Lightweight Natural Language Database Interfaces
| Autor: | Jong-Hyeok Lee, Gijoo Yang, In-Su Kang, Seung-Hoon Na |
|---|---|
| Rok vydání: | 2004 |
| Předmět: |
Database
Machine translation Synonym Computer science business.industry Database schema computer.software_genre Example-based machine translation Rule-based machine translation Schema (psychology) Question answering Computer-assisted translation Artificial intelligence business computer Natural language Natural language processing |
| Zdroj: | Natural Language Processing and Information Systems ISBN: 9783540225645 NLDB |
| DOI: | 10.1007/978-3-540-27779-8_7 |
| Popis: | Most natural language database interfaces suffer from the translation knowledge portability problem, and are vulnerable to ill-formed questions because of their deep analysis. To alleviate those problems, this paper proposes a lightweight approach to natural language interfaces, where translation knowledge is semi-automatically acquired and user questions are only syntactically analyzed. For the acquisition of translation knowledge, first, a target database is reverse-engineered into a physical database schema on which domain experts annotate linguistic descriptions to produce a pER (physically-derived Entity-Relationship) schema. Next, from the pER schema, initial translation knowledge is automatically extracted. Then, it is extended with synonyms from lexical databases. In the stage of question answering, this semi-automatically constructed translation knowledge is then used to resolve translation ambiguities. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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