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» Nested Named Entity Recognition
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ICML
2008
IEEE
15 years 10 months ago
Boosting with incomplete information
In real-world machine learning problems, it is very common that part of the input feature vector is incomplete: either not available, missing, or corrupted. In this paper, we pres...
Feng Jiao, Gholamreza Haffari, Greg Mori, Shaojun ...
81
Voted
ER
2007
Springer
129views Database» more  ER 2007»
15 years 3 months ago
A Methodology and Toolkit for Deploying Contract Documents as E-contracts
Recent research in e-contracts is concerned with the development of frameworks and tools to support contracts. EREC framework is one that enables modelling and deployment of e-con...
Anushree Khandekar, P. Radha Krishna, Kamalakar Ka...
GIS
2008
ACM
15 years 10 months ago
Biography as events in time and space
In digital humanities projects, particularly for historical research and cultural heritage, GIS has played an increasingly important role. However, most implementations have conce...
Fredric C. Gey, Ryan Shaw, Ray R. Larson, Barry Pa...
ICML
2003
IEEE
15 years 10 months ago
Hidden Markov Support Vector Machines
This paper presents a novel discriminative learning technique for label sequences based on a combination of the two most successful learning algorithms, Support Vector Machines an...
Yasemin Altun, Ioannis Tsochantaridis, Thomas Hofm...
CIKM
2009
Springer
15 years 4 months ago
Combining labeled and unlabeled data with word-class distribution learning
We describe a novel simple and highly scalable semi-supervised method called Word-Class Distribution Learning (WCDL), and apply it the task of information extraction (IE) by utili...
Yanjun Qi, Ronan Collobert, Pavel Kuksa, Koray Kav...