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» On the evaluation of argumentation formalisms
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ACL
2007
15 years 7 months ago
A Seed-driven Bottom-up Machine Learning Framework for Extracting Relations of Various Complexity
A minimally supervised machine learning framework is described for extracting relations of various complexity. Bootstrapping starts from a small set of n-ary relation instances as...
Feiyu Xu, Hans Uszkoreit, Hong Li
LREC
2008
143views Education» more  LREC 2008»
15 years 7 months ago
Enriching the Venice Italian Treebank with Dependency and Grammatical Relations
In this paper we propose a rule-based approach to extract dependency and grammatical relations from the Venice Italian Treebank (VIT) (Delmonte et al., 2007) with bracketed tree s...
Sara Tonelli, Rodolfo Delmonte, Antonella Bristot
PDPTA
2007
15 years 7 months ago
Communication with Super Flexible Messaging
Abstract Super Flexible Messaging (SFM) provides a powerful and elegant message passing abstraction for transferring arbitrary data between remote processes. SFM achieves the simpl...
Alexey Fedosov, Gregory Benson
EMNLP
2006
15 years 7 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
BMCBI
2006
112views more  BMCBI 2006»
15 years 6 months ago
Argument-predicate distance as a filter for enhancing precision in extracting predications on the genetic etiology of disease
Background: Genomic functional information is valuable for biomedical research. However, such information frequently needs to be extracted from the scientific literature and struc...
Marco Masseroli, Halil Kilicoglu, François-...