Investigating Lexical Substitution Scoring for Subtitle Generation
Oren Glickman, Ido Dagan, Mikaela Keller, Samy Bengio and Walter Daelemans
In: CoNLL-X, 8-9 Jun 2006, New York City, USA.
This paper investigates an isolated setting
of the lexical substitution task of replacing
words with their synonyms. In particular,
we examine this problem in the
setting of subtitle generation and evaluate
state of the art scoring methods that predict
the validity of a given substitution.
The paper evaluates two context independent
models and two contextual models.
The major findings suggest that distributional
similarity provides a useful complementary
estimate for the likelihood that
two Wordnet synonyms are indeed substitutable,
while proper modeling of contextual
constraints is still a challenging task
for future research.