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Titlebook: Computational Collective Intelligence; 8th International Co Ngoc-Thanh Nguyen,Lazaros Iliadis,Bogdan Trawiński Conference proceedings 2016

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WSD-TIC: Word Sense Disambiguation Using Taxonomic Information Contentete problem, that is, a task whose solution is at least as hard as the most difficult problems in artificial intelligence. This is basically used in application like information retrieval, machine translation, information extraction because of its semantics understanding. This paper describes the pr
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A Novel Approach to Identify Factor Posing Pronunciation Disordersect vocal pathologies in human speeches. From the literature, we can mention also that several factors (vocal pathology, non-native speaker, psychological state, age …) can pose pronunciation disorders [.]. But to our knowledge, no work has treated pathological speech to identify factor posing pronu
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https://doi.org/10.1007/978-94-009-7052-6nd are not very extravert, (4) the media is less sensible to the ambiance in the stadium. For validation of the model, the model outcomes were compared to the heart rate of 100 supporters and reported emotions. The model produced similar heart rate and emotional patterns. Further implications of the model are discussed.
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Self-Organization of Ribosomal RNA,predictions and is evaluated by simulation experiments and mathematical analysis. The proposed model can be important in development of a software agent which aims to improve coping with stress through social connections.
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Paul Emsley,Judit É. Debreczeniimprove the classification tasks. In this study we have analysed the use of features extracted from the structured information in the subjectivity detection task, as a first step of the polarity detection task, and their integration with classical features.
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Crystallographic Fragment Screening,The assessment of WSD systems is discussed in the context of the Senseval campaign, aiming at the objective evaluation of our proposal to the systems participating in several different disambiguation tasks.
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