Dealing with word sense disambiguation in lexical chaining
Speaker: Mattt Enss
A lexical chain is a sequence of words in a document that are semantically
related (i.e., related in meaning). Lexical chains indicate where certain
topics or subjects are being discussed in a document. The chains therefore
can provide context and be used to determine where topic changes occur.
Other applications include document summarization and keyword generation
Prior work of mine focused on providing a generalized framework for
lexical chaining algorithms. This framework divides lexical chaining into
two distinct problems: performing word sense disambiguation, and
determining the semantic relations between disambiguated words. Adapting
prior lexical chaining algorithms, all of which perform word sense
disambiguation while chains are being built, to this framework reduces the
number chaining mistakes made. My current work focuses on the results
observed when a prior lexical chaining algorithm (Silber and McCoy 2002)
is adapted to my framework, as well as tackling some of the problems
involved in using WordNet to determine semantic relatedness.
My talk will start with an overview of lexical chaining, word sense
disambiguation and semantic relatedness, before moving on to my previous
and current work.