200 Open source projects that are alternatives of or similar to Tensorflow Dsmm

Tensorflow Implementation of Deeper LSTM+ normalized CNN for Visual Question Answering

Datasets, SOTA results of every fields of Chinese NLP

TensorFlow implementation of Match-LSTM and Answer pointer for the popular SQuAD dataset.

[[I'm slow at replying these days, but I hope to get back to answering questions eventually]] Ask me anything!

Vietnamese question answering system with BERT

Important paper implementations for Question Answering using PyTorch

Knowledge Base Question Answering using memory networks

A relation-aware semantic parsing model from English to SQL

Medical question and answer dataset gathered from the web.

PyTorch implementation of the ACL 2019 paper "Improving Question Answering over Incomplete KBs with Knowledge-Aware Reader"

AI Tool for querying natural language on tabular data.

Conversational AI Reading Materials

Collections of Chinese reading comprehension datasets

Flexible classic and NeurAl Retrieval Toolkit

PyTorch implementations of various deep learning models for paraphrase detection, semantic similarity, and textual entailment

This repo collects and re-produces models related to domains of question answering and machine reading comprehension

Awesome & Marvelous Amas

Transformers for Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI

🏡 Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.

Medical Question Answering Dataset of 47,457 QA pairs created from 12 NIH websites

Bidirectional Attention Flow for Machine Comprehension implemented in Keras 2

Theano Implementation of DMN+ (Improved Dynamic Memory Networks) from the paper by Xiong, Merity, & Socher at MetaMind, http://arxiv.org/abs/1603.01417 (Dynamic Memory Networks for Visual and Textual Question Answering)

⛔ [NOT MAINTAINED] A web-based annotator for closed-domain question answering datasets with SQuAD format.

Machine reading comprehension on clinical case reports

Bi-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.

Code to reproduce results in our ACL 2018 paper "Did the Model Understand the Question?"

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

Русскоязычный чатбот

Code for the TriviaQA reading comprehension dataset

Survey on Machine Reading Comprehension

🤖 Neural SPARQL Machines for Knowledge Graph Question Answering.

NLP DNN Toolkit - Building Your NLP DNN Models Like Playing Lego

FAQ-based Question Answering System

A package built on top of Hugging Face's transformer library that makes it easy to utilize state-of-the-art NLP models

Entrypoint for all backend cape webservices

PHPer case interview questions

Question generation using state-of-the-art Natural Language Processing algorithms

Code for my EMNLP 2018 paper "SimpleQuestions Nearly Solved: A New Upperbound and Baseline Approach"

PTT 八卦版問答中文語料

Bert-base NLP pipeline for Turkish, Ner, Sentiment Analysis, Question Answering etc.

基于知识库的中文问答系统（biLSTM）

Arabic Open Domain Question Answering System using Neural Reading Comprehension

Question answering over Freebase (single-relation)

Reference Implementation for WSDM 2018 Paper "Hyperbolic Representation Learning for Fast and Efficient Neural Question Answering"

📲 Bot to help solve HQ trivia

📙 PHP 面试知识点汇总

My solution to the Natural Language Processing course made by Dan Jurafsky, Chris Manning in Winter 2012.

Hadamard Product for Low-rank Bilinear Pooling

A collection of some materials of knowledge graph question answering

The official implementation of ACL 2020, "Logic-Guided Data Augmentation and Regularization for Consistent Question Answering".

Implementation of Dynamic memory networks plus in Pytorch

🔎 Search the information available on a webpage using natural language instead of an exact string match.

This repo is our research summary and playground for MRC. More features are coming.

🔍 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.

【不定期更新】收集整理的一些网站中（如知乎、Quora、Reddit、Stack Exchange等）与深度学习、机器学习、强化学习、数据科学相关的有价值的问题

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

The source code of ACL 2018 paper "Denoising Distantly Supervised Open-Domain Question Answering".

question answering, reading comprehension toolkit

Dynamic Coattention Network Plus (DCN+) TensorFlow implementation. Question answering using Deep NLP.