Papers by Ken Satoh

2 papers
CovRelex-SE: Adding Semantic Information for Relation Search via Sequence Embedding (2023.eacl-demo)

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Challenge: COVID-19 has affected all aspects of human life, causing problems related to acronyms, synonyms, and rare keywords.
Approach: They propose a hybrid relation retrieval system based on embeddings to provide high-quality search results.
Outcome: The proposed system can be accessed through the following URL: http://www.jaist.ac.jp/is/labs/nguyen-lab/systems/covrelex-se/.
CovRelex: A COVID-19 Retrieval System with Relation Extraction (2021.eacl-demos)

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Challenge: Existing challenges to making the system more practical include dealing with newly created and unknown data, and solving the performance gap when utilizing present data.
Approach: They propose a scientific paper retrieval system targeting entities and relations via relation extraction on COVID-19 scientific papers.
Outcome: The proposed system can be accessed via https://www.jaist.ac.jp/is/labs/nguyen-lab/systems/covrelex/.

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