Chinese text research has always been a hot and difficult point in natural language
processing. On the one hand, Chinese and English are very different in grammar, resulting …

The amount of information that a user has to deal with nowadays is huge, usually impossible
to manage. Because of that that there is a need to reduce the amount of information returned …

Publishing data about individuals is a double-edged sword; it can provide a significant
benefit for a range of organisations to help understand issues concerning individuals, and …

Úvod nijak nezmiňuje existující řešení-rychlý google search odhalí články" Text Cluster
Labeling using WorrdNet" a podobné. tf_ {i, j} na straně 5 je zřejmě tf_ {w_i, d_j} z …

The assessment of the semantic similarity between concepts is a key tool to improve the
understanding of text. The structured knowledge that ontologies provide has been …

The exploitation of microdata compiled by statistical agencies is of great interest for the data
mining community. However, such data often include sensitive information that can be …

Semantic similarity aims at quantifying the resemblance between the meaning of textual
terms. Thus, it represents the corner stone of textual understanding. Given the increasing …

New multiple access techniques aim to increase the spectral efficiency by overloading the
system, ie, with those techniques the number of users served is greater than the number of …

Purpose–To overcome the limitations of purely statistical approaches to data protection, this
paper proposes Semantic Disclosure Control (SeDC): an inherently semantic privacy …

The exploitation of personal microdata (such as census data, preferences or medical
records) is of great interest for the data mining community. Such data often include sensitive …