An open source library for deep learning end-to-end dialog systems and chatbots.
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Updated
May 31, 2024 - Python
An open source library for deep learning end-to-end dialog systems and chatbots.
Snips Python library to extract meaning from text
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)
Pytorch implementation of JointBERT: "BERT for Joint Intent Classification and Slot Filling"
A TensorFlow implementation of Recurrent Neural Networks for Sequence Classification and Sequence Labeling
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 and other forms of collaboration.
Slot-Gated Modeling for Joint Slot Filling and Intent Prediction
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
Tensorflow implementation of "Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling" (https://arxiv.org/abs/1609.01454)
On-device Speech-to-Intent engine powered by deep learning
[ACL 2021] Learning Dense Representations of Phrases at Scale; EMNLP'2021: Phrase Retrieval Learns Passage Retrieval, Too https://arxiv.org/abs/2012.12624
attention based joint model for intent detection and slot filling
[EMNLP 2020] OpenUE: An Open Toolkit of Universal Extraction from Text
Pytorch implementation of "Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling" (https://arxiv.org/abs/1609.01454)
Spoken Language Understanding(SLU)/Slot Filling in Keras
Open source code for EMNLP-19 Paper "A Stack-Propagation Framework with Token-Level Intent Detection for Spoken Language Understanding".
BERT-based joint intent detection and slot filling with intent-slot attention mechanism (INTERSPEECH 2021)
Open source code for EMNLP 2020 Findings Paper "AGIF: An Adaptive Graph-Interactive Framework for Joint Multiple Intent Detection and Slot Filling"
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