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" …

Content analysis is one of the most important but complex research methodologies in the
social sciences. In this thoroughly updated Second Edition of The Content Analysis …

Text is a typical example of unstructured and heterogeneous data in which massive useful
knowledge is embedded. Sentiment analysis is used to analyze and predict sentiment …

This paper briefly surveys three of the main resources for word sense disambiguation that
are currently in use–WordNet, FrameNet, and Levin classes–and proposes an alternative …

This paper presents a novel approach to constructing multilingual lexical databases using
semantic frames. Starting with the conceptual information contained in the English FrameNet …

The project LE-SIMPLE is an innovative attempt at building harmonized syntacticsemantic
lexicons for twelve European languages, intended for use in different Human Language …

This chapter examines the nature of semantic relations and their main applications in
information science. The nature and types of semantic relations are discussed from the …

We introduce Wiktionary as an emerging lexical semantic resource that can be used as a
substitute for expert-made resources in AI applications. We evaluate Wiktionary on the …

This paper describes a method to automatically create and maintain gazetteers for Named
Entity Recognition (NER). This method extracts the necessary information from linguistic …

We translated an existing English negation lexicon (NegEx) to Swedish, French, and
German and compared the lexicon on corpora from each language. We observed Zipf's law …