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» Using Types to Parse Natural Language
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ACL
1998
13 years 9 months ago
Automatic Retrieval and Clustering of Similar Words
Bootstrapping semantics from text is one of the greatest challenges in natural language learning. We first define a word similarity measure based on the distributional pattern of ...
Dekang Lin
ANLP
2000
111views more  ANLP 2000»
13 years 9 months ago
Bagging and Boosting a Treebank Parser
Bagging and boosting, two effective machine learning techniques, are applied to natural language parsing. Experiments using these techniques with a trainable statistical parser ar...
John C. Henderson, Eric Brill
ECHT
1992
14 years 17 days ago
Gram: A Graph Data Model and Query Language
We present a model for data organized as graphs. Regular expressions over the types of the node and edge labels are used to qualify connected subgraphs. An algebraic language base...
Bernd Amann, Michel Scholl
CLEF
2005
Springer
14 years 2 months ago
BulQA: Bulgarian-Bulgarian Question Answering at CLEF 2005
This paper describes the architecture of a Bulgarian–Bulgarian question answering system — BulQA. The system relies on a partially parsed corpus for answer extraction. The que...
Kiril Ivanov Simov, Petya Osenova
EMNLP
2010
13 years 6 months ago
Joint Training and Decoding Using Virtual Nodes for Cascaded Segmentation and Tagging Tasks
Many sequence labeling tasks in NLP require solving a cascade of segmentation and tagging subtasks, such as Chinese POS tagging, named entity recognition, and so on. Traditional p...
Xian Qian, Qi Zhang, Yaqian Zhou, Xuanjing Huang, ...