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WWW
2011
ACM
13 years 21 days ago
From actors, politicians, to CEOs: domain adaptation of relational extractors using a latent relational mapping
We propose a method to adapt an existing relation extraction system to extract new relation types with minimum supervision. Our proposed method comprises two stages: learning a lo...
Danushka Bollegala, Yutaka Matsuo, Mitsuru Ishizuk...
IJCAI
2007
13 years 7 months ago
Document Summarization Using Conditional Random Fields
Many methods, including supervised and unsupervised algorithms, have been developed for extractive document summarization. Most supervised methods consider the summarization task ...
Dou Shen, Jian-Tao Sun, Hua Li, Qiang Yang, Zheng ...
ICDAR
2005
IEEE
13 years 11 months ago
A Two-stage Online Handwritten Chinese Character Segmentation Algorithm Based on Dynamic Programming
In this paper, an online handwritten Chinese character segmentation method is proposed. It is based on a dynamic programming algorithm, which uses geometrical features extracted f...
Xue Gao, Pierre Michel Lallican, Christian Viard-G...
TSD
2010
Springer
13 years 4 months ago
Evaluation of a Sentence Ranker for Text Summarization Based on Roget's Thesaurus
Abstract. Evaluation is one of the hardest tasks in automatic text summarization. It is perhaps even harder to determine how much a particular component of a summarization system c...
Alistair Kennedy, Stan Szpakowicz
CIKM
2009
Springer
14 years 11 days 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...