Seo et al., 2023 - Google Patents
Performance comparison of passage retrieval models according to Korean language tokenization methodsSeo et al., 2023
- Document ID
- 3464689141212726807
- Author
- Seo W
- Sakthivel V
- Min D
- Lee J
- Choi E
- Publication year
- Publication venue
- 2023 15th International Conference on Advanced Computational Intelligence (ICACI)
External Links
Snippet
Recently, NLP (Natural Language Process) is required in question-answering technology in many fields such as chatbots and AI speakers. Accordingly, companies and communities are conducting research on Open Domain Question Answering (ODQA), which is required to …
Classifications
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- G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F17/30634—Querying
- G06F17/30657—Query processing
- G06F17/30675—Query execution
- G06F17/30684—Query execution using natural language analysis
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