Titlebook: Knowledge Discovery, Knowledge Engineering and Knowledge Management; 9th International Jo Ana Fred,David Aveiro,Joaquim Filipe Conference p

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Transfer Learning in Sentiment Classification with Deep Neural Networksrnt from a different source domain. Distinct domains are typically heterogeneous in language, so that transfer learning techniques are advisable to support knowledge transfer from source to target. Deep neural networks have recently reached the state-of-the-art in many NLP tasks, including in-domain

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Behavioural Biometric Continuous User Authentication Using Multivariate Keystroke Streams in the Speire session; not just at the beginning of the session. One example application domain, where this is a requirement, is in relation to Massive Open Online Courses (MOOCs) when users wish to obtain some kind of certification as evidence that they have successfully competed a course. Such continuous au

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Constructing Language Models from Online Forms to Aid Better Document Representation for More Effectonverting the corpus into a numeric format and applying clustering techniques to this new format. Values are assigned to terms based on their frequency within a particular document, against their general occurrence in the corpus. One obstacle in achieving this aim is as a result of the polysemic nat

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Robust Single-Document Summarizations and a Semantic Measurement of Qualitynhance keyword rankings to favor important sentences, based on which we present a number of extractive summarization algorithms using various keyword extraction and topic clustering methods. We show that our algorithms not only meet the realtime requirements but also yield the best ROUGE scores on D

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Knowledge Based System for Composing Sentences to Summarize Documents The system is also capable of identifying the main topics of the given documents and is able to derive new concepts based on the given text data. In order to process the documents conceptually to create abstractive summaries, the system makes use of the Cyc development platform that consists of the

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A Modified Version of AlQuAnS: An Arabic Language Question Answering Systemuracy. These challenges motivated us to propose AlQuAnS-an Arabic Language Question Answering System that gives promising accuracy results. This paper proposes a modified version of AlQuAnS with a higher accuracy. The proposed system enhances the accuracy of the question classification, semantic int