Popular GitHub Repositories for Slot

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"

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

A TensorFlow implementation of Recurrent Neural Networks for Sequence Classification and Sequence Labeling

Implementation of Slot Attention from GoogleAI

This is the template code to use BERT for sequence lableing and text classification, in order to facilitate BERT for more tasks. Currently, the template code has included conll-2003 named entity identification, Snips 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

[EMNLP 2020] OpenUE: An Open Toolkit of Universal Extraction from Text

[NAACL 2021] This is the code for our paper `Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach'.

基于pytorch的中文意图识别和槽位填充

Pytorch implementation of "Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling" (https://arxiv.org/abs/1609.01454)

attention based joint model for intent detection and slot filling

A Chatbot for ordering a pizza that demonstrates how using the IBM Watson Assistant Slots feature, one can fill out an order, form, or profile.

keras attentional bi-LSTM-CRF for Joint NLU (slot-filling and intent detection) with ATIS

?? 聊天机器人——夫子的「自然语言理解」模块

BERT-based joint intent detection and slot filling with intent-slot attention mechanism (INTERSPEECH 2021)