Model card
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README.md
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license: cc-by-nc-sa-4.0
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---
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---
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license: cc-by-nc-sa-4.0
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language:
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- en
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tags:
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- disfluency identification
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---
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# Model Card for Model ID
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<!-- Provide a quick summary of what the model is/does. -->
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This BERT model classifies a dialogue system's user utterance as fluent or disfluent.
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## Model Details
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### Model Description
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<!-- Provide a longer summary of what this model is. -->
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- **Developed by:** 4i Intelligent Insights
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- **Model type:** BERT base cased
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- **Language(s) (NLP):** English
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- **License:** cc-by-nc-sa-4.0
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### Model Sources
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<!-- Provide the basic links for the model. -->
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- **Repository:** To be announced
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- **Paper:** To be announced
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## Uses
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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The model is intended to be used for classifying English utterances of users interacting with a dialogue system. In our evaluation, the user utterances were speech transcriptions.
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## Out-of-Scope Use
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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This model has not been evaluated to be used on machine-generated text.
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## Bias, Risks, and Limitations
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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This model may not be accurate with non-native English speakers.
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## Training Data
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<!-- This should link to a Data Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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The model has been fine-tuned on the Fisher English Corpus:
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http://github.com/joshua-decoder/fisher-callhome-corpus
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