published in IEEE Winter Conference on Applications of Computer Vision (WACV) 2021
Stars: ✭ 52 (+160%)
Nspm🤖 Neural SPARQL Machines for Knowledge Graph Question Answering.
Stars: ✭ 156 (+680%)
Machine LearningA repository of resources for understanding the concepts of machine learning/deep learning.
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Cape WebservicesEntrypoint for all backend cape webservices
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tldrTLDR is an unsupervised dimensionality reduction method that combines neighborhood embedding learning with the simplicity and effectiveness of recent self-supervised learning losses
Stars: ✭ 95 (+375%)
exams-qaA Multi-subject High School Examinations Dataset for Cross-lingual and Multilingual Question Answering
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Kbqa Ar SmcnnQuestion answering over Freebase (single-relation)
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deformer[ACL 2020] DeFormer: Decomposing Pre-trained Transformers for Faster Question Answering
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Dan Jurafsky Chris Manning NlpMy solution to the Natural Language Processing course made by Dan Jurafsky, Chris Manning in Winter 2012.
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semanticilpQuestion Answering as Global Reasoning over Semantic Abstractions (AAAI-18)
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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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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 (+16945%)
COVID19-IRQANo description or website provided.
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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 (+7260%)
MLH-QuizzetThis is a smart Quiz Generator that generates a dynamic quiz from any uploaded text/PDF document using NLP. This can be used for self-analysis, question paper generation, and evaluation, thus reducing human effort.
Stars: ✭ 23 (+15%)
unanswerable qaThe official implementation for ACL 2021 "Challenges in Information Seeking QA: Unanswerable Questions and Paragraph Retrieval".
Stars: ✭ 21 (+5%)
mrqaCode for EMNLP-IJCNLP 2019 MRQA Workshop Paper: "Domain-agnostic Question-Answering with Adversarial Training"
Stars: ✭ 35 (+75%)
QuestionClusteringClasificador de preguntas escrito en python 3 que fue implementado en el siguiente vídeo: https://youtu.be/qnlW1m6lPoY
Stars: ✭ 15 (-25%)
TransTQAAuthor: Wenhao Yu (
[email protected]). EMNLP'20. Transfer Learning for Technical Question Answering.
Stars: ✭ 12 (-40%)
ReQuestIndirect Supervision for Relation Extraction Using Question-Answer Pairs (WSDM'18)
Stars: ✭ 26 (+30%)