Extending A Logic-Based Question Answering System For Administrative Texts

CLEF'09: Proceedings of the 10th cross-language evaluation forum conference on Multilingual information access evaluation: text retrieval experiments(2010)

引用 2|浏览4
暂无评分
摘要
LogAnswer is a question answering (QA) system for German that uses machine learning for integrating logic-based and shallow (lexical) validation features. For ResPubliQA 2009, LogAnswer was adjusted to specifics of administrative texts, as found in the JRC Acquis corpus. Moreover, support for a broader class of questions relevant to the domain was added, including questions that ask for a purpose, reason, or procedure. Results confirm the success of these measures to prepare LogAnswer for ResPubliQA, and of the general consolidation of the system. According to the C@1/Best IR baseline metric that tries to abstract from the language factor, LogAnswer was the third best of eleven systems participating in ResPubliQA. The system was especially successful at detecting wrong answers, with 73% correct rejections.
更多
查看译文
关键词
Wrong Answer, Question Answering, Validation Feature, Question Category, Permanent Pasture
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要