#自然语言处理#An open source library for deep learning end-to-end dialog systems and chatbots.
#自然语言处理#Snips Python library to extract meaning from text
#计算机科学#基于金融-司法领域(兼有闲聊性质)的聊天机器人，其中的主要模块有信息抽取、NLU、NLG、知识图谱等，并且利用Django整合了前端展示,目前已经封装了nlp和kg的restful接口
building a chinese dialogue system based on the newest version of rasa(基于最新版本rasa搭建的对话系统)
A practical and feature-rich paraphrasing framework to augment human intents in text form to build robust NLU models for conversational engines. Created by Prithiviraj Damodaran. Open to pull requests...
Pytorch implementation of JointBERT: "BERT for Joint Intent Classification and Slot Filling"
On-device Speech-to-Intent engine powered by deep learning
#自然语言处理#[ACL 2021] Learning Dense Representations of Phrases at Scale; EMNLP'2021: Phrase Retrieval Learns Passage Retrieval, Too https://arxiv.org/abs/2012.12624
A TensorFlow implementation of Recurrent Neural Networks for Sequence Classification and Sequence Labeling
slot filling, intent detection, joint training, ATIS & SNIPS datasets, the Facebook’s multilingual dataset, MIT corpus, E-commerce Shopping Assistant (ECSA) dataset, CoNLL2003 NER, ELMo, BERT, XLNet
#自然语言处理#[EMNLP 2020] OpenUE: An Open Toolkit of Universal Extraction from Text
Slot-Gated Modeling for Joint Slot Filling and Intent Prediction
Tensorflow implementation of "Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling" (https://arxiv.org/abs/1609.01454)
[NAACL 2021] This is the code for our paper `Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach'.
Pytorch implementation of "Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling" (https://arxiv.org/abs/1609.01454)
#自然语言处理#中文自然语言的实体抽取和意图识别（Natural Language Understanding），可选Bi-LSTM + CRF 或者 IDCNN + CRF
attention based joint model for intent detection and slot filling
基于pytorch的中文意图识别和槽位填充
Open source code for EMNLP-19 Paper "A Stack-Propagation Framework with Token-Level Intent Detection for Spoken Language Understanding".
#计算机科学#Joint Slot Filling and Intent Detection via Capsule Neural Networks (ACL'19) https://arxiv.org/abs/1812.09471