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	title        = {Thinking Green: Toward Swedish FrameNet++},
	abstract     = {Access to multi-layered lexical, grammatical and semantic information representing
text content is a prerequisite for efficient automatic understanding
and generation of natural language. A FrameNet is considered a valuable
resource for both linguistics and language technology research that
may contribute to the achievement of these goals.
Currently, FrameNet-like resources exist for a few languages,1 including
some domain-specific and multilingual initiatives (Dolbey et al., 2006;
Boas, 2009; Uematsu et al., 2009; Venturi et al., 2009), but are unavailable
for most languages, including Swedish, although there have been some
pilot studies exploring the semi-automatic acquisition of Swedish frames
(Johansson & Nugues, 2006; Borin et al., 2007).
At the University of Gothenburg, we are now embarking on a project to
build a Swedish FrameNet-like resource. A novel feature of this project is
that the Swedish FrameNetwill be an integral part of a largermany-faceted
lexical resource. Hence the name Swedish FrameNet++ (SweFN++).
	booktitle    = {FrameNet Masterclass and Workshop},
	author       = {Borin, Lars and Dannélls, Dana and Forsberg, Markus and Toporowska Gronostaj, Maria and Kokkinakis, Dimitrios},
	year         = {2009},

	title        = { Improving Information Access to Cultural Content through Discourse Strategies.},
	abstract     = {This paper describes a grammar driven approach for generating multilingual cultural heritage information of objects held by museums and galleries. Discourse strategies are utilized to select and organize onto-
logical statements. The discourse structure is translated to abstract grammar specifications that are mapped to natural language. 
	booktitle    = {Workshop proceedings of the eleventh International Conference of the Italian Association for Artificial Intelligence (AI*IA)},
	author       = {Dannélls, Dana},
	year         = {2009},
	ISBN         = {978-88-903581-1-1},

	title        = {The Value of Weights in Automatically Generated Text Structures},
	abstract     = {One question that arises if we want to evolve generation techniques
to accommodate Web ontologies is how to capture and expose the
relevant ontology content to the user. This paper presents an attempt
to answer the question about how to select the ontology statements that
are significant for the user and present those statements in a way that
helps the user to learn. Our generation approach combines bottom-up
and top-down techniques with enhanced comparison methods to tailor
descriptions about a concept described in an ontology. A preliminary
evaluation indicates that the process of computing preferable property
weights in addition to enhanced generation methods has a positive effect
on the text structure and its content. Future work aims to assign
grammar rules and lexical entries in order to produce coherent texts that
follow on from the generated text structures in several languages.},
	booktitle    = {Proceedings of the 10th International Conference on Intelligent Text Processing and Computational Linguistics},
	author       = {Dannélls, Dana},
	year         = {2009},
	number       = {LNCS 5449},
	pages        = {233--244},