attention based joint model for intent detection and slot filling
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Updated
Dec 28, 2017 - Python
attention based joint model for intent detection and slot filling
This repository provides an insight into ventures of framing an intelligent Command line interface (CLI) for UNIX Based Systems.
Paper: A Simple and Effective Neural Model for Joint Word Segmentation and POS Tagging
Code for http://lic2019.ccf.org.cn/kg 信息抽取。使用基于 BERT 的实体抽取和关系抽取的端到端的联合模型。
Multiple-Relations-Extraction-Only-Look-Once. Just look at the sentence once and extract the multiple pairs of entities and their corresponding relations. 端到端联合多关系抽取模型,可用于 http://lic2019.ccf.org.cn/kg 信息抽取。
BERT for joint intent classification and slot filling
Implementation of Interactive Multi-Grained Joint Model for Targeted Sentiment Analysis (CIKM 2019) by TensorFlow
Slot filling and intent classification - made for the purpose of qualification
implementation of "BERT for Joint Intent Classification and Slot Filling" in Tensorflow
Joint text classification on multiple levels with multiple labels, using a multi-head attention mechanism to wire two prediction tasks together.
The paper accept by MobiSocial2021.
Slot-Gated Modeling for Joint Slot Filling and Intent Prediction
Implementation of our papers Joint entity recognition and relation extraction as a multi-head selection problem (Expert Syst. Appl, 2018) and Adversarial training for multi-context joint entity and relation extraction (EMNLP, 2018).
One of the main NLU tasks is to understand the intents (sequence classification) and slots (entities within the sequence). This repo help classify both together using Joint Model (multitask model). BERT_SMALL is used which can be changed to any other BERT variant.
Joint Extraction of Entities and Relations
[AAAI 2020] Official repository of JSI-GAN.
[AAAI 2020] Official repository of FISR.
This repository contains the implementation of an efficient joint beat, downbeat, tempo, and meter tracking system using a compact 1D probabilistic state space and a jump-back reward technique. ICASSP 2022.
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