Open source code for Paper "A Co-Interactive Transformer for Joint Slot Filling and Intent Detection"

Last update: Dec 05, 2022

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Overview

A Co-Interactive Transformer for Joint Slot Filling and Intent Detection

This repository contains the PyTorch implementation of the paper:

A Co-Interactive Transformer for Joint Slot Filling and Intent Detection. Libo Qin, TaiLu Liu, Wanxiang Che, bingbing Kang, Sendong Zhao, Ting Liu.

If you use any source codes or the datasets included in this toolkit in your work, please cite the following paper. The bibtex are listed below:

In the following, we will guide you how to use this repository step by step.

Architecture

Results

Preparation

Our code is based on PyTorch 1.2. Required python packages:

numpy==1.18.1
tqdm==4.32.1
torch==1.2.0

We highly suggest you using Anaconda to manage your python environment.

How to run training:

python main_joint.py

Change dataset:

Modify data_path in config.py

If you have any question, please issue the project or email me and we will reply you soon.

Owner

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Open source code for Paper "A Co-Interactive Transformer for Joint Slot Filling and Intent Detection"

Related tags

Overview

A Co-Interactive Transformer for Joint Slot Filling and Intent Detection

Architecture

Results

Preparation

How to run training:

Change dataset:

Owner

MDMM - Learning multi-domain multi-modality I2I translation

Collection of common code that's shared among different research projects in FAIR computer vision team.

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Open source code for Paper "A Co-Interactive Transformer for Joint Slot Filling and Intent Detection"

Related tags

Overview

A Co-Interactive Transformer for Joint Slot Filling and Intent Detection

Architecture

Results

Preparation

How to run training:

Change dataset:

Owner

MDMM - Learning multi-domain multi-modality I2I translation

Collection of common code that's shared among different research projects in FAIR computer vision team.

yolov5 deepsort 行人 车辆 跟踪 检测 计数

Implements a fake news detection program using classifiers.

PyTorch implementation of a collections of scalable Video Transformer Benchmarks.

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

repro_eval is a collection of measures to evaluate the reproducibility/replicability of system-oriented IR experiments

MoveNet Single Pose on DepthAI

Official PyTorch Implementation for "Recurrent Video Deblurring with Blur-Invariant Motion Estimation and Pixel Volumes"

Code For TDEER: An Efficient Translating Decoding Schema for Joint Extraction of Entities and Relations (EMNLP2021)

Official Implementation of "LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks"

To model the probability of a soccer coach leave his/her team during Campeonato Brasileiro for 10 chosen teams and considering years 2018, 2019 and 2020.

Implementation of Shape Generation and Completion Through Point-Voxel Diffusion

basic tutorial on pytorch

Pytorch0.4.1 codes for InsightFace

"Domain Adaptive Semantic Segmentation without Source Data" (ACM MM 2021)

Clean Machine Learning, a Coding Kata

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Official implementation of NeurIPS'21: Implicit SVD for Graph Representation Learning

NL-Augmenter 🦎 → 🐍 A Collaborative Repository of Natural Language Transformations

yolov5 deepsort 行人车辆跟踪检测计数