Mac NetworkImplementation for the paper "Compositional Attention Networks for Machine Reasoning" (Hudson and Manning, ICLR 2018)
Stars: ✭ 444 (+2120%)
VideoNavQAAn alternative EQA paradigm and informative benchmark + models (BMVC 2019, ViGIL 2019 spotlight)
Stars: ✭ 22 (+10%)
MICCAI21 MMQMultiple Meta-model Quantifying for Medical Visual Question Answering
Stars: ✭ 16 (-20%)
MullowbivqaHadamard Product for Low-rank Bilinear Pooling
Stars: ✭ 57 (+185%)
Vqa TensorflowTensorflow Implementation of Deeper LSTM+ normalized CNN for Visual Question Answering
Stars: ✭ 98 (+390%)
hcrn-videoqaImplementation for the paper "Hierarchical Conditional Relation Networks for Video Question Answering" (Le et al., CVPR 2020, Oral)
Stars: ✭ 111 (+455%)
patrick-wechat⭐️🐟 questionnaire wechat app built with taro, taro-ui and heart. 微信问卷小程序
Stars: ✭ 74 (+270%)
unanswerable qaThe official implementation for ACL 2021 "Challenges in Information Seeking QA: Unanswerable Questions and Paragraph Retrieval".
Stars: ✭ 21 (+5%)
ODSQAODSQA: OPEN-DOMAIN SPOKEN QUESTION ANSWERING DATASET
Stars: ✭ 43 (+115%)
extractive rc by runtime mtCode and datasets of "Multilingual Extractive Reading Comprehension by Runtime Machine Translation"
Stars: ✭ 36 (+80%)
StargraphStarGraph (aka *graph) is a graph database to query large Knowledge Graphs. Playing with Knowledge Graphs can be useful if you are developing AI applications or doing data analysis over complex domains.
Stars: ✭ 24 (+20%)
mrqaCode for EMNLP-IJCNLP 2019 MRQA Workshop Paper: "Domain-agnostic Question-Answering with Adversarial Training"
Stars: ✭ 35 (+75%)
QANetA TensorFlow implementation of "QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension"
Stars: ✭ 31 (+55%)
GARCode and resources for papers "Generation-Augmented Retrieval for Open-Domain Question Answering" and "Reader-Guided Passage Reranking for Open-Domain Question Answering", ACL 2021
Stars: ✭ 38 (+90%)
head-qaHEAD-QA: A Healthcare Dataset for Complex Reasoning
Stars: ✭ 20 (+0%)
IDN-pytorchpaper implement : Fast and Accurate Single Image Super-Resolution via Information Distillation Network
Stars: ✭ 40 (+100%)
MSMARCOMachine Comprehension Train on MSMARCO with S-NET Extraction Modification
Stars: ✭ 31 (+55%)
strategyImproving Machine Reading Comprehension with General Reading Strategies
Stars: ✭ 35 (+75%)
just-ask[TPAMI Special Issue on ICCV 2021 Best Papers, Oral] Just Ask: Learning to Answer Questions from Millions of Narrated Videos
Stars: ✭ 57 (+185%)
explicit memory tracker[ACL 2020] Explicit Memory Tracker with Coarse-to-Fine Reasoning for Conversational Machine Reading
Stars: ✭ 35 (+75%)
query-focused-sumOfficial code repository for "Exploring Neural Models for Query-Focused Summarization".
Stars: ✭ 17 (-15%)
calcipherCalculates the best possible answer for multiple-choice questions using techniques to maximize accuracy without any other outside resources or knowledge.
Stars: ✭ 15 (-25%)
deformer[ACL 2020] DeFormer: Decomposing Pre-trained Transformers for Faster Question Answering
Stars: ✭ 111 (+455%)
probnmn-clevrCode for ICML 2019 paper "Probabilistic Neural-symbolic Models for Interpretable Visual Question Answering" [long-oral]
Stars: ✭ 63 (+215%)
QA4IEOriginal implementation of QA4IE
Stars: ✭ 24 (+20%)
Medi-CoQAConversational Question Answering on Clinical Text
Stars: ✭ 22 (+10%)
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%)
DocQNAuthor implementation of "Learning to Search in Long Documents Using Document Structure" (Mor Geva and Jonathan Berant, 2018)
Stars: ✭ 21 (+5%)
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%)
VoxelMorph-PyTorchAn unofficial PyTorch implementation of VoxelMorph- An unsupervised 3D deformable image registration method
Stars: ✭ 68 (+240%)
XORQAThis is the official repository for NAACL 2021, "XOR QA: Cross-lingual Open-Retrieval Question Answering".
Stars: ✭ 61 (+205%)
NCE-CNN-TorchNoise-Contrastive Estimation for Question Answering with Convolutional Neural Networks (Rao et al. CIKM 2016)
Stars: ✭ 54 (+170%)
BarChartSwiftUI Bar Chart
Stars: ✭ 156 (+680%)
QA HRDE LTCTensorFlow implementation of "Learning to Rank Question-Answer Pairs using Hierarchical Recurrent Encoder with Latent Topic Clustering," NAACL-18
Stars: ✭ 29 (+45%)
cherche📑 Neural Search
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KrantikariQAAn InformationGain based Question Answering over knowledge Graph system.
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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.
Stars: ✭ 23 (+15%)
WikiQAVery Simple Question Answer System using Chinese Wikipedia Data
Stars: ✭ 24 (+20%)
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
Stars: ✭ 109 (+445%)
FreebaseQAThe release of the FreebaseQA data set (NAACL 2019).
Stars: ✭ 55 (+175%)
DisguiseNetCode for DisguiseNet : A Contrastive Approach for Disguised Face Verification in the Wild
Stars: ✭ 20 (+0%)
TransTQAAuthor: Wenhao Yu (
[email protected]). EMNLP'20. Transfer Learning for Technical Question Answering.
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PororoQAPororoQA, https://arxiv.org/abs/1707.00836
Stars: ✭ 26 (+30%)
TeBaQAA question answering system which utilises machine learning.
Stars: ✭ 17 (-15%)
Giveme5WExtraction of the five journalistic W-questions (5W) from news articles
Stars: ✭ 16 (-20%)
iMIXA framework for Multimodal Intelligence research from Inspur HSSLAB.
Stars: ✭ 21 (+5%)
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%)
strategyqaThe official code of TACL 2021, "Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies".
Stars: ✭ 27 (+35%)
squadgymEnvironment that can be used to evaluate reasoning capabilities of artificial agents
Stars: ✭ 27 (+35%)
PersianQAPersian (Farsi) Question Answering Dataset (+ Models)
Stars: ✭ 114 (+470%)
InstahelpInstahelp is a Q&A portal website similar to Quora
Stars: ✭ 21 (+5%)