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ACL
2011
8 years 1 months ago
Pointwise Prediction for Robust, Adaptable Japanese Morphological Analysis
We present a pointwise approach to Japanese morphological analysis (MA) that ignores structure information during learning and tagging. Despite the lack of structure, it is able t...
Graham Neubig, Yosuke Nakata, Shinsuke Mori
NAR
2010
107views more  NAR 2010»
8 years 5 months ago
FlyTF: improved annotation and enhanced functionality of the Drosophila transcription factor database
FlyTF (http://www.flytf.org) is a database of computationally predicted and/or experimentally verified site-specific transcription factors (TFs) in the fruit fly Drosophila melano...
Ulrike Pfreundt, Daniel P. James, Susan Tweedie, D...
LRE
2010
145views more  LRE 2010»
8 years 5 months ago
Annotation of multiword expressions in the Prague dependency treebank
In this article we want to demonstrate that annotation of multiword expressions in the Prague Dependency Treebank is a well defined task, that it is useful as well as feasible, an...
Eduard Bejcek, Pavel Stranák
JBCB
2010
138views more  JBCB 2010»
8 years 5 months ago
Hierarchical Classification of Gene Ontology Terms Using the Gostruct Method
Protein function prediction is an active area of research in bioinformatics. And yet, transfer of annotation on the basis of sequence or structural similarity remains widely used ...
Artem Sokolov, Asa Ben-Hur
IJCV
2011
264views more  IJCV 2011»
8 years 5 months ago
Cost-Sensitive Active Visual Category Learning
Abstract We present an active learning framework that predicts the tradeoff between the effort and information gain associated with a candidate image annotation, thereby ranking un...
Sudheendra Vijayanarasimhan, Kristen Grauman
COLING
2010
8 years 5 months ago
Applying Syntactic, Semantic and Discourse Constraints in Chinese Temporal Annotation
We describe a Chinese temporal annotation experiment that produced a sizable data set for the TempEval-2 evaluation campaign. We show that while we have achieved high inter-annota...
Nianwen Xue, Yuping Zhou
COLING
2010
8 years 5 months ago
A Comparison of Models for Cost-Sensitive Active Learning
Active Learning (AL) is a selective sampling strategy which has been shown to be particularly cost-efficient by drastically reducing the amount of training data to be manually ann...
Katrin Tomanek, Udo Hahn
COLING
2010
8 years 5 months ago
Discriminant Ranking for Efficient Treebanking
Treebank annotation is a labor-intensive and time-consuming task. In this paper, we show that a simple statistical ranking model can significantly improve treebanking efficiency b...
Yi Zhang 0003, Valia Kordoni
COLING
2010
8 years 5 months ago
Learning to Annotate Scientific Publications
Annotating scientific publications with keywords and phrases is of great importance to searching, indexing, and cataloging such documents. Unlike previous studies that focused on ...
Minlie Huang, Zhiyong Lu
COLING
2010
8 years 5 months ago
Bringing Active Learning to Life
Active learning has been applied to different NLP tasks, with the aim of limiting the amount of time and cost for human annotation. Most studies on active learning have only simul...
Ines Rehbein, Josef Ruppenhofer, Alexis Palmer
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