907 Open source projects that are alternatives of or similar to Jack

As far as we know, CONVEX is the first unsupervised method for conversational question answering over knowledge graphs. A demo and our benchmark (and more) can be found at

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

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

Knowledge Base Question Answering using memory networks

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

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

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

🚁 保险行业语料库，聊天机器人

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

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

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

Machine reading comprehension on clinical case reports

Русскоязычный чатбот

A collection of research on knowledge graphs

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

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

Language, Knowledge, Cognition

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

ADAM - A Question Answering System. Inspired from IBM Watson

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

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

Bidirectional Attention Flow for Machine Comprehension implemented in Keras 2

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

Important paper implementations for Question Answering using PyTorch

The Language Interpretability Tool: Interactively analyze NLP models for model understanding in an extensible and framework agnostic interface.

Researches for Natural Language Processing for Financial Domain

ACL 2019: Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks

The tool to make NLP datasets ready to use

[CVPR 2017] Torch code for Visual Dialog

Based on the Pytorch-Transformers library by HuggingFace. To be used as a starting point for employing Transformer models in text classification tasks. Contains code to easily train BERT, XLNet, RoBERTa, and XLM models for text classification.

Tensorflow implementations of various Deep Semantic Matching Models (DSMM).

Named Entity Recognition based on dictionaries

Archivy is a self-hosted knowledge repository that allows you to safely preserve useful content that contributes to your own personal, searchable and extendable wiki.

Neat (Neural Attention) Vision, is a visualization tool for the attention mechanisms of deep-learning models for Natural Language Processing (NLP) tasks. (framework-agnostic)

ROADMAP(Mind Map) and KEYWORD for students those who have interest in learning NLP

TypeDB: a strongly-typed database

KoBERT와 CRF로 만든 한국어 개체명인식기 (BERT+CRF based Named Entity Recognition model for Korean)

A curated list of awesome machine learning frameworks, libraries, courses, books and many more.

Interpretable data visualizations for understanding how texts differ at the word level

Graph Convolution Network for NLP

🚀 Catalyst is a C# Natural Language Processing library built for speed. Inspired by spaCy's design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.

Knowledge-Aware Graph Networks for Commonsense Reasoning (EMNLP-IJCNLP 19)

A CoNLL-U parser that takes a CoNLL-U formatted string and turns it into a nested python dictionary.

MITIE: library and tools for information extraction

Implementation of a seq2seq model for summarization of textual data. Demonstrated on amazon reviews, github issues and news articles.

[ACL 2020] HAT: Hardware-Aware Transformers for Efficient Natural Language Processing

Meandering In Networks of Entities to Reach Verisimilar Answers

Accelerated deep learning R&D

PyTorch implementation of beam search decoding for seq2seq models

QRNN implementation for TensorFlow

Implementation of character based convolutional neural network

Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)

spaCy REST API, wrapped in a Docker container.

THE String Processing Package for R (with ICU)

Coding exercises for the Natural Language Processing concentration, part of Udacity's AIND program.

Machine Learning notebooks for refreshing concepts.

A PyTorch implementation of GraphRel

Implementations for a family of attention mechanisms, suitable for all kinds of natural language processing tasks and compatible with TensorFlow 2.0 and Keras.

Dynamic Memory Networks (https://arxiv.org/abs/1603.01417) in Tensorflow