Cristina Mota

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In this paper, we present Second HAREM, the second edition of an evaluation campaign for Portuguese, addressing named entity recognition (NER). This second edition also included two new tracks: the recognition and normalization of temporal entities (proposed by a group of participants, and hence not covered on this paper) and ReRelEM, the detection of(More)
This paper focuses on the influence of changing the text time frame on the performance of a named entity tagger. We followed a twofold approach to investigate this subject: on the one hand, we analyzed a corpus that spans 8 years, and, on the other hand, we assessed the performance of a name tagger trained and tested on that corpus. We created 8 samples(More)
In this paper we describe the first evaluation contest (track) for Portuguese whose goal was to detect and classify relations between named entities in running text, called ReRelEM. Given a collection annotated with named entities belonging to ten different semantic categories, we marked all relationships between them within each document. We used the(More)
This paper describes the second round of ResPubliQA, a Question Answering (QA) evaluation task over European legislation, a LAB of CLEF 2010. Two tasks have been proposed this year: Paragraph Selection (PS) and Answer Selection (AS). The PS task consisted of extracting a relevant paragraph of text that satisfies completely the information need expressed by(More)
How do people behave in their everyday information seeking tasks, which often involve Wikipedia? Are there systems which can help them, or do a similar job? In this paper we describe Págico, an evaluation contest with the main purpose of fostering research in these topics. We describe its motivation, the collection of documents created, the evaluation(More)
Using standard methods and formats established at LADL, and adopted by several European research teams to construct largecoverage electronic dictionaries and grammars, we elaborated for Portuguese a set of lexlcal resources, that were implemented in IN'rEX We describe the main features of such linguistic data, refer to their mmntenance and extension, and(More)
The exposure to high glucocorticoids (GC) triggers neuronal atrophy and cognitive deficits, but the exact cellular mechanisms underlying the GC-associated dendritic remodeling and spine loss are still poorly understood. Previous studies have implicated sustained GC elevations in neurodegenerative mechanisms through GC-evoked hyperphosphorylation of the(More)
This paper describes two alternative approaches to the automatic inference of a fuzzy classification system applied to computerised sleep staging. Both approaches use genetic algorithms to evolve a fuzzy classifier per sleep stage. In the first case, each stage classifier is independently evolved while in the second case, the classifiers are evolved(More)
The paper describes Portuguese large-scale linguistic resources, mainly computational lexicons and grammars, developed by LabEL. These resources are formalized and applied to texts by means of finite-state techniques, more and more acknowledged in Natural Language Processing. On the one hand, it illustrates methods on lexical representation for simple words(More)