The explosive growth of information stored in unstructured texts created a great demand for new and powerful tools to acquire useful information, such as text mining. Document clustering is one of its the powerful methods and by which document retrieval, organization and summarization can be achieved. Text documents are the unstructured databases that contain raw data collection. The clustering...

Paraphrases extracted from parallel corpora by the pivot method (Bannard and Callison-Burch, 2005) constitute a valuable resource for multilingual NLP applications. In this study, we analyse the semantics of unigram pivot paraphrases and use a graph-based sense induction approach to unveil hidden sense distinctions in the paraphrase sets. The comparison of the acquired senses to gold data from ...

Semantic web-based approaches and computational intelligence can be merged in order to get useful tools for several data mining issues. In this work a web-based tagging process followed by a validation step is carried to tag WordNet adjectives with positive, neutral or negative moods. This tagged WordNet is used to define a semantic metric for text documents clustering. Experimental results on ...

This paper focuses on the contribution of temporal relations inference and distributional semantic models to the event ordering task. Our system automatically builds ordered timelines of events from different written texts in English by performing first temporal clustering and then semantic clustering. In order to determine temporal compatibility, an inference from the temporal relationships be...

With the pervasive use of mobile devices with location sensing and positioning functions, such as Wi-Fi and GPS, people now are able to acquire present locations and collect their movement. As the availability of trajectory data prospers, mining activities hidden in raw trajectories becomes a hot research problem. Given a set of trajectories, prior works either explore density-based approaches ...

In everyday life, we often must remember the past in the absence of helpful cues in the environment. In these cases, the brain directs retrieval by relying on internally maintained cues and strategies. Free recall is a widely used behavioral paradigm for studying retrieval with minimal cue support. During free recall, individuals often recall semantically related items consecutively--an effect ...

Many approaches have been developed to comprehend software source code, most of them focusing on program structural information. However, in doing so we are missing a crucial information, namely, the domain semantics information contained in the text or symbols of the source code. When we are to understand software as a whole, we need to enrich these approaches with conceptual insights gained f...

Rules are increasingly becoming an important form of knowledge representation on the Semantic Web. There are currently few methods that can ensure that the acquisition and management of rules can scale to the size of the Web. We previously developed methods to help manage large rule bases using syntactical analyses of rules. This approach did not incorporate semantics. As a result, rule categor...

2 Episodic memory tasks 14 2.1 Free recall . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14 2.2 Semantic influences on recall performance . . . . . . . . . . . . . . . . . . . 18 2.2.1 Measures of semantic relatedness . . . . . . . . . . . . . . . . . . . . 18 2.2.2 Semantic clustering . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20 2.2.3 Memory availabili...

Limited information is available about subjective memory and strategy use in seniors with mild cognitive impairment (MCI). We investigated whether differences exist in the perception of changes in memory, perceived frequency of forgetting, overall memory evaluation, and strategy use between seniors with MCI and unimpaired older adults. The study included 56 participants, aged 60 years and older...