Coupled Temporal Scoping of relational facts

Partha Pratim Talukdar, Derry Wijaya, Tom Mitchell

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

65 Citations (Scopus)


Recent research has made significant advances in automatically constructing knowledge bases by extracting relational facts (e.g., Bill Clinton-presidentOf- US) from large text corpora. Temporally scoping such relational facts in the knowledge base (i.e., determining that Bill Clinton-president Of US is true only during the period 1993 - 2001) is an important, but relatively unexplored problem. In this paper, we propose a joint inference framework for this task, which leverages fact-specific temporal constraints, and weak supervision in the form of a few labeled examples. Our proposed framework, CoTS (Coupled Temporal Scoping), exploits temporal containment, alignment, succession, and mutual exclusion constraints among facts from within and across relations. Our contribution is multi-fold. Firstly, while most previous research has focused on micro-reading approaches for temporal scoping, we pose it in a macro-reading fashion, as a change detection in a time series of facts' features computed from a large number of documents. Secondly, to the best of our knowledge, there is no other work that has used joint inference for temporal scoping. We show that joint inference is effective compared to doing temporal scoping of individual facts independently. We conduct our experiments on large scale open-domain publicly available time-stamped datasets, such as English Gigaword Corpus and Google Books Ngrams, demonstrating CoTS's effectiveness.

Original languageEnglish
Title of host publicationWSDM 2012 - Proceedings of the 5th ACM International Conference on Web Search and Data Mining
Number of pages10
Publication statusPublished - 2012
Externally publishedYes
EventACM International Conference on Web Search and Data Mining 2012 - Seattle, United States of America
Duration: 8 Feb 201212 Feb 2012
Conference number: 5th


ConferenceACM International Conference on Web Search and Data Mining 2012
Abbreviated titleWSDM 2012
Country/TerritoryUnited States of America


  • Joint inference
  • Knowledge base
  • Temporal Scoping

Cite this