Ted Pedersen - Current Research Interests
I have a pretty long history of research in developing and evaluating a variety of methods in Natural Language Processing,
most often involving problems of semantics or meaning. Examples have included word sense disambiguation and semantic similarity.
That said, I am no longer actively pursuing this type of research.
In more recent years, since about 2020, I have become far more interested in the social impacts of
Natural Language Processing and Artificial Intelligence. This leads to research questions that explore
the possible harms of different kinds of language technology, and the historical trends and ethical
foundations (or lack thereof) that lead to the decisions to develop and use these kinds of technologies.
Work that I particularly admire that is related to these interests includes the following :
Of course this is not meant to be an exhaustive list, but is intended
to provide starting points for research that resonates with me and
that I find especially motivating and inspiring. Please review at least
one of the above and if you share my enthusiasm and think you might like
pursue such ideas in a UROP or MS thesis under my direction, then please
be in touch via email.
I am also able to supervise UROP or MS students (Plan A or B) who are
interested in participating in a SemEval task. This is an annual friendly competition
in Natural Language Processing which starts in September and lasts
until April. You can find out more about SemEval
You can also find papers we
have done based on SemEval participation
here - just search for SemEval in the title. If you are interested in participating in
an upcoming task then please feel free to be in touch via email.
- tpederse AT d umn edu