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AutoCounterspeech
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Shane Weisz commited on
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eca9a50
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1 Parent(s): 824a069

Move system description to below

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Files changed (1) hide show
  1. app.py +3 -3
app.py CHANGED
@@ -6,12 +6,12 @@ DECODING_CONFIG = {"max_new_tokens": 100, "min_new_tokens": 20, "no_repeat_ngram
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  TITLE = "Automating Counterspeech in Dialogue Systems"
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  DESCRIPTION = """
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- This system has been built by [Shane Weisz](https://shaneweisz.com) for his research project on _Automating Counterspeech in Dialogue Systems_ as part of the [MPhil in Machine Learning and Machine Intelligence](https://www.mlmi.eng.cam.ac.uk/) at Cambridge University. The project is supervised by [Dr Marcus Tomalin](https://www.crassh.cam.ac.uk/about/people/marcus-tomalin/) and forms part of the [Giving Voice to Digital Democracies](https://www.crassh.cam.ac.uk/research/projects-centres/giving-voice-to-digital-democracies/) project on the _The Social Impact of Artificially Intelligent Communications Technology_.
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- <br/><br/>
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- **Try it out**: Enter a hate speech comment (or select one of the provided examples below), click Submit, and see if the system generates an appropriate counterspeech response.
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  """
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  ARTICLE = f"""
 
 
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  The system is built by fine-tuning [DialoGPT](https://huggingface.co/microsoft/DialoGPT-medium#:~:text=DialoGPT%20is%20a%20SOTA%20large,single%2Dturn%20conversation%20Turing%20test) on the [MultiCONAN](https://github.com/marcoguerini/CONAN#Multitarget-CONAN) dataset, a dataset comprising a set of hate speech inputs and appropriate [counterspeech](https://dangerousspeech.org/counterspeech/) responses produced under the supervision of trained NGO operators from [Stop Hate UK](https://www.stophateuk.org/).
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  <br/><br/>
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  **Model:** {DEFAULT_MODEL}<br>
 
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  TITLE = "Automating Counterspeech in Dialogue Systems"
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  DESCRIPTION = """
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+ Enter a hate speech comment (or select one of the provided examples below), click Submit, and see if the system generates an appropriate counterspeech response.
 
 
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  """
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  ARTICLE = f"""
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+ This system has been built by [Shane Weisz](https://shaneweisz.com) for his research project on _Automating Counterspeech in Dialogue Systems_ as part of the [MPhil in Machine Learning and Machine Intelligence](https://www.mlmi.eng.cam.ac.uk/) at Cambridge University. The project is supervised by [Dr Marcus Tomalin](https://www.crassh.cam.ac.uk/about/people/marcus-tomalin/) and forms part of the [Giving Voice to Digital Democracies](https://www.crassh.cam.ac.uk/research/projects-centres/giving-voice-to-digital-democracies/) project on the _The Social Impact of Artificially Intelligent Communications Technology_.
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+ <br/><br/>
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  The system is built by fine-tuning [DialoGPT](https://huggingface.co/microsoft/DialoGPT-medium#:~:text=DialoGPT%20is%20a%20SOTA%20large,single%2Dturn%20conversation%20Turing%20test) on the [MultiCONAN](https://github.com/marcoguerini/CONAN#Multitarget-CONAN) dataset, a dataset comprising a set of hate speech inputs and appropriate [counterspeech](https://dangerousspeech.org/counterspeech/) responses produced under the supervision of trained NGO operators from [Stop Hate UK](https://www.stophateuk.org/).
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  <br/><br/>
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  **Model:** {DEFAULT_MODEL}<br>