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The patterns aim at identifying meanings using the local structural properties of the co-occurrence graph. A randomized algorithm which partitions the graph vertices by iteratively transferring the mainstream message (i.e. word sense) to neighboring vertices [12] is Chinese Whispers. By applying co-occurrence graphs approaches have been shown ...
WordNet has been used for a number of purposes in information systems, including word-sense disambiguation, information retrieval, automatic text classification, automatic text summarization, machine translation and even automatic crossword puzzle generation. A common use of WordNet is to determine the similarity between words. Various ...
In linguistics, a word sense is one of the meanings of a word.For example, a dictionary may have over 50 different senses of the word "play", each of these having a different meaning based on the context of the word's usage in a sentence, as follows:
all-words task implies disambiguating all the words of the text; lexical sample consists in disambiguating some previously chosen target words. It is assumed that the former one is more realistic evaluation, although with very laborious testing of results. Initially only the latter was used in evaluation but later the former was included.
Mscgen (short for MSC generator) is a software tool for drawing message sequence charts [1] from a simple to manage text-based source file. Rendered charts can be output in PNG, SVG and PostScript, with hyperlink information in ismap format.
If you use an Android, there’s a good chance you use Google’s Messages app to send and receive text messages, photos, voice messages and video. You can also text anyone from your computer. The ...
The underlying assumption is that similar senses occur in similar contexts, and thus senses can be induced from text by clustering word occurrences using some measure of similarity of context, [27] a task referred to as word sense induction or discrimination. Then, new occurrences of the word can be classified into the closest induced clusters ...
Predictive text could allow for an entire word to be input by single keypress. Predictive text makes efficient use of fewer device keys to input writing into a text message, an e-mail, an address book, a calendar, and the like. The most widely used, general, predictive text systems are T9, iTap, eZiText, and LetterWise/WordWise. There are many ...