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» Improving distant supervision using inference learning
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ACL
2009
13 years 2 months ago
Distant supervision for relation extraction without labeled data
Modern models of relation extraction for tasks like ACE are based on supervised learning of relations from small hand-labeled corpora. We investigate an alternative paradigm that ...
Mike Mintz, Steven Bills, Rion Snow, Daniel Jurafs...
AAAI
2012
11 years 7 months ago
Ontological Smoothing for Relation Extraction with Minimal Supervision
Relation extraction, the process of converting natural language text into structured knowledge, is increasingly important. Most successful techniques use supervised machine learni...
Congle Zhang, Raphael Hoffmann, Daniel S. Weld
EAGC
2003
Springer
13 years 10 months ago
ULabGrid, an Infrastructure to Develop Distant Laboratories for Undergrad Students over a Grid
Abstract. Nowadays, there is a big discussion about two different topics: how distance learning and the old fashioned learning can be improved using the new technologies. In both ...
Oscar Ardaiz, Pau Artigas, Luis Díaz de Cer...
EMNLP
2010
13 years 2 months ago
Efficient Graph-Based Semi-Supervised Learning of Structured Tagging Models
We describe a new scalable algorithm for semi-supervised training of conditional random fields (CRF) and its application to partof-speech (POS) tagging. The algorithm uses a simil...
Amarnag Subramanya, Slav Petrov, Fernando Pereira
ACL
2011
12 years 8 months ago
Semi-supervised latent variable models for sentence-level sentiment analysis
We derive two variants of a semi-supervised model for fine-grained sentiment analysis. Both models leverage abundant natural supervision in the form of review ratings, as well as...
Oscar Täckström, Ryan T. McDonald