The abundant volume of natural language text in the connected world, though having a
large content of knowledge, but it is becoming increasingly difficult to disseminate it by a …

The automatic disambiguation of word senses hasbeen an interest and concern since the
earliest days of computer treatment of language in the 1950s. Sense disambiguation is an" …

It is widely acknowledged that natural language processing, as an indispensable means for
information technology, requires the strong support of world knowledge as well as linguistic …

The standard scientific methodology in linguistics is empirical testing of falsifiable
hypotheses. As such the process of hypothesis generation is central, and involves …

3 Making Sense About Sense Page 1 47 Nancy Ide1 and Yorick Wilks2 1Vassar College
2University of Sheffield We suggest that the standard fine-grained division of senses and (larger) …

This paper presents the results of a set of methods to cluster WordNet word senses. The
methods rely on different information sources: confusion matrixes from Senseval-2 Word …

In this paper we present the methodology for Word Sense Disambiguation based on domain
information. Domain is a set of words in which there is a strong semantic relation among the …

The granularity of word senses in current general purpose sense inventories is often too fine-
grained, with narrow sense distinctions that are irrelevant for many NLP applications. This …

Linked Lexical Knowledge Bases Page 1 21 CHAPTER 2 Linked Lexical Knowledge Bases In
this chapter, we move closer to the core of this book: the linking of LKBs. To this end, we first …

This paper presents an approach to automatically build a semantic perceptron net (SPN) for
topic spotting. It uses context at the lower layer to select the exact meaning of key words, and …