217 Open source projects that are alternatives of or similar to WikiTableQuestions

Compositional Generalization in Natual Language Processing. A roadmap.

Source code and data for ACL 2019 Long Paper ``Semantic Parsing with Dual 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。

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

No description or website provided.

No description or website provided.

Instahelp is a Q&A portal website similar to Quora

Persian (Farsi) Question Answering Dataset (+ Models)

Tensorflow/Pytorch implementation of Gated Attention Reader

full featured forum, easy to integrate and use.

golang 面试集锦

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

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

HBAM: Hierarchical Bi-directional Word Attention Model

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

[SemEval'19] Code for "HLT@SUDA at SemEval 2019 Task 1: UCCA Graph Parsing as Constituent Tree Parsing"

Using Database Rule for Weak Supervised Text-to-SQL Generation

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

An InformationGain based Question Answering over knowledge Graph system.

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

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

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

Original implementation of QA4IE

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

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.

吹逼我们是认真的

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

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

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

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

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

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.

A question answering system which utilises machine learning.

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

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

ODSQA: OPEN-DOMAIN SPOKEN QUESTION ANSWERING DATASET

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

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

Question Answering System using BiDAF Model on SQuAD v2.0

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

Multiple paper open-source codes of the Microsoft Research Asia DKI group

Question Answering over Knowledge Bases

No description or website provided.

Improving Machine Reading Comprehension with General Reading Strategies

PyTorch port of the paper "Language to Logical Form with Neural Attention"

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

Experiments with Hugging Face 🔬 🤗

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

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

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

A tensorflow implementation of neural sequence-to-sequence parser for converting natural language queries to logical form.

Translating natural language questions to a structured query language

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

This is the project containing source codes and pre-trained models about ACL2021 Long Paper ``LGESQL: Line Graph Enhanced Text-to-SQL Model with Mixed Local and Non-Local Relations".

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

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

HEAD-QA: A Healthcare Dataset for Complex Reasoning

Augmented version of SQUAD 2.0 for Questions

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