Top 201 question-answering open source projects

A question answering dataset for machine comprehension of spoken content

Author implementation of "Learning to Search in Long Documents Using Document Structure" (Mor Geva and Jonathan Berant, 2018)

Machine Comprehension Train on MSMARCO with S-NET Extraction Modification

📑 Neural Search

StarGraph (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.

Compare six baseline deep learning models on TrecQA

Environment that can be used to evaluate reasoning capabilities of artificial agents

A dataset of complex questions on semi-structured Wikipedia tables

Conversational Question Answering on Clinical Text

HEAD-QA: A Healthcare Dataset for Complex Reasoning

The official implementation for ACL 2021 "Challenges in Information Seeking QA: Unanswerable Questions and Paragraph Retrieval".

An InformationGain based Question Answering over knowledge Graph system.

Code for EMNLP-IJCNLP 2019 MRQA Workshop Paper: "Domain-agnostic Question-Answering with Adversarial Training"

Augmented version of SQUAD 2.0 for Questions

PororoQA, https://arxiv.org/abs/1707.00836

[ACL 2020] DeFormer: Decomposing Pre-trained Transformers for Faster Question Answering

金融问答平台文本数据采集/爬取，数据源涉及上交所，深交所，全景网及新浪股吧

Persian (Farsi) Question Answering Dataset (+ Models)

Real-Time Open-Domain Question Answering with Dense-Sparse Phrase Index (DenSPI)

Original implementation of QA4IE

Code and resources for papers "Generation-Augmented Retrieval for Open-Domain Question Answering" and "Reader-Guided Passage Reranking for Open-Domain Question Answering", ACL 2021

Applying 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

⭐️🐟 questionnaire wechat app built with taro, taro-ui and heart. 微信问卷小程序

This 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.

No description or website provided.

ODSQA: OPEN-DOMAIN SPOKEN QUESTION ANSWERING DATASET

Noise-Contrastive Estimation for Question Answering with Convolutional Neural Networks (Rao et al. CIKM 2016)

Improving Machine Reading Comprehension with General Reading Strategies

TensorFlow implementation of "Learning to Rank Question-Answer Pairs using Hierarchical Recurrent Encoder with Latent Topic Clustering," NAACL-18

Code and datasets of "Multilingual Extractive Reading Comprehension by Runtime Machine Translation"

Tensorflow/Pytorch implementation of Gated Attention Reader

[ACL 2020] Explicit Memory Tracker with Coarse-to-Fine Reasoning for Conversational Machine Reading

Ramp up your custom natural language processing (NLP) task, allowing you to bring your own data, use your preferred frameworks and bring models into production.

A TensorFlow implementation of "QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension"

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

Calculates the best possible answer for multiple-choice questions using techniques to maximize accuracy without any other outside resources or knowledge.

The release of the FreebaseQA data set (NAACL 2019).

No description or website provided.

Author: Wenhao Yu ([email protected]). EMNLP'20. Transfer Learning for Technical Question Answering.

HBAM: Hierarchical Bi-directional Word Attention Model

A question answering system which utilises machine learning.

dialogbot, 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。

The official code of TACL 2021, "Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies".

Tensorflow implementation of DCN for question answering on the Stanford Question Answering Dataset (SQuAD)

Instahelp is a Q&A portal website similar to Quora

Question Answering System using BiDAF Model on SQuAD v2.0

pair2vec: Compositional Word-Pair Embeddings for Cross-Sentence Inference

KitanaQA: Adversarial training and data augmentation for neural question-answering models

No description or website provided.

Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.

full featured forum, easy to integrate and use.

Experiments with Hugging Face 🔬 🤗

Code for WWW2019 paper "A Hierarchical Attention Retrieval Model for Healthcare Question Answering"

Implementation of conversational QA model: FlowQA (with slight improvement)

golang 面试集锦

NS-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.

A Multi-subject High School Examinations Dataset for Cross-lingual and Multilingual Question Answering

吹逼我们是认真的

Question Answering as Global Reasoning over Semantic Abstractions (AAAI-18)

Progressively Pretrained Dense Corpus Index for Open-Domain QA and Information Retrieval