@inProceedings{Borin-Lars2009-110343, 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}, } @inProceedings{Dannélls-Dana2009-95195, 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}, } @inProceedings{Dannélls-Dana2009-104122, 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}, }