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ANLP
2000
124views more  ANLP 2000»
13 years 6 months ago
A Divide-and-Conquer Strategy for Shallow Parsing of German Free Texts
We present a divide-and-conquer strategy based on finite state technology for shallow parsing of realworld German texts. In a first phase only the topological structure of a sente...
Günter Neumann, Christian Braun, Jakub Piskor...
BMCBI
2010
162views more  BMCBI 2010»
13 years 5 months ago
Moara: a Java library for extracting and normalizing gene and protein mentions
Background: Gene/protein recognition and normalization are important preliminary steps for many biological text mining tasks, such as information retrieval, protein-protein intera...
Mariana L. Neves, José María Carazo,...
FLAIRS
2003
13 years 6 months ago
Orthographic Case Restoration Using Supervised Learning Without Manual Annotation
One challenge in text processing is the treatment of case insensitive documents such as speech recognition results. The traditional approach is to re-train a language model exclud...
Cheng Niu, Wei Li 0003, Jihong Ding, Rohini K. Sri...
AAAI
2008
13 years 7 months ago
Hidden Dynamic Probabilistic Models for Labeling Sequence Data
We propose a new discriminative framework, namely Hidden Dynamic Conditional Random Fields (HDCRFs), for building probabilistic models which can capture both internal and external...
Xiaofeng Yu, Wai Lam
KDD
2005
ACM
153views Data Mining» more  KDD 2005»
14 years 5 months ago
Improving discriminative sequential learning with rare--but--important associations
Discriminative sequential learning models like Conditional Random Fields (CRFs) have achieved significant success in several areas such as natural language processing, information...
Xuan Hieu Phan, Minh Le Nguyen, Tu Bao Ho, Susumu ...