计算机工程与应用2024，Vol.60Issue(10)：121-131,11.DOI:10.3778/j.issn.1002-8331.2301-0152
两阶段问答范式的生物医学事件触发词检测
Biomedical Event Trigger Detection Based on Two-Stage Question Answering Paradigm
摘要
Abstract
The existing biomedical event trigger detection methods have the following defects:Redundant information unrelated to triggers are retained;potential correlations between entities and events are ignored;traditional methods are vulnerable to data scarcity.A biomedical event trigger detection based on two-stage question answering paradigm is pro-posed to address the above problems.In the event type identification phase,in order to exclude the interference of irrele-vant information,the attention based on syntactic distance is allowed to capture more meaningful contextual features.In order to effectively utilize the potential features in the entities,the word-entity-event co-occurrence feature based on global statistics is used to guide event type aware attention to explore the strong relationship between words and events.In the trigger localization phase,the trigger index of the event in the sentence is answered according to the identified event type questions,thus leveraging the rich question answering database to achieve data enhancement.The results on the MLEE corpus show that the two-stage question answering paradigm,syntactic distance attention,and event type aware attention effectively improve the performance of the model,and the proposed model achieves 81.39%F1-score,outperforming other baseline models in terms of detailed results for multiple event types.关键词
生物医学事件/触发词检测/句法距离/单词-实体-事件共现特征/两阶段问答范式Key words
biomedical events/trigger detection/syntactic distance/word-entity-event co-occurrence feature/two-stage question answering paradigm分类
计算机与自动化引用本文复制引用
行帅,熊玉洁,苏前敏,黄继汉..两阶段问答范式的生物医学事件触发词检测[J].计算机工程与应用,2024,60(10):121-131,11.基金项目
上海市科技创新行动计划技术标准项目(21DZ2203100) （21DZ2203100）
国家自然科学基金(62006150). （62006150）
