indicated to be
contemporary research topics.
Best regards,
Adam Sobieski
[1] http://www.phoster.com/artificial-wisdom/
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Aaron,
Interesting ideas. I’ve thought about these topics in the contexts of digital
textbooks and e-learning, adaptive content and adaptive explanation.
An implementation idea is that users could have settings and preferences and
that these could be accessed in the server-side processing o
Wikimedia Foundation
On Wed, Oct 17, 2018 at 2:32 AM Adam Sobieski wrote:
>
> I would like to share, for discussion, some knowledge representation ideas
> with respect to a URL-addressable predicate calculus.
>
> In the following examples, we can use the prefix “mw” for
> “https:
the HTTP return codes of 4xx and
5xx, some requested formats may be able to encode error-related data.
Best regards,
Adam Sobieski
From: Wiki-research-l on behalf
of f...@imm.dtu.dk
Sent: Wednesday, October 17, 2018 7:40:52 AM
To: wiki-re
he same
set. T0, T1, T2 need not be constrained to be types from a type system.
8. The values for T0, T1, T2, A0, A1, A2, that is t0, t1, t2, arg0, arg1, arg2,
could also each resolve to URLs.
Best regards,
Adam Sobieski
http://www.phoster.com/contents/
__
respect to the future of machine-utilizable
crowdsourced lexicons.
Best regards,
Adam
From: Wiki-research-l on behalf
of Adam Sobieski
Sent: Thursday, May 31, 2018 4:26:46 PM
To: Research into Wikimedia content and communities
Subject: Re: [Wiki
his RDF representation into
https://query.wikidata.org in order to be able to execute SPARQL queries on
it.
Cheers,
Thomas
[1] https://mediawiki.org/wiki/Extension:WikibaseLexeme/RDF_mapping
Le jeu. 31 mai 2018 à 05:22, Adam Sobieski a
écrit :
> Micru,
> Finn,
>
> Thank you for th
Micru,
Finn,
Thank you for the hyperlinks to the pertinent projects.
I’m thinking that machine lexicon services could include URL-addressible: (1)
headwords and lemmas, (2) conjugations and declensions, and (3) specific senses
or definitions. Each conjugation or declension could have its own
U
INTRODUCTION
Machine-utilizable lexicons can enhance a great number of speech and natural
language technologies. Scientists, engineers and technologists – linguists,
computational linguists and artificial intelligence researchers – eagerly await
the advancement of machine lexicons which include
Monday, May 21, 2018 8:40 AM
To: Research into Wikimedia content and
communities<mailto:wiki-research-l@lists.wikimedia.org>; Adam
Sobieski<mailto:adamsobie...@hotmail.com>
Cc: Niklas Laxström<mailto:niklas.laxst...@helsinki.fi>
Subject: Re: [Wiki-research-l] Wiki Dialogue Syste
-based interactions and the editing of
dialogue system content and behavior.
Best regards,
Adam Sobieski
http://www.phoster.com/contents/
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