• Published 2014

Overview of the English Slot Filling Track at the TAC 2014 Knowledge Base Population Evaluation

@inproceedings{Surdeanu2014OverviewOT,
  title={Overview of the English Slot Filling Track at the TAC 2014 Knowledge Base Population Evaluation},
  author={Mihai Surdeanu and Heng Ji},
  year={2014}
}
We overview the English Slot Filling (SF) track of the TAC2014 Knowledge Base Population (KBP) evaluation. The goal of this KBP track is to promote research in the extraction of binary relations between named and numeric entities from free text. The main changes this year include: (a) the inclusion of ambiguous queries, i.e., queries that point to multiple real-life entities with the same name; (b) accepting outputs created through inference; and (c) a simplification of the task and of the… CONTINUE READING

Figures and Tables from this paper.

Citations

Publications citing this paper.
SHOWING 1-10 OF 53 CITATIONS

Web relation extraction with distant supervision

VIEW 8 EXCERPTS
CITES BACKGROUND & METHODS
HIGHLY INFLUENCED

Extracting and Representing Entities, Types, and Relations

VIEW 3 EXCERPTS
CITES METHODS
HIGHLY INFLUENCED

Deep learning methods for knowledge base population

VIEW 7 EXCERPTS
CITES BACKGROUND
HIGHLY INFLUENCED

La structuration dans les entités nommées

VIEW 6 EXCERPTS
CITES BACKGROUND & METHODS
HIGHLY INFLUENCED

Type-aware Convolutional Neural Networks for Slot Filling

  • J. Artif. Intell. Res.
  • 2019
VIEW 4 EXCERPTS
CITES BACKGROUND
HIGHLY INFLUENCED

Knowledge base population using semantic label propagation

VIEW 4 EXCERPTS
CITES METHODS & BACKGROUND
HIGHLY INFLUENCED

RPI-BLENDER TAC-KBP2013 Knowledge Base Population System

  • TAC
  • 2013
VIEW 2 EXCERPTS
CITES BACKGROUND

FILTER CITATIONS BY YEAR

2013
2019

CITATION STATISTICS

  • 7 Highly Influenced Citations

  • Averaged 8 Citations per year from 2017 through 2019