图 书 馆
QA4IE：一种基于问答的信息提取框架QA4IE: A Question Answering based Framework for Information Extraction |
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| 课程网址: | http://videolectures.net/iswc2018_qiu_qa4ie_question/ |
| 主讲教师: | Lin Qiu |
| 开课单位: | 上海交通大学 |
| 开课时间: | 2018-10-22 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Information Extraction (IE) refers to automatically extracting structured relation tuples from unstructured texts. Common IE solutions, including Relation Extraction (RE) and open IE systems, can hardly handle cross-sentence tuples, and are severely restricted by limited relation types as well as informal relation specifications (e.g., free-text based relation tuples). In order to overcome these weaknesses, we propose a novel IE framework named QA4IE, which leverages the flexible question answering (QA) approaches to produce high quality relation triples across sentences. Based on the framework, we develop a large IE benchmark with high quality human evaluation. This benchmark contains 293K documents, 2M golden relation triples, and 636 relation types. We compare our system with some IE baselines on our benchmark and the results show that our system achieves great improvements. |
| 关 键 词: | 从非结构化文本中自动提取; 结构化关系元组; IE解决方案; 灵活的问答 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2022-12-30：cyh |
| 最后编审: | 2023-05-15：cyh |
| 阅读次数: | 26 |