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» A Lexicalized Tree Kernel for Open Information Extraction
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EMNLP
2007
13 years 6 months ago
Tree Kernel-Based Relation Extraction with Context-Sensitive Structured Parse Tree Information
This paper proposes a tree kernel with contextsensitive structured parse tree information for relation extraction. It resolves two critical problems in previous tree kernels for r...
Guodong Zhou, Min Zhang, Dong-Hong Ji, Qiaoming Zh...
ICTAI
2008
IEEE
13 years 11 months ago
Answering Complex Questions Using Query-Focused Summarization Technique
Unlike simple questions, complex questions cannot be answered by simply extracting named entities. These questions require inferencing and synthesizing information from multiple d...
Yllias Chali, Shafiq R. Joty
AIRS
2008
Springer
13 years 11 months ago
Study of Kernel-Based Methods for Chinese Relation Extraction
Abstract. In this paper, we mainly explore the effectiveness of two kernelbased methods, the convolution tree kernel and the shortest path dependency kernel, for Chinese relation e...
Ruihong Huang, Le Sun, Yuanyong Feng
EMNLP
2011
12 years 4 months ago
Identifying Relations for Open Information Extraction
Open Information Extraction (IE) is the task of extracting assertions from massive corpora without requiring a pre-specified vocabulary. This paper shows that the output of state...
Anthony Fader, Stephen Soderland, Oren Etzioni
EMNLP
2009
13 years 2 months ago
Convolution Kernels on Constituent, Dependency and Sequential Structures for Relation Extraction
This paper explores the use of innovative kernels based on syntactic and semantic structures for a target relation extraction task. Syntax is derived from constituent and dependen...
Truc-Vien T. Nguyen, Alessandro Moschitti, Giusepp...