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Powerset Licenses Xerox PARC Natural Language Tech
VentureBeat and the
New York Times are out today with an update on
Powerset, which has won the rights to
natural language search technology from Xerox PARC that it hopes will make it
into the new Google, when Powerset finally launches. VentureBeat also gives us
news of at least one person from Yahoo now working there —
Tim Converse — who
left Yahoo in
December. I know others from Yahoo are also at Powerset, as well.
Last time we had news about Powerset, I did a big long rant —
Language Search, My Old Over-Hyped Search Friend — about the hype and
history often associated with natural language search. VentureBeat mentions that
rant, as does TechCrunch today in its post,
Powerset Hype To Boiling Point. So I felt I should give an update.
Unlike Matt Marshall over at VentureBeat, I’ve yet to see Powerset (right
now, you can only see it within the Powerset offices, and I’m in England, not
Silicon Valley). I have been in touch with CEO Barney Pell, and I’m looking
forward to using a working demo in the future.
I also have to stress that not having seen the tool firsthand, it could be
that I’ll be blown away and as impressed as some others are. Then again, right
now I still feel that it’s more hype than actual Google threat.
Technically, I’m "off" from writing on Fridays. So for now, I’ll just share
what I sent over to both VentureBeat and Barney last night:
Frankly, I can use Hakia right now and
have been very impressed with much of what they deliver, though not all of
that is due to the natural language
stuff. I have an article
I’m working up on it to talk about how they are better for some queries, in
I knew about some of the Yahoo people going over, including Tim.
Interesting, certainly gives more to the Powerset story to consider, but I’m
still firmly in the prove it category by actually rolling it out.
who acquired ibm
[a search cited as Powerset doing better than Google in Matt’s story]
OK, I see Surfaid, Lenovo listed, so that’s two "IBM" things acquired. I’m
not sure who searches for that [particular phrase] to find out who acquired
particular IBM units. That type of query to me feels like something you were
suggested to try, and if so, then usually it’s suggested because it’s known
that query will produce something good. Go search for travel, cars and casino
and compare those to Google and see if you’re still impressed. Those are real
Also, what’s the size of the index Powerset is searching against? Barney?
Google has in excess of 10 billion documents from across the entire web,
and that’s a low estimate. If Powerset is hitting fewer documents — and
especially a subset of say business documents — just that filtering along
might give you better results.
So later, when you ask Powerset: "What do liberal democrats say about
healthcare policy?" And that sounds really compelling. But guess what? On many
pages that say liberal democrats, you’ll also find Hillary Clinton also
What do liberal democrats say about healthcare policy: 1.4 million
What do liberal democrats say about healthcare policy hillary clinton:
Maybe that special document I needed was in the 500 million that Google’s
not picking up, because it’s not making the association. Chances are, it’s
"Powerset showed it can answer more complex questions, such as “Who did
IBM acquire in 1996?�? Here, Google completely breaks down
[quote from the story]
Breaks down because what did Powerset show? I mean, a screenshot? A list of
what was there?
FYI, if I do these:
Both bring me to Wikipedia first [via Google] which answers the question in
short order and is anything other than a failure.
Now ask yourself. If you’re looking for an IBM acquisition in 1996, don’t
you think you’re likely to wonder about a particular one? Or if you’re after
things they’ve acquired, are you that likely to put in a particular year?
Sure, some refinement suggestions would help. But you’re picking out one
query and saying Google breaks down when that might not even be a query
someone would do.
Clearly, Powerset faces challenges. Even if its technology does prove to
be useful, it isn’t clear how long it will keep its lead in the face of an
onslaught from Google. Another challenge is changing peoples’ search behavior,
which is used to keyword searches.
[quote from the story]
What lead? With respect, it doesn’t have any lead. It has some experts, a
product pitch and a product a few can play with and only internally. When it
launches, then it has a serious challenge to take on even Ask, much less
Google. I’m not saying it can’t be done — but wow, you’ve already got it
winning while it hasn’t even entered the race. Not only does it have to
attract traffic, but it needs to prove it can scale to handle that traffic and
the processing. Will it stand up to doing all this natural language processing
(which often will be unnecessary) in the face of a lot of traffic.
NOTE: Matt also replied to me:
By lead, I actually meant lead in natural language search. Clearly they
don’t have a lead in search. (though, even in natural language, I suppose you
could say that is speculation, given that [Google] tells me they’re got people
working on this).
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