Enriching WordNet Concepts with Topic Signatures: Difference between revisions
Created page with "Title: Enriching WordNet Concepts with Topic Signatures Research Question: Can the content of existing ontologies like WordNet be enriched using topic signatures, and will this improvement enhance the performance of word sense disambiguation tasks? Methodology: The researchers proposed a method to enrich WordNet concepts by associating each concept with a "topic signature," which is a set of related words with associated weights. These signatures could be automatically..." |
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Implications: This research suggests that enriching WordNet concepts with topic signatures can enhance the performance of word sense disambiguation tasks. It also provides a potential solution to the issue of lacking topical links among concepts in existing ontologies. The research could be further expanded to explore other methods of enriching ontologies and to investigate the performance of the enriched ontologies in other tasks. | Implications: This research suggests that enriching WordNet concepts with topic signatures can enhance the performance of word sense disambiguation tasks. It also provides a potential solution to the issue of lacking topical links among concepts in existing ontologies. The research could be further expanded to explore other methods of enriching ontologies and to investigate the performance of the enriched ontologies in other tasks. | ||
Link to Article: https://arxiv.org/abs/ | Link to Article: https://arxiv.org/abs/0109031v2 | ||
Authors: | Authors: | ||
arXiv ID: | arXiv ID: 0109031v2 | ||
[[Category:Computer Science]] | [[Category:Computer Science]] | ||
Latest revision as of 02:53, 24 December 2023
Title: Enriching WordNet Concepts with Topic Signatures
Research Question: Can the content of existing ontologies like WordNet be enriched using topic signatures, and will this improvement enhance the performance of word sense disambiguation tasks?
Methodology: The researchers proposed a method to enrich WordNet concepts by associating each concept with a "topic signature," which is a set of related words with associated weights. These signatures could be automatically constructed from the World Wide Web or from sense-tagged corpora. The researchers compared and evaluated these approaches on a word sense disambiguation task.
Results: The study found that it is possible to construct clean signatures from the World Wide Web using some filtering techniques. The results showed that the topic signatures improved the performance of word sense disambiguation tasks.
Implications: This research suggests that enriching WordNet concepts with topic signatures can enhance the performance of word sense disambiguation tasks. It also provides a potential solution to the issue of lacking topical links among concepts in existing ontologies. The research could be further expanded to explore other methods of enriching ontologies and to investigate the performance of the enriched ontologies in other tasks.
Link to Article: https://arxiv.org/abs/0109031v2 Authors: arXiv ID: 0109031v2