[PDF][PDF] Machine learning algorithms for portuguese named entity recognition
RL Milidiú, JC Duarte, R Cavalcante - Inteligencia Artificial. Revista …, 2007 - redalyc.org
Abstract Named Entity Recognition (NER) is an important task in Natural Language
Processing. It provides key features that help on more elaborated document management …
Processing. It provides key features that help on more elaborated document management …
[图书][B] Entropy guided transformation learning
This chapter details the entropy guided transformation learning algorithm [8, 23]. ETL is an
effective way to overcome the transformation based learning bottleneck: the construction of …
effective way to overcome the transformation based learning bottleneck: the construction of …
Semi-supervised learning of the hidden vector state model for extracting protein–protein interactions
OBJECTIVE: The hidden vector state (HVS) model is an extension of the basic discrete
Markov model in which context is encoded as a stack-oriented state vector. It has been …
Markov model in which context is encoded as a stack-oriented state vector. It has been …
Probabilistic classifications with tbl
C Nogueira dos Santos, RL Milidiú - International Conference on …, 2007 - Springer
The classifiers produced by the Transformation Based error-driven Learning (TBL) algorithm
do not produce uncertainty measures by default. Nevertheless, there are situations like …
do not produce uncertainty measures by default. Nevertheless, there are situations like …
Relation extraction based on two-step classification with distant supervision
Supervised machine learning methods have been widely used in relation extraction to find
the relation between two named entities in a sentence. However, the disadvantages of …
the relation between two named entities in a sentence. However, the disadvantages of …