计算机工程与应用2024，Vol.60Issue(5)：130-138,9.DOI:10.3778/j.issn.1002-8331.2210-0271
联合多意图识别与语义槽填充的双向交互模型
Bidirectional Interaction Model for Joint Multiple Intent Detection and Slot Filling
摘要
Abstract
Intent detection and slot filling are the two major tasks of spoken language understanding,which are highly correlated and are usually trained jointly.As the spoken language understanding task progresses,it has been found that users'utterances in real-life scenarios often contain multiple intents.However,some joint models can only detect a single intent in user utterances and fail to adequately model the correlation between multiple intents and slots.Since the informa-tion of multiple intents in the utterance can guide the slot filling and the slot information can also help the better detection of intents.The Label Bi-Interaction model uses the graph attention network to establish a two-way interaction between intents and slots.Specifically,Label Bi-Interaction model associates two tasks bidirectionally so that the model can explore the relationship between multiple intents and slots,and introduces the label information of the two tasks to enable the model to learn the relationship between utterance context and labels.This improves the accuracy of intent detection and slot filling and optimizes the overall performance of spoken language understanding.Experiments show that the performance of the model on the MixATIS and MixSNIPS two multi-intent datasets has been significantly improved compared to other models.关键词
口语理解/多意图识别/语义槽填充/联合模型Key words
spoken language understanding/multi-intent detection/slot filling/joint model分类
信息技术与安全科学引用本文复制引用
李实,孙镇鹏..联合多意图识别与语义槽填充的双向交互模型[J].计算机工程与应用,2024,60(5):130-138,9.基金项目
黑龙江省博士后科学基金(LBH-Z20104). （LBH-Z20104）
