On 10/19/06, Peter Voss <[EMAIL PROTECTED]> wrote:
I'm often asked about state-of-the-art in AI, and would like to get some
opinions.
What do you regard, or what is generally regarded as SOTA in the various AI
aspects that may be, or may be seen to be relevant to AGI?
- NLP components such as parsers, translators, grammar-checkers
AFAIK, our group here at NIH has the state-of-the-art in extracting
knowledge from text. We have a system that reads medical abstracts -
not fake or hand-chosen texts, but horribly messy run-on sentences
with generally correct but reprehensible grammar - and extracts
predicates, like so:
Qinghaosu and its derivatives are rapidly effective antimalarial drugs
derived from a Chinese plant.
-> Qinghaosu treats malaria
Kava as an anticraving agent: preliminary data.
-> Kava treats craving
Leukotriene receptor antagonists and synthesis inhibitors are a new
class of anti-inflammatory drugs that have clinical efficacy in the
management of asthma, allergic rhinitis and inflammatory bowel
disease.
-> receptor antagonists treat asthma
receptor antogonists treat allergic rhinitis
receptor antogonists treat inflammatory bowel disease
synthesis inhibitors treat asthma
...
Unfortunately, the secret to getting such good performance is to have
lots and lots of domain knowledge, and lots of linguists studying lots
of different grammatical constructions, and lots of coders writing
code to parse each construction, and do this for many years. This
project is in its 15th year.
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