Temporal Scoping of Relational Facts based on Wikipedia Data
Authors | Avirup Sil Silviu Cucerzan |
|---|---|
Publication date | 2014 |
Links | Original |
Temporal Scoping of Relational Facts based on Wikipedia Data - scientific work related to Wikipedia quality published in 2014, written by Avirup Sil and Silviu Cucerzan.
Overview
Most previous work in information extraction from text has focused on named-entity recognition, entity linking, and relation extraction. Less attention has been paid given to extracting the temporal scope for relations between named entities; for example, the relation president-Of(John F. Kennedy, USA) is true only in the time-frame (January 20, 1961 - November 22, 1963). In this paper authors present a system for temporal scoping of relational facts, which is trained on distant supervision based on the largest semi-structured resource available: Wikipedia. The system employs language models consisting of patterns automatically bootstrapped from Wikipedia sentences that contain the main entity of a page and slot-fillers extracted from the corresponding infoboxes. This proposed system achieves state-of-the-art results on 6 out of 7 relations on the benchmark Text Analysis Conference 2013 dataset for temporal slot filling (TSF), and outperforms the next best system in the TAC 2013 evaluation by more than 10 points.
Embed
Wikipedia Quality
Sil, Avirup; Cucerzan, Silviu. (2014). "[[Temporal Scoping of Relational Facts based on Wikipedia Data]]".
English Wikipedia
{{cite journal |last1=Sil |first1=Avirup |last2=Cucerzan |first2=Silviu |title=Temporal Scoping of Relational Facts based on Wikipedia Data |date=2014 |url=https://wikipediaquality.com/wiki/Temporal_Scoping_of_Relational_Facts_based_on_Wikipedia_Data}}
HTML
Sil, Avirup; Cucerzan, Silviu. (2014). "<a href="https://wikipediaquality.com/wiki/Temporal_Scoping_of_Relational_Facts_based_on_Wikipedia_Data">Temporal Scoping of Relational Facts based on Wikipedia Data</a>".
