837 Open source projects that are alternatives of or similar to Dynamic Coattention Network Plus

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

Paper reading list in natural language processing, including dialogue systems and text generation related topics.

ADAM - A Question Answering System. Inspired from IBM Watson

Conversational AI Reading Materials

基于自然语言理解与机器学习的聊天机器人，支持多用户并发及自定义多轮对话

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

A collection of research on knowledge graphs

Русскоязычный чатбот

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

⛔ [NOT MAINTAINED] An End-To-End Closed Domain Question Answering System.

A Span-Extraction Dataset for Chinese Machine Reading Comprehension (CMRC 2018)

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

A list of recent papers about Graph Neural Network methods applied in NLP areas.

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

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

Important paper implementations for Question Answering using PyTorch

Jack the Reader

Self-contained Machine Learning and Natural Language Processing library in Go

Machine reading comprehension on clinical case reports

🚁 保险行业语料库，聊天机器人

Bidirectional Attention Flow for Machine Comprehension implemented in Keras 2

Knowledge Base Question Answering using memory networks

Spokestack is a library that allows a user to easily incorporate a voice interface into any Python application.

Extracting scientific claims from biomedical abstracts (powered by AllenNLP), demo:

Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.

A Python library for doing bibliometric and network analysis in science and health policy research

Fine-tuned pre-trained GPT2 for custom topic specific text generation. Such system can be used for Text Augmentation.

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.

A fast, efficient universal vector embedding utility package.

The corresponding code from our paper "DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations". Do not hesitate to open an issue if you run into any trouble!

Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://nlproc.info

XLNet Extension in TensorFlow

CogComp's light-weight Python NLP annotators

R, Python and Mathematica Codes in Machine Learning, Deep Learning, Artificial Intelligence, NLP and Geolocation

package lingo provides the data structures and algorithms required for natural language processing

AI Tool for querying natural language on tabular data.

A pythonic wrapper for Stanford CoreNLP.

[ACL 2020] Tensorflow implementation for "Every Document Owns Its Structure: Inductive Text Classification via Graph Neural Networks"

A curated list of awesome embedding models tutorials, projects and communities.

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

Datasets, tools, and benchmarks for representation learning of code.

Materials for deep NLP course

Kadot, the unsupervised natural language processing library.

Survey on Machine Reading Comprehension

Spoken Language Understanding(SLU)/Slot Filling in Keras

🖋️ Fast and safe spellchecking C++ library

Flexible classic and NeurAl Retrieval Toolkit

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

Official codes for the paper: A Unified Model for Extractive and Abstractive Summarization using Inconsistency Loss.

Code for Yuanfudao at SemEval-2018 Task 11: Three-way Attention and Relational Knowledge for Commonsense Machine Comprehension

My personal notes and surveys on DL, CV and NLP papers.

Automatic Entity Recognition and Typing for Domain-Specific Corpora (KDD'15)

📖 List of some awesome university courses for Machine Learning! Feel free to contribute!

UA-GEC: Grammatical Error Correction and Fluency Corpus for the Ukrainian Language

读过的CV方向的一些论文，图像生成文字、弱监督分割等

Open neural machine translation models and web services

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

使用 RASA NLU 来构建中文自然语言理解系统（NLU）| Use RASA NLU to build a Chinese Natural Language Understanding System (NLU)

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