Papers by Lorena Calvo Bartolomé
CASE: Large Scale Topic Exploitation for Decision Support Systems (2025.coling-demos)
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| Challenge: | Topic models are still a major tool for information retrieval and summarization, but their integration into decision-making systems is limited. |
| Approach: | They propose a tool for exploiting topic information for semantic analysis of large corpora using a Solr engine and a customized indexing strategy. |
| Outcome: | The proposed approach can be used to analyze large corpora and perform thematic trend analysis, topic-based document retrieval, or similarity search. |
ITMT: Interactive Topic Model Trainer (2023.eacl-demo)
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| Challenge: | Topic Modeling is a commonly used technique for analyzing unstructured data, but achieving accurate results and useful models can be challenging. |
| Approach: | They propose to use an interactive topic model trainer to train and curation topic extraction libraries and compare it with other tools for topic modeling analysis. |
| Outcome: | The proposed tool is compared with other tools for topic modeling analysis. |