898 Open source projects that are alternatives of or similar to Tod Bert

This repository contains PyTorch implementation for the baseline models from the paper Utterance-level Dialogue Understanding: An Empirical Study

Natural Language Processing Best Practices & Examples

This repo contains implementation of different architectures for emotion recognition in conversations.

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

Compendium of the resources available from top NLP conferences.

Source code for transferable dialogue state generator (TRADE, Wu et al., 2019). https://arxiv.org/abs/1905.08743

Source code for end-to-end dialogue model from the MultiWOZ paper (Budzianowski et al. 2018, EMNLP)

The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)

This Word Does Not Exist

🚁 保险行业语料库，聊天机器人

A curated list of NLP resources for Hungarian

🤗 AutoNLP: train state-of-the-art natural language processing models and deploy them in a scalable environment automatically

A curated list of Open Information Extraction (OIE) resources: papers, code, data, etc.

NNDial is an open source toolkit for building end-to-end trainable task-oriented dialogue models. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.

Named Entity Recognition

RNNLG is an open source benchmark toolkit for Natural Language Generation (NLG) in spoken dialogue system application domains. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.

A simplified PyTorch implementation of "SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient." (Yu, Lantao, et al.)

TensorFlow code and pre-trained models for BERT

Sequence to sequence learning using TensorFlow.

Programming assignments from all courses in the Coursera Natural Language Processing Specialization offered by deeplearning.ai.

Machine Reading Comprehension in Tensorflow

Data-centric declarative deep learning framework

A two-level morphological analyzer for Turkish.

ConvAI baseline solution

DialoGLUE: A Natural Language Understanding Benchmark for Task-Oriented Dialogue

API of Articut 中文斷詞 (兼具語意詞性標記)：「斷詞」又稱「分詞」，是中文資訊處理的基礎。Articut 不用機器學習，不需資料模型，只用現代白話中文語法規則，即能達到 SIGHAN 2005 F1-measure 94% 以上，Recall 96% 以上的成績。

🚀 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.

Character-based word embeddings model based on RNN for handling real world texts

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

🏇 聊天机器人，自然语言理解，语义理解

Language, Knowledge, Cognition

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

NLP made easy

💥 Fast State-of-the-Art Tokenizers optimized for Research and Production

Official Repository for 'Practical Natural Language Processing' by O'Reilly Media

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

An open platform for artificial intelligence, chat bots, virtual agents, social media automation, and live chat automation.

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)

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

Русскоязычный чатбот

Evaluation code for various unsupervised automated metrics for Natural Language Generation.

Neural Models for Conversational AI

💫 Automated codification of Greek Legislation with NLP

Detect the sentiment captured in short pieces of text

Blocks World -- Simulator, Code, and Models (Misra et al. EMNLP 2017)

Pre-trained Mongolian BERT models

Bidirectional Attention Flow for Machine Comprehension implemented in Keras 2

Python tutorials as Jupyter Notebooks for NLP, ML, AI

Cornell Instruction Following Framework

This is a list of open-source projects at Microsoft Research NLP Group

Mapping a variable-length sentence to a fixed-length vector using BERT model

A Dead Simple BERT API for Python and Java (https://github.com/google-research/bert)

Models and Pipelines for the Spark NLP library

❤️Emotional First Aid Dataset, 心理咨询问答、聊天机器人语料库

IssuesにNLP（自然言語処理）に関連するの論文を読んだまとめを書いています．雑です．🚧 マークは編集中の論文です（事実上放置のものも多いです）．🍡 マークは概要のみ書いてます（早く見れる的な意味で団子）．

🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy

Multi-Task Deep Neural Networks for Natural Language Understanding

XLNet Extension in TensorFlow

Materials for deep NLP course