Maddalen Lopez de Lacalle

Learn More
This paper presents the Predicate Matrix v1.1, a new lexical resource resulting from the integration of multiple sources of predicate information including FrameNet (Baker et al., 1997), VerbNet (Kipper, 2005), PropBank (Palmer et al., 2005) and WordNet (Fellbaum, 1998). We start from the basis of SemLink. Then, we use advanced graph-based algorithms to(More)
Knowledge construction is expensive for Computer Assisted Assessment. When setting exercise questions, teachers use Test Makers to construct Question Banks. The addition of Automatic Generation to assessment applications decreases the time spent on constructing examination papers. In this article, we present ArikIturri, an Automatic Question Generator for(More)
This paper deals with the main problems that arise in the query translation process in dictionary-based Cross-lingual Information Retrieval (CLIR): translation selection, presence of Out-Of-Vocabulary (OOV) terms and translation of Multi-Word Expressions (MWE). We analyse to what extent each problem affects the retrieval performance for the Basque-English(More)
This paper presents a novel approach to improve the interoperability between four semantic resources that incorporate predicate information. Our proposal defines a set of automatic methods for mapping the semantic knowledge included in WordNet, VerbNet, PropBank and FrameNet. We use advanced graphbased word sense disambiguation algorithms and corpus(More)
This article describes the participation of the joint Elhuyar­IXA group in the RespubliQA exercise at QA&CLEF. We put together tools developed separately and we combined and shared knowledge and technology between the two groups. In particular, we participated in the English–English monolingual task and in the Basque–English cross­lingual one. Our(More)
With the aim of facilitating the automatic acquisition of some didactic resources, i.e. exercises for Computer Assisted Assessment Applications, we have implemented Arikiturri. Using corpora as source data, the system is able to automatically generate questions about domain contents. We use Natural Language Processing (NLP) techniques to facilitate this(More)
Natural Language Processing (LNP) Techniques facilitate the automatic acquisition of some didactic resources. Using corpora as source data, Arikiturri, is able to automatically generate testbased questions for Technology Supported Learning Systems. In this article we define some concepts of the generic question model underlying Arikiturri, and explain an(More)
This article describes the participation of the joint Elhuyar-IXA group in the ResPubliQA exercise at QA&CLEF 2010. In particular, we participated in the English–English monolingual task and in the Basque– English cross-lingual one. Our focus was threefold: (1) to check to what extent information retrieval (IR) can achieve good results in passage retrieval(More)