UNED Slot Filling and Temporal Slot Filling systems at TAC KBP 2013: System description

This paper describes the system implemented by the NLP GROUP AT UNED for the Knowledge Base Population 2013 English Slot Filling (SF) and Temporal Slot Filling (TSF) tasks. For the Slot Filling task, we implemented a distant supervision approach, using Freebase as a source of training relations and news sources to retrieve training examples. For the Temporal Slot Filling task, our approach is based on learning the temporal link between relation mentions and previously identified contextual temporal expressions. This is realized using distant supervision to match temporal information from a knowledge base and textual sources. Evidence is then aggregated into an imprecise temporal anchoring interval. For both systems, we extract features from a rich document representation that employs a graph structure obtained by augmenting the syntactic dependency analysis of the document with semantic information.