MemTimes: temporal scoping of facts with memory network

Siyuan Cao, Qiang Yang, Zhixu Li*, Guanfeng Liu, Detian Zhang, Jiajie Xu

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review


This paper works on temporal scoping, i.e., adding time interval to facts in Knowledge Bases (KBs). The existing methods for temporal scope inference and extraction still suffer from low accuracy. In this paper, we propose a novel neural model based on Memory Network to do temporal reasoning among sentences for the purpose of temporal scoping. We design proper ways to encode both semantic and temporal information contained in the mention set of each fact, which enables temporal reasoning with Memory Network. We also find ways to remove the effect brought by noisy sentences, which can further improve the robustness of our approach. The experiments show that this solution is highly effective for detecting temporal scope of facts.

Original languageEnglish
Title of host publicationDatabase Systems for Advanced Applications
Subtitle of host publication25th International Conference, DASFAA 2020 Jeju, South Korea, September 24–27, 2020 Proceedings, Part III
EditorsYunmook Nah, Bin Cui, Sang-Won Lee, Jeffrey Xu Yu, Yang-Sae Moon, Steven Euijong Whang
Place of PublicationCham, Switzerland
PublisherSpringer, Springer Nature
Number of pages17
ISBN (Electronic)9783030594190
ISBN (Print)9783030594183
Publication statusPublished - 2020
Event25th International Conference on Database Systems for Advanced Applications, DASFAA 2020 - Jeju, Korea, Republic of
Duration: 24 Sep 202027 Sep 2020

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12114 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference25th International Conference on Database Systems for Advanced Applications, DASFAA 2020
Country/TerritoryKorea, Republic of


  • Iterative Model
  • Memory Network
  • Temporal Scoping


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