A very basic intent and entity classifier for chat assistant
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Updated
Oct 10, 2017 - Python
A very basic intent and entity classifier for chat assistant
attention based joint model for intent detection and slot filling
A TensorFlow implementation of Recurrent Neural Networks for Sequence Classification and Sequence Labeling
BERT for joint intent classification and slot filling
Intent detection and Slot filling
Slot filling and intent classification - made for the purpose of qualification
implementation of "BERT for Joint Intent Classification and Slot Filling" in Tensorflow
Intent Classification using the Fluent Speech Commands Dataset
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
Open source code for EMNLP-19 Paper "A Stack-Propagation Framework with Token-Level Intent Detection for Spoken Language Understanding".
Natural language understanding library for chatbots with intent recognition and entity extraction.
NLU: Supervised intent classification & slot filling based on SlotRefine MultiHeaded Attention model
2021 CCF BDCI 全国信息检索挑战杯(CCIR-Cup)智能人机交互自然语言理解赛道第二名参赛解决方案
This is chatbot that lets you implement custom python skills in a simple way. It features intent recognition and entity detection using a simple implementation interface.
Open source code for EMNLP 2020 Findings Paper "AGIF: An Adaptive Graph-Interactive Framework for Joint Multiple Intent Detection and Slot Filling"
[RA-L20] Long-Term Pedestrian Trajectory Prediction Using Mutable Intention Filter and Warp LSTM
Deep Open Intent Classification with Adaptive Decision Boundary (AAAI 2021)
[Under Progress] Code & Data for the AAAI 2020 Paper "Likelihood Ratios and Generative Classifiers For Unsupervised OOD Detection In Task-Based Dialog" - Varun Gangal, Abhinav Arora, Arash Einolghozati, Sonal Gupta
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