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» Learning Arguments and Supertypes of Semantic Relations Usin...
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147
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ACL
2010
15 years 23 days ago
Learning Arguments and Supertypes of Semantic Relations Using Recursive Patterns
A challenging problem in open information extraction and text mining is the learning of the selectional restrictions of semantic relations. We propose a minimally supervised boots...
Zornitsa Kozareva, Eduard H. Hovy
106
Voted
CICLING
2010
Springer
15 years 7 months ago
Extraction of Genic Interactions with the Recursive Logical Theory of an Ontology
We introduce an Information Extraction (IE) system which uses the logical theory of an ontology as a generalisation of the typical information extraction patterns to extract biolog...
Alain-Pierre Manine, Érick Alphonse, Philip...
122
Voted
EMNLP
2006
15 years 4 months ago
Unsupervised Discovery of a Statistical Verb Lexicon
This paper demonstrates how unsupervised techniques can be used to learn models of deep linguistic structure. Determining the semantic roles of a verb's dependents is an impo...
Trond Grenager, Christopher D. Manning
ECAI
2008
Springer
15 years 4 months ago
Task Driven Coreference Resolution for Relation Extraction
Abstract. This paper presents the extension of an existing mimimally supervised rule acquisition method for relation extraction by coreference resolution (CR). To this end, a novel...
Feiyu Xu, Hans Uszkoreit, Hong Li
145
Voted
CICLING
2006
Springer
15 years 6 months ago
Automatic Acquisition of Semantic-Based Question Reformulations for Question Answering
Abstract. In this paper, we present a method for the automatic acquisition of semantic-based reformulations from natural language questions. Our goal is to find useful and generic ...
Jamileh Yousefi, Leila Kosseim