Data and codes for ACL 2021 paper: Towards Emotional Support Dialog Systems

Overview

Emotional-Support-Conversation

Copyright © 2021 CoAI Group, Tsinghua University. All rights reserved. Data and codes are for academic research use only.

Data and codes for the ACL 2021 paper: Towards Emotional Support Dialog Systems

If you use our codes or your research is related to our paper, please kindly cite our paper:

@inproceedings{liu-etal-2021-towards,
  title={Towards Emotional Support Dialog Systems},
  author={Liu, Siyang  and 
    Zheng, Chujie  and 
    Demasi, Orianna  and 
    Sabour, Sahand  and 
    Li, Yu  and 
    Yu, Zhou  and 
    Jiang, Yong  and 
    Huang, Minlie},
  booktitle={Proceedings of the 59th annual meeting of the Association for Computational Linguistics},
  year={2021}
}

Data

The corpus file is ESConv.json. We have collected more conversations with more problem topics. ESConv now contians 1,300 conversations with 10 topic problems.

Statistics

Problem Category

Problem Category ongoing depression breakup with partner job crisis problems with friends academic pressure procras-
tination*
alcohol abuse* issues with parent* sleep problems* appearance anxiety* school bullying* issues with children*
Number 351 239 280 179 156 13 12 18 28 12 2 10

* denotes the new topics added during the second collection. We hope new data supports the future research in transferring the ability of models from old topics to new ones.

Strategy Category

Strategy Category Number
Questions 3801(20.7%)
Self-disclosure 1713(9.3%)
Affirmation and Reassurance 2827(15.4%)
Providing Suggestions 2954(16.1%)
Other 3661(18.3%) / 3341(18.2%)
Reflection of feelings 1436(7.8%)
Information 1215(6.6%)
Restatement or Paraphrasing 1089(5.9%)

Model Implementation

We provide two versions of model implementation:

  • codes is the version that we used in the original experiments
  • codes_zcj is the version reproduced by @chujiezheng
Owner
Conversational AI groups from Tsinghua University
InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy

InferPy: Deep Probabilistic Modeling Made Easy InferPy is a high-level API for probabilistic modeling written in Python and capable of running on top

PGM-Lab 141 Oct 13, 2022
PyZebrascope - an open-source Python platform for brain-wide neural activity imaging in behaving zebrafish

PyZebrascope - an open-source Python platform for brain-wide neural activity imaging in behaving zebrafish

1 May 31, 2022
GraPE is a Rust/Python library for high-performance Graph Processing and Embedding.

GraPE GraPE (Graph Processing and Embedding) is a fast graph processing and embedding library, designed to scale with big graphs and to run on both of

AnacletoLab 194 Dec 29, 2022
An open-source outlier detection package by Getcontact Data Team

pyfbad The pyfbad library supports anomaly detection projects. An end-to-end anomaly detection application can be written using the source codes of th

Teknasyon Tech 41 Dec 27, 2022
Official codebase for Legged Robots that Keep on Learning: Fine-Tuning Locomotion Policies in the Real World

Legged Robots that Keep on Learning Official codebase for Legged Robots that Keep on Learning: Fine-Tuning Locomotion Policies in the Real World, whic

Laura Smith 70 Dec 07, 2022
Official PyTorch Implementation of Mask-aware IoU and maYOLACT Detector [BMVC2021]

The official implementation of Mask-aware IoU and maYOLACT detector. Our implementation is based on mmdetection. Mask-aware IoU for Anchor Assignment

Kemal Oksuz 46 Sep 29, 2022
Clockwork Convnets for Video Semantic Segmentation

Clockwork Convnets for Video Semantic Segmentation This is the reference implementation of arxiv:1608.03609: Clockwork Convnets for Video Semantic Seg

Evan Shelhamer 141 Nov 21, 2022
MPRNet-Cloud-removal: Progressive cloud removal

MPRNet-Cloud-removal Progressive cloud removal Requirements 1.Pytorch = 1.0 2.Python 3 3.NVIDIA GPU + CUDA 9.0 4.Tensorboard Installation 1.Clone the

Semi 95 Dec 18, 2022
Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners

DART Implementation for ICLR2022 paper Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners. Environment

ZJUNLP 83 Dec 27, 2022
Official code repository of the paper Learning Associative Inference Using Fast Weight Memory by Schlag et al.

Learning Associative Inference Using Fast Weight Memory This repository contains the offical code for the paper Learning Associative Inference Using F

Imanol Schlag 18 Oct 12, 2022
SSL_SLAM2: Lightweight 3-D Localization and Mapping for Solid-State LiDAR (mapping and localization separated) ICRA 2021

SSL_SLAM2 Lightweight 3-D Localization and Mapping for Solid-State LiDAR (Intel Realsense L515 as an example) This repo is an extension work of SSL_SL

Wang Han 王晗 1.3k Jan 08, 2023
A simple rest api serving a deep learning model that classifies human gender based on their faces. (vgg16 transfare learning)

this is a simple rest api serving a deep learning model that classifies human gender based on their faces. (vgg16 transfare learning)

crispengari 5 Dec 09, 2021
一个运行在 𝐞𝐥𝐞𝐜𝐕𝟐𝐏 或 𝐪𝐢𝐧𝐠𝐥𝐨𝐧𝐠 等定时面板的签到项目

定时面板上的签到盒 一个运行在 𝐞𝐥𝐞𝐜𝐕𝟐𝐏 或 𝐪𝐢𝐧𝐠𝐥𝐨𝐧𝐠 等定时面板的签到项目 𝐞𝐥𝐞𝐜𝐕𝟐𝐏 𝐪𝐢𝐧𝐠𝐥𝐨𝐧𝐠 特别声明 本仓库发布的脚本及其中涉及的任何解锁和解密分析脚本,仅用于测试和学习研究,禁止用于商业用途,不能保证其合

Leon 1.1k Dec 30, 2022
A simple Rock-Paper-Scissors game using CV in python

ML18_Rock-Paper-Scissors-using-CV A simple Rock-Paper-Scissors game using CV in python For IITISOC-21 Rules and procedure to play the interactive game

Anirudha Bhagwat 3 Aug 08, 2021
Food recognition model using convolutional neural network & computer vision

Food recognition model using convolutional neural network & computer vision. The goal is to match or beat the DeepFood Research Paper

Hemanth Chandran 1 Jan 13, 2022
GrailQA: Strongly Generalizable Question Answering

GrailQA is a new large-scale, high-quality KBQA dataset with 64,331 questions annotated with both answers and corresponding logical forms in different syntax (i.e., SPARQL, S-expression, etc.). It ca

OSU DKI Lab 76 Dec 21, 2022
This is the repo for Uncertainty Quantification 360 Toolkit.

UQ360 The Uncertainty Quantification 360 (UQ360) toolkit is an open-source Python package that provides a diverse set of algorithms to quantify uncert

International Business Machines 207 Dec 30, 2022
Atif Hassan 103 Dec 14, 2022
CARL provides highly configurable contextual extensions to several well-known RL environments.

CARL (context adaptive RL) provides highly configurable contextual extensions to several well-known RL environments.

AutoML-Freiburg-Hannover 51 Dec 28, 2022
Pre-Training 3D Point Cloud Transformers with Masked Point Modeling

Point-BERT: Pre-Training 3D Point Cloud Transformers with Masked Point Modeling Created by Xumin Yu*, Lulu Tang*, Yongming Rao*, Tiejun Huang, Jie Zho

Lulu Tang 306 Jan 06, 2023