Paper: CTPs: Contextual Temporal Profiles for Time Scoping Facts using State Change Detection

ACL ID D14-1207
Title CTPs: Contextual Temporal Profiles for Time Scoping Facts using State Change Detection
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2014
Authors

Temporal scope adds a time dimension to facts in Knowledge Bases (KBs). These time scopes specify the time periods when a given fact was valid in real life. With- out temporal scope, many facts are under- specified, reducing the usefulness of the data for upper level applications such as Question Answering. Existing methods for temporal scope inference and extrac- tion still suffer from low accuracy. In this paper, we present a new method that lever- ages temporal profiles augmented with context? Contextual Temporal Profiles (CTPs) of entities. Through change pat- terns in an entity?s CTP, we model the en- tity?s state change brought about by real world events that happen to the entity (e.g, hired, fired, divorced, etc.). This leads to a new formulation of the temporal scoping problem as a...