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» A Learning Approach to Shallow Parsing
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IJCAI
2007
13 years 9 months ago
Simple Training of Dependency Parsers via Structured Boosting
Recently, significant progress has been made on learning structured predictors via coordinated training algorithms such as conditional random fields and maximum margin Markov ne...
Qin Iris Wang, Dekang Lin, Dale Schuurmans
AIEDAM
2007
191views more  AIEDAM 2007»
13 years 8 months ago
Ontology-based design information extraction and retrieval
Because of the increasing complexity of products and the design process, as well as the popularity of computer-aided documentation tools, the number of electronic and textual desi...
Zhanjun Li, Karthik Ramani
CICLING
2011
Springer
12 years 11 months ago
Temporal Analysis of Sentiment Events - A Visual Realization and Tracking
In recent years, extraction of temporal relations for events that express sentiments has drawn great attention of the Natural Language Processing (NLP) research communities. In thi...
Dipankar Das, Anup Kumar Kolya, Asif Ekbal, Sivaji...
ACL
2010
13 years 6 months ago
Unsupervised Ontology Induction from Text
Extracting knowledge from unstructured text is a long-standing goal of NLP. Although learning approaches to many of its subtasks have been developed (e.g., parsing, taxonomy induc...
Hoifung Poon, Pedro Domingos
EMNLP
2010
13 years 6 months ago
Inducing Probabilistic CCG Grammars from Logical Form with Higher-Order Unification
This paper addresses the problem of learning to map sentences to logical form, given training data consisting of natural language sentences paired with logical representations of ...
Tom Kwiatkowksi, Luke S. Zettlemoyer, Sharon Goldw...