200 Open source projects that are alternatives of or similar to gapbug

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

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

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.

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

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

A question answering dataset for machine comprehension of spoken content

No description or website provided.

Participant Kit for the TextGraphs-15 Shared Task on Explanation Regeneration

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.

Conversational Question Answering on Clinical Text

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

A question answering system which utilises machine learning.

Official code repository for "Exploring Neural Models for Query-Focused Summarization".

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

Pytorch implementation of "Dynamic Coattention Networks For Question Answering"

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

Machine Comprehension Train on MSMARCO with S-NET Extraction Modification

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

Multiple Meta-model Quantifying for Medical Visual Question Answering

Tensorflow/Pytorch implementation of Gated Attention Reader

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

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

DVQA Dataset: A Bar chart question answering dataset presented at CVPR 2018

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

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

Augmented version of SQUAD 2.0 for Questions

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。

This is the official repository for NAACL 2021, "XOR QA: Cross-lingual Open-Retrieval Question Answering".

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

⛔ [NOT MAINTAINED] A web interface for cdQA and other question answering systems.

Persian (Farsi) Question Answering Dataset (+ Models)

Extraction of the five journalistic W-questions (5W) from news articles

Original implementation of QA4IE

Web app that allows students to ask real-time, anonymous questions during class

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

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

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.

中文心理问答数据集

ODSQA: OPEN-DOMAIN SPOKEN QUESTION ANSWERING DATASET

📑 Neural Search

Improving Machine Reading Comprehension with General Reading Strategies

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

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

Compare six baseline deep learning models on TrecQA

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

TensorFlow Models for the Stanford Question Answering Dataset

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

A dataset of complex questions on semi-structured Wikipedia tables

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

Product-Aware Answer Generation in E-Commerce Question-Answering

No description or website provided.

HEAD-QA: A Healthcare Dataset for Complex Reasoning

HBAM: Hierarchical Bi-directional Word Attention Model

Very Simple Question Answer System using Chinese Wikipedia Data

An InformationGain based Question Answering over knowledge Graph system.

A question answering system for RDF knowledge graphs.

Portuguese translation of the SQuAD dataset

🔮 Answering multiple choice questions with Language Models.

Text2Text: Cross-lingual natural language processing and generation toolkit

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