Projects per year
Abstract
We outline a vision for computational semantics in which formal compositional
semantics is combined with a powerful,
structured lexical semantics derived from
distributional statistics. We consider how
existing work (Lewis and Steedman, 2013)
could be extended with a much richer
lexical semantics using recent techniques
for modelling processes (Scaria et al.,
2013)—for example, learning that
visiting
events start with
arriving
and end with
leaving. We show how to closely integrate this information with theories of formal semantics, allowing complex compositional inferences such as
is visiting→has
arrived in but will leave, which requires
interpreting both the function and content
words. This will allow machine reading
systems to understand not just
what
has
happened, but
when.
Original language | English |
---|---|
Title of host publication | Proceedings of the ACL 2014 Workshop on Semantic Parsing |
Place of Publication | Baltimore, MD |
Publisher | Association for Computational Linguistics |
Pages | 28-32 |
Number of pages | 5 |
Publication status | Published - 1 Jun 2014 |
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Dive into the research topics of 'Combining Formal and Distributional Models of Temporal and Intensional Semantics'. Together they form a unique fingerprint.Projects
- 2 Finished
-
Xperience - 'Robotes Bootstrapped through Learning from Experience'
Steedman, M., Geib, C. & Petrick, R.
1/01/10 → 31/12/15
Project: Research