Papers by Yoram Louzoun
D2CS - Documents Graph Clustering using LLM supervision (2025.findings-emnlp)
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| Challenge: | Document clustering does not inherently ensure thematic consistency. |
| Approach: | They propose a framework that constructs a similarity graph over document embeddings and applies iterative graph-based clustering algorithms to partition the corpus into initial clusters. |
| Outcome: | The proposed framework constructs a similarity graph over document embeddings and applies iterative graph-based clustering algorithms to partition the corpus into initial clusters. |
Data-driven Coreference-based Ontology Building (2024.findings-emnlp)
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| Challenge: | a new ontology is based on coreference resolution, but it is not comprehensive . a recent study found that ontologies categorize concepts into groups and arrange them in a hierarchy . |
| Approach: | They derive coreference chains from a corpus of 30 million biomedical abstracts and construct a graph based on the string phrases within these chains. |
| Outcome: | The proposed ontology overlaps significantly with human-authored ontologies. |