Th schedule will be harmonized with that of the other workshops so that breaks
are at the same time.
Invited Speaker: Mark Johnson
Grammars and Topic Models
Context-free grammars have been a cornerstone of theoretical computer
science and computational linguistics since their inception over half
a century ago. Topic models are a newer development in machine
learning that play an important role in document analysis and
information retrieval. It turns out there is a surprising connection
between the two that suggests novel ways of extending both grammars
and topic models. After explaining this connection, I go on to
describe extensions which identify topical multi-word collocations and
automatically learn the internal structure of named-entity phrases.
These new models have applications in text data mining and information