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# Semantic Textual Similarity
## ❓ Purpose
The overarching goal of this project is to increase the understanding of masked language models (MLM) and bring forth new ideas about their way of functioning. We will specifically look at SBERT models, which are fine-tuned only on NLI. For more details, please see our [project outline](https://gitlab.cl.uni-heidelberg.de/reichelt/semantic-textual-similarity/-/blob/master/project_outline_sts.pdf).
The overarching goal of this project is to increase the understanding of masked language models (MLM) and bring forth new ideas about their way of functioning. We will specifically look at SBERT models, which are fine-tuned only on NLI. For more details, please see our [project outline](https://gitlab.cl.uni-heidelberg.de/reichelt/semantic-textual-similarity/-/blob/master/project_outline_sts.pdf). There you can also find information on the models and data sets we used.
## GitLab
This project can be accessed on [GitLab](https://gitlab.cl.uni-heidelberg.de/reichelt/semantic-textual-similarity) by any logged in user.
