Mónica Marrero

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The suitability of the algorithms for recognition and classification of entities (NERC) is evaluated through competitions such as MUC, CONLL or ACE. In general, these competitions are limited to the recognition of predefined entity types in certain languages. In addition, the evaluation of free applications and commercial systems that do not attend the(More)
A BST R A C T Music similarity tasks, where musical pieces similar to a query should be retrieved, are quite troublesome to evaluate. Ground truths based on partially ordered lists were developed to cope with problems regarding relevance judgment, but they require such man-power to generate that the official MIREX evaluations had to turn over more(More)
The reliability of a test collection is proportional to the number of queries it contains. But building a collection with many queries is expensive, so researchers have to find a balance between reliability and cost. Previous work on the measurement of test collection reliability relied on data-based approaches that contemplated random what if scenarios,(More)
Named Entity Recognition serves as the basis for many other areas in Information Management. However, it is unclear what the meaning of Named Entity is, and yet there is a general belief that Named Entity Recognition is a solved task. In this paper we analyze the evolution of the field from a theoretical and practical point of view. We argue that the task(More)
Requirements reuse plays a decisive role in order to get benefits in the software industry. The reuse process implies a retrieval of stored requirements, but these requirements are generally expressed in natural language. In order to obtain an effective but flexible system, we need a natural language retrieval system supported by a knowledge model. The(More)
Ground truths based on partially ordered lists have been used for some years now to evaluate the effectiveness of Music Information Retrieval systems, especially in tasks related to symbolic melodic similarity. However, there has been practically no meta-evaluation to measure or improve the correctness of these evaluations. In this paper we revise the(More)
In this paper we analyze the reliability of the results in the evaluation of Audio Music Similarity and Retrieval systems. We focus on the power and stability of the evaluation, that is, how often a significant difference is found between systems and how often these significant differences are incorrect. We study the effect of using different effectiveness(More)
Previous research has suggested the permutation test as the theoretically optimal statistical significance test for IR evaluation, and advocated for the discontinuation of the Wilcoxon and sign tests. We present a large-scale study comprising nearly 60 million system comparisons showing that in practice the bootstrap, t-test and Wilcoxon test outperform the(More)
Structured Information Retrieval is gaining a lot of interest in recent years, as this kind of information is becoming an invaluable asset for professional communities such as Software Engineering. Most of the research has focused on XML documents, with initiatives like INEX to bring together and evaluate new techniques focused on structured information.(More)
The semantic annotation of documents is an additional advantage for retrieval, as long as the annotations and their maintenance process scale well. Automatic or semi-automatic annotation tools help in this matter with the use of patterns. In this paper we analyze the advantages of creating these patterns with standard web languages, as well as the(More)