WordNet is a large electronic lexical database for English (Miller 1995, Fellbaum 1998a). It
originated in 1986 at Princeton University where it continues to be developed and …

In this paper, we translate the glosses in the English WordNet based on the expand
approach for improving and generating wordnets with the help of multilingual neural …

Wordnets are extensively used in natural language processing, but the current approaches
for manually building a wordnet from scratch involves large research groups for a long …

In this chapter, we discuss the notion of lightweight ontologies. First defining what we mean
by ontology in our sense, we proceed to relate ontology to other related knowledge …

Over the last decades, web services are used for performing specific tasks demanded by
users. The most important task of service's classification system is to match an anonymous …

Natural Language Processing for Government: Problems and Potential Page 1 DRAFT Natural
Language Processing for Government: Problems and Potential Yudhanjaya Wijeratne, Nisansa …

Indian languages are often used in social media messages. Tamil is one of the oldest
languages which has been used often in tweets. Sentiment Analysis (SA) is a …

Mostly sentiment analysis employs dictionary approaches for recognizing the polarity of
terms in a review. However, in sentiment analysis between different domains called domain …

Sentiment analysis is a discipline of Natural Language Processing which deals with
analysing the subjectivity of the data. It is an important task with both commercial and …

In this paper we present a methodology for WordNet construction based on the exploitation
of parallel corpora with semantic annotation of the English source text. We are using this …