I am forwarding this from the Senseval list.

Saif wrote the following summary of a discussion at the Senseval workshop
in Barcelona, and I knew that many of us might find this interesting.

There is some previous discussion of these issues on the mailing list.
There is an archive, but you must be a member to see it! So if you are
interested, you can find out how to join here...

http://www.senseval.org/contact.html

Cordially,
Ted

What follows is by Saif Mohammad:

===============

A summary of the panel discussion on the applications of word sense
disambiguation at Senseval-3 workshop, Barcelona, Spain, July 2004.

Dr. Phil Edmonds co-ordinated the discussion and introduced the topic with
a question like is WSD useful at all and whether we should concentrate on
end user applications (those for the lay man) or applications such as
machine translation.

Dr. Bill Dolan from Microsoft Research is of the belief that WSD is not
useful. It may seem that many NLP tasks need WSD but he wondered why we
have not been ab le to *show* that WSD is useful. May be we have not
reached that level accuracy in WSD or we are trying to automate a task
that is not useful. Dr. Dolan believe s that the applications do not
benefit from knowing the intended sense but rather by the ability to
identify and generate paraphrases. The ability to identify a complex
string of words to carry mor or less the same meaning as another string
is more beneficial than identifying individual senses of the words.

Dr. Dekang Lin gave a "yes and no" answer to whether WSD is useful or not.
He us ed the example "evening attire". If one wants to get info about a
particular rac ing horse and types 'evening attire' on google, we get a
lot of web pages pertai ning to clothes. However, if we add 'racing' to
the query one gets documents per taining to the horse named evening
attire. Dr. Lin thus argued that we do not ne ed explicit WSD; google
seems to do it implicitly. He says that yes, in a way, WSD is needed to
determine if two instances of a word refer to the same thing. On the
other hand, what is really needed is to determine that the meaning
represented by something is the same as the meaning represented by some
other instance. He believes that a predetermined sense inventory is not
adequate and not good for this purpose. An inventory implies that the
sense is discrete. Further granularity of senses can make a big
difference in different contexts. For example, we would like to make a
difference between opera tickets and tickets to a baseball game in certain
contexts but not so in other contexts (for example when consider ing
traffic tickets and movie/baseball tickets).

Dr. Peter Turney asked if explicit WSD is useful or not? He pointed out
that the results at DARPA suggest that implicit WSD was found to be more
useful.

Dr. Dolan replied saying that the state-of-the-art WSD systems are not
useful presently but may be next year explicit WSD will win.

Dr. Franz Och pointed out that so far people have not used WordNet etc for
machine translation. He said that syntax has not been helpful for machine
translation and believes that semantics will not help either. However, so
far integrating semantics with the statistical system has not been tried
out. He suggested that that the output of a statistical system should be
looked at and we should find out what is going wrong. Then try and use use
semantics to help in those cases.

Dr Turney commented that as per Dr. Charniak, machine translation will be
the next killer-app.

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