ALIGNMEET: A Comprehensive Tool for Meeting Annotation, Alignment, and Evaluation
Peter Pol\'ak, Muskaan Singh, Anna Nedoluzhko, Ond\v{r}ej Bojar

TL;DR
ALIGNMEET is an open-source, comprehensive tool designed to facilitate annotation, alignment, and evaluation of meeting summaries, especially for multi-party dialogues, improving efficiency and accuracy in research and development.
Contribution
The paper introduces ALIGNMEET, the first tool that combines annotation, alignment, and evaluation functionalities specifically for meeting summaries.
Findings
Provides an efficient annotation interface.
Includes a comprehensive evaluation mode.
Available as open source on PyPI.
Abstract
Summarization is a challenging problem, and even more challenging is to manually create, correct, and evaluate the summaries. The severity of the problem grows when the inputs are multi-party dialogues in a meeting setup. To facilitate the research in this area, we present ALIGNMEET, a comprehensive tool for meeting annotation, alignment, and evaluation. The tool aims to provide an efficient and clear interface for fast annotation while mitigating the risk of introducing errors. Moreover, we add an evaluation mode that enables a comprehensive quality evaluation of meeting minutes. To the best of our knowledge, there is no such tool available. We release the tool as open source. It is also directly installable from PyPI.
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Taxonomy
TopicsSemantic Web and Ontologies · Advanced Text Analysis Techniques · Topic Modeling
