Every year, phishing results in losses of billions of dollars and is a major threat to the Internet
economy. Phishing attacks are now most often carried out by email. To better comprehend …

We present an automatic approach to the construction of BabelNet, a very large, wide-
coverage multilingual semantic network. Key to our approach is the integration of …

In this paper we present BabelNet–a very large, wide-coverage multilingual semantic
network. The resource is automatically constructed by means of a methodology that …

We automatically create enormous, free and multilingual silver-standard training annotations
for named entity recognition (ner) by exploiting the text and structure of Wikipedia. Most ner …

This paper describes a new technique for obtaining measures of semantic relatedness. Like
other recent approaches, it uses Wikipedia to provide structured world knowledge about the …

Wikipedia is a goldmine of information; not just for its many readers, but also for the growing
community of researchers who recognize it as a resource of exceptional scale and utility. It …

Recently, collaboratively constructed resources such as Wikipedia and Wiktionary have
been discovered as valuable lexical semantic knowledge bases with a high potential in …

In today's global scenario, frequent international and domestic interactions necessitate the
application of Machine Transliteration and Translation systems to overcome the language …

Recent years have seen a great deal of work that exploits collaborative, semi-structured
content for Artificial Intelligence (AI) and Natural Language Processing (NLP). This special …

One of the main obstacles to highperformance Word Sense Disambiguation (WSD) is the
knowledge acquisition bottleneck. In this paper, we present a methodology to automatically …