GithubHelp home page GithubHelp logo

morecry / misc Goto Github PK

View Code? Open in Web Editor NEW
35.0 35.0 1.0 2 KB

This is the repository of our ACL 2022 paper MISC: A MIxed Strategy-Aware Model Integrating COMET for Emotional Support ConversatioN

misc's People

Contributors

morecry avatar

Stargazers

 avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar

Watchers

 avatar  avatar  avatar  avatar  avatar  avatar

Forkers

tebmer

misc's Issues

Broken zip file

Hello, the zip file in google drive is broken. Could you re-up your code please? Thanks

Questions when replicating

Hello,

I was replicating your experiments, and there were some bugs in the code.

  1. When running "BlenderEmotionalSupport.py", the sample number of "chat_texts" is inconsistent with that of "comet_st" in line 1183;
  2. I tried to reconstruct the "comet_st", but a missing file, named "Situation2Comet.txt", made me stoped;
  3. Unfortunately, no other public files can output the "Situation2Comet.txt";

Could you please share more codes or help me figure it out?
Thanks a lot!

I implemented the code but the Performance is not similar to the paper.

After many tries. I have implemented the code.

I have two questions.

  1. How did you select the lowest ppl checkpoint? In my case, I trained the model twice, first to see the checkpoints and evals results, then I manually break the training on the checkpoint with the lowest ppl, then train and evaluate the model. Below is the eval result. (the lowest ppl is 16.21 around)
  2. Why my eval result is high? Is there something I might be missing? Despite the hyperparameters are the same as in paper.

This is the evaluation result, after training in the same parameter in the paper exp. setup:

{"length": 19.346938775510203, "dist-1": 3.9611914472871095, "dist-2": 17.547699947726084, "dist-3": 32.19769174782518, "bleu-1": 19.537415536727647, "bleu-2": 8.045721170784967, "bleu-3": 4.084835823220594, "bleu-4": 2.3918514292851243, "f1": 20.91022932286169, "rouge-l": 17.504459395975523}

Then lengths of dataset and comet file do not match.

Hi,

When I run your code to train model, it reports an error at the line assert len(df) == len(comet) == len(comet_st), and I find that their lengths are not the same (e.g. for test dataset, one is 1764, the other is 1365). So, how can I solve this problem. Thanks a lot!
image
image

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.