基于网络科技信息的事件抽取研究

Research on Event Extraction from Networks Scientific Information

【目的/意义】为了帮助科研人员从海量信息中发现热点和重大研究进展,抽取出有用的事件信息。【方法/过程】采用条件随机场方法和语义角色标注技术,构建了模型进行训练和学习。【结果/结论】提出了科技事件抽取框架,实现了科技事件抽取系统,取得了一定的抽取效果,该系统的可扩展性和可移植性有待提高。

【Purpose/significance】To help researchers discover hot spots and the major findings from the mass information and extract useful event information.【Method/process】The paper uses conditional random fields method and semantic roles labelling, and builds model to train and learn.【Result/conclusion】Put forward the scientific event extraction framework,realize it and achieve a certain effect.The scalability and portability of the system need to be further improved.