Papers by Dominik Schwabe
Indicative Summarization of Long Discussions (2023.emnlp-main)
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| Challenge: | Using large language models, we generate indicative summaries instead of informative summary for long discussions. |
| Approach: | They propose an unsupervised approach to generating indicative summaries using large language models using large-scale language models. |
| Outcome: | The proposed method clusters argument sentences, generates abstractive summaries, and classifies the generated cluster labels into argumentation frames. |
SUMMARY WORKBENCH: Unifying Application and Evaluation of Text Summarization Models (2022.emnlp-demos)
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| Challenge: | Summary Workbench is a tool for developing and evaluating text summarization models. |
| Approach: | They propose a tool for developing and evaluating text summarization models that integrates with Docker plugins and provides visual analysis of models’ strengths and weaknesses. |
| Outcome: | The proposed model and evaluation measures can be easily integrated as Docker-based plugins and provide insights into the models’ strengths and weaknesses. |