Natural Language Querying System Through Entity Enrichment
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arXiv
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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
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| _version_ | 1866909357465141248 |
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| author | Amavi, Joshua Ferrari, Mirian Halfeld Hiot, Nicolas |
| author_facet | Amavi, Joshua Ferrari, Mirian Halfeld Hiot, Nicolas |
| contents | This paper focuses on a domain expert querying system over databases. It presents a solution designed for a French enterprise interested in offering a natural language interface for its clients. The approach, based on entity enrichment, aims at translating natural language queries into database queries. In this paper, the database is treated through a logical paradigm, suggesting the adaptability of our approach to different database models. The good precision of our method is shown through some preliminary experiments. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2410_15753 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Natural Language Querying System Through Entity Enrichment Amavi, Joshua Ferrari, Mirian Halfeld Hiot, Nicolas Computation and Language Databases This paper focuses on a domain expert querying system over databases. It presents a solution designed for a French enterprise interested in offering a natural language interface for its clients. The approach, based on entity enrichment, aims at translating natural language queries into database queries. In this paper, the database is treated through a logical paradigm, suggesting the adaptability of our approach to different database models. The good precision of our method is shown through some preliminary experiments. |
| title | Natural Language Querying System Through Entity Enrichment |
| topic | Computation and Language Databases |
| url | https://arxiv.org/abs/2410.15753 |