时态信息检索研究综述
Reviews on Temporal Information Retrieval
[目的] 总结国内外时态信息检索研究现状,以期为相关学者更好地把握时态信息检索研究问题提供理论基础。 [文献范围]在时态信息检索领域中,关于时态信息抽取、查询中时态信息识别以及时态感知排序等方面的主要研究成果以及相关中英文文献。 [方法]基于文献调研与归纳总结方法,分别从文档中时段信息抽取、查询间段信息识别和时间感知排序三方面对时态信息检索的相关研究进行了综述与评述。 [结果] 了解了当前时态信息检索研究的最新进展与研究不足。 [局限] 未对该领域的文档采集、文档索引以及相关应用进行文献综述。 [结论] 研究发现时态信息检索研究存在着如下问题和挑战:国外对时态检索研究比较多,而国内的相关研究甚少;利用表征时间信息的实体与事件演化信息来识别文档关注时间的相关研究不足; 缺乏对非周期变化查询的意图预测; 时间态信息检索模型实验的可重复性有待提高。
[Purpose] This study aims to summarize the research status of temporal information retrieval (T-IR) and to provide theoretical basis for the study of the relevant scholars to better grasp the T-IR problems. [Coverage] We reviewd Chinese and English literatures on the extracting temporal information from document, identifying temporal information in queries and termporal ranking model from the the filed of Temporal Information Retrieval. [Methods] Based on method of literature survey and methods of inducting and summarizing, a survey of the existing literature on temporal information retrieval was presented from the following four aspects: extracting temporal information from document, identifying temporal information in queries and temporal ranking model. [Results] Latest advances and limitations of the research on the temporal information retrieval were gained. [Limitation] This paper didn’t review the document crawling, document index and corresponding application of Temporal information retrieval. [Conclusion] The problems and challenges existing in temporal information retrieval are as follows: little related work existing in China while most of related work existing in foreign countries the lack of methods of data collection and data indexing reflecting dynamic characteristics of real network; Ignorance of the important role of the entity and event represent time information when identify the focus time of document; lack of the predicting intent for non-periodic queries and the improvement of reproducibility of temporal information retrieval model experiment to be needed.
张晓娟、韩毅
西南大学计算机与信息科学学院西南大学计算机与信息科学学院
科学交流与知识传播
时态信息检索时态信息时态查询意图时态敏感排序
Temporal information retrievalTemporal informationTemporal intent Temporal ranking
国家社科基金 融合用户个性化与实时性意图的查询推荐模型研究( 15 CT Q019 ) 西南大学博士启动基金 查询意图自动分类与分析研究( SWU114093 )
张晓娟,韩毅.时态信息检索研究综述[EB/OL].(2022-06-29)[2024-12-22].https://sinoxiv.napstic.cn/article/3444790.点此复制
评论