Abstract Word Sense Disambiguation (WSD) systems automatically choose the intended
meaning of a word in context. In this article we present a WSD algorithm based on random …

Most any approach to interpretation of the language of law begins with a search for ordinary
meaning. Increasingly, judges, scholars, and practitioners are highlighting shortcomings in …

Query expansion (QE) is the process of reformulating a query to improve retrieval
performance. Most of the times user's query contains ambiguous terms which adds relevant …

Due to the advent of Web 2.0, the size of social media content (SMC) is growing rapidly and
likely to increase faster in the near future. Social media applications such as Instagram …

The process of identifying the actual meanings of words in a given text fragment has a long
history in the field of computational linguistics. Due to its importance in understanding the …

Judges in the United States frequently appeal to the concept of “ordinary meaning” when
tasked with interpreting legal texts. Yet US judges lack a shared, coherent definition of what …

Queries issued to a search engine are often under-specified or ambiguous. The user's
search context or background may provide information that disambiguates their information …

In the paper we present an extended version of the graph-based unsupervised Word Sense
Disambiguation algorithm. The algorithm is based on the spreading activation scheme …

Text annotation is the procedure of initially identifying, in a segment of text, a set of dominant
in meaning words and later on attaching to them extra information (usually drawn from a …

From the very beginning of the origins of the Web at CERN, one big question remains
unanswered: What is the optimum structure and content of a web site in order to attract the …