To reduce speech recognition error rate we can use better statistical language models. These models can be improved by grouping words into word equivalence classes. Clustering algorithms can be used to automatically d...
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To reduce speech recognition error rate we can use better statistical language models. These models can be improved by grouping words into word equivalence classes. Clustering algorithms can be used to automatically do this word grouping. We present an incremental clustering algorithm and two iterative clustering algorithms. Also, we compare them with previous algorithms. The experimental results show that the two iterative algorithms perform as well as previous ones. It should be pointed out that one of them, that uses the leaving one out technique, has the ability to automatically determine the optimum number of classes. These iterative algorithms are used by the incremental one. On the other hand, the proposed incremental algorithm achieves the best results of the compared algorithms, its behavior is the most regular with the variation of the number of classes and can automatically determine the optimum number of classes.
Fuzzy ontologies extend classical ontologies to allow the representation of imprecise and vague knowledge. Although a relatively important amount of work has been carried out in the last years and they have been succe...
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This paper presents a mathematical technique for modeling the generation of Grid-solutions employing a Case based reasoning system (CBR). Roughly speaking, an intelligent system that tries to be adapted to highly dyna...
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Hospital systems routinely assign disease codes (ICD10 codes) to medical records. The challenge stands on treating natural and nonstandard language in which doctors express their diagnoses and, additionally, to solve ...
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Hospital systems routinely assign disease codes (ICD10 codes) to medical records. The challenge stands on treating natural and nonstandard language in which doctors express their diagnoses and, additionally, to solve a large-scale classification problem, as there are thousands of possible codes. In this working notes paper, we present our system and the results of the CLEF 2018 eHealth Evaluation Task 1 on Multilingual Information Extraction-ICD10 coding. This benchmark addresses information extraction in written text with focus on several languages, specifically Hungarian, Italian and French. The goal is to automatically assign ICD10 codes to diagnostic terms of death certificates. The problem can be cast in different ways, for example as a multilabel classification task or as sequence-to-sequence prediction. Our proposal follows this last approach, with promising results, well above the average results for the task. It only relies on the material provided by the task organizers, allowing the application of the same system to all datasets.
We describe a method to automatically discover translation collocations from a bilingual corpus and how these improve a machine translation system. The process of inference of collocations is iterative: An alignment i...
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ISBN:
(纸本)9781586034528
We describe a method to automatically discover translation collocations from a bilingual corpus and how these improve a machine translation system. The process of inference of collocations is iterative: An alignment is used to derive an initial set of collocations, these are used in turn to improve the alignment and this new alignment is used to generate new collocations. This process is repeated until no more collocations are found. The final alignment and the set of collocations are used to train a translation model. We use a model that is based on finite state transducers and word clusters and has been modified to work with collocations in addition to single words. We present experiments in which we show that automatic collocations improve translation quality without prior linguistic information.
Classical ontologies are not suitable to represent imprecise or vague information, which has led to several extensions using non-classical logics. In particular, several fuzzy extensions have been proposed in the lite...
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Documents and web pages share many similarities. Thus classification methods used in documents can be applied to advanced web content, with or even without modifications. Algorithms for document and web classification...
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Services science(SSME) is a *** the 2006 manifesto published by Communications of ACM several universities are launching SSME *** order to give a well founded overview of SSME and related curricula,we first address SS...
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Services science(SSME) is a *** the 2006 manifesto published by Communications of ACM several universities are launching SSME *** order to give a well founded overview of SSME and related curricula,we first address SSME scope *** on we summarize the main contents of the curriculum and particularly the learning approach in the core *** case studies,we describe the SSME curriculum of University of Peking and University of *** we consider *** service engineers are designers of IT-enabled services who know how to analyze and design business service chains and to identify,customize and integrate appropriate IT *** from traditional IT engineers,service engineers use a critical value based approach with a faster and comprehensive analysis
Services science (SSME) is a reality. After the 2006 manifesto published by Communications of ACM several universities are launching SSME curricula. In order to give a well founded overview of SSME and related curricu...
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Services science (SSME) is a reality. After the 2006 manifesto published by Communications of ACM several universities are launching SSME curricula. In order to give a well founded overview of SSME and related curricula, we first address SSME scope issues. Later on we summarize the main contents of the curriculum and particularly the learning approach in the core classes. As case studies, we describe the SSME curriculum of University of Peking and University of Pavia. Finally we consider results. Graduate service engineers are designers of IT-enabled services who know how to analyze and design business service chains and to identify, customize and integrate appropriate IT modules. Differently from traditional IT engineers, service engineers use a critical value based approach with a faster and comprehensive analysis
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