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This paper describes a search procedure to discover optimal feature sets for dependency parsers. The search applies to the shift–reduce algorithm and the feature sets are extracted from the parser configuration. The initial feature is limited to the first word in the input queue. Then, the procedure uses a set of rules founded on the assumption that topological neighbors of significant features in

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Context: Duplicate detection is a fundamental part of issue management. Systems able to predict whether a new defect report will be closed as a duplicate, may decrease costs by limiting rework and collecting related pieces of information. Goal: Our work explores using Apache Lucene for large-scale duplicate detection based on textual content. Also, we evaluate the previous claim that results are i

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Ultra-wideband (UWB) communication is a potential technique for future high-speed networks. In this paper, we investigate low complexity signal detection approaches for OFDM based UWB systems. In particular, we develop practical approaches for channel estimation and interference suppression. Computer simulation results show that these techniques can be effectively used in OFDM based UWB systems fo

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The purpose of this paper is to give a description of the communicativity in a foreign language classroom and also of students’ communicative behaviour. Since the beginning of the 80s communication has been widely discussed as one of the main features in instructed language learning. The focus on form, that traditionally has been dominant in the language classroom, was combined or even replaced by