HLTCOE approaches to knowledge base population at TAC 2009 (2009)
by
Paul Mcnamee
,
Mark Dredze
,
Adam Gerber
,
Nikesh Garera
,
Tim Finin
,
James Mayfield
,
Christine Piatko
,
Delip Rao
,
David Yarowsky
,
Markus Dreyer
| Venue: | In Text Analysis Conference (TAC |
| Citations: | 2 - 2 self |
BibTeX
@INPROCEEDINGS{Mcnamee09hltcoeapproaches,
author = {Paul Mcnamee and Mark Dredze and Adam Gerber and Nikesh Garera and Tim Finin and James Mayfield and Christine Piatko and Delip Rao and David Yarowsky and Markus Dreyer},
title = {HLTCOE approaches to knowledge base population at TAC 2009},
booktitle = {In Text Analysis Conference (TAC},
year = {2009}
}
Bookmark
 |
 |
 |
 |
 |
 |
OpenURL
Abstract
The HLTCOE participated in the entity linking and slot filling tasks at TAC 2009. A machine learning-based approach to entity linking, operating over a wide range of feature types, yielded good performance on the entity linking task. Slot-filling based on sentence selection, application of weak patterns and exploitation of redundancy was ineffective in the slot filling task.
Citations
| 2699 | MJ: Introduction to Modern Information Retrieval - Salton, McGill - 1986 |
| 23 | A comparison of personal name matching: Techniques and practical issues - Christen - 2006 |
| 12 | Latent-variable modeling of string transductions with finite-state methods - Dreyer, Smith, et al. - 2008 |
| 11 | A.: Automatic information extraction - Boschee, Weischedel, et al. |
| 8 | A comparison of techniques for estimating IDF values to generate lexical signatures for the web - Klein, Nelson - 2008 |
| 1 | transitive and latent models for biographic fact extraction - Structural |
