Papers by Jerónimo Arenas-García
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. |
Discrepancy Detection at the Data Level: Toward Consistent Multilingual Question Answering (2025.emnlp-main)
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Lorena Calvo-Bartolomé, Valérie Aldana, Karla Cantarero, Alonso Madroñal de Mesa, Jerónimo Arenas-García, Jordan Lee Boyd-Graber
| Challenge: | Multilingual question answering systems must ensure factual consistency across languages while also accounting for cultural variation in subjective responses. |
| Approach: | They propose a user-in-the-loop fact-checking pipeline to detect factual and cultural discrepancies in multilingual QA knowledge bases. |
| Outcome: | The proposed tool detects factual and cultural discrepancies in bilingual question answering systems. |
pAtChWoRK: Patching the Pieces of Public Procurement Documents (2026.acl-demo)
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| Challenge: | pAtChWoRK corrects manual classification errors and extracts complex unstructured fields such as award and solvency criteria and tenders’ objectives. |
| Approach: | pAtChWoRK corrects manual classification errors and extracts complex unstructured fields such as award and solvency criteria and tenders’ objectives. |
| Outcome: | pAtChWoRK corrects manual classification errors and extracts complex unstructured fields such as award and solvency criteria and tenders’ objectives. |