Ferenc, (01)
Thank you for the continuous contribution to the [ontolog-forum] list. (02)
May I suggest the following, so your posts could make it to the
community and the archives in a form that may better serve our goal of
building a dynamic knowledge repository together. (03)
ref. http://ontolog.cim3.net/forum/ontolog-forum/2010-09/threads.html (04)
1. please use "Reply" to a message to preserve the message thread (as
that would allow our archival system to thread the messages properly.) (05)
2. please preserve some header/reference information of the previous
message that you are citing. (06)
3. please use plain text in your posts (rather than "rich text"), and
leave a blank line between paragraphs and listed items. ... This will
allow the "PurpleNumbers" (ref.
http://ontolog.cim3.net/cgi-bin/wiki.pl?PurpleNumbers) to be populated
by our system. (07)
4. please observe community suggested self-regulatory guidelines (and
help keep the traffic volume of the list sane.) (08)
Thanks & regards. =ppy
-- (09)
On Sat, Sep 25, 2010 at 7:29 AM, FERENC KOVACS <f.kovacs@xxxxxxxxxxxxxx> wrote:
> John,
> Thank you very much. You are wonderful again. What a fantastic resource!
> Many thanks, Ferenc
>
> OntoNotes was announced as a big project with large resources
> that are being produced and released under the LGPL license.
> See the first excerpt at the end of this note for the main
> URL and a paragraph that describes the project.
>
> Following are the components:
>
> * Treebank. Text annotated with syntactic information
>
> * PropBank. Verbs tagged with their semantic argument structure
>
> * Word Sense. Tagging all verbs and nouns with their word sense and
> linking them to the Omega ontology
>
> * Ontology. The Omega Ontology, a broad-coverage ontology containing
> word senses
>
> * Coreference. Marking multiple mentions of the same entity in text.
>
> The second excerpt below describes the Omega ontology.
>
> These resources are very useful, especially for NLP. However, the
> intent of the OntoNotes project is to annotate huge volumes of
> text for the purpose of training statistical tools. In my opinion,
> large-scale annotation by hand is obsolescent and unnecessary.
>
> In any case, the resources can be used for other projects as well.
>
> John Sowa
>
> ______________________________________________________________
>
> From http://www.bbn.com/ontonotes/
>
> The OntoNotes project is a collaborative effort between Raytheon BBN
> Technologies, the University of Colorado, the University of
> Pennsylvania, and the University of Southern California's Information
> Sciences Institute to produce such a resource. It aims to annotate a
> large corpus comprising various genres of text (news, conversational
> telephone speech, weblogs, use net, broadcast, talk shows) in three
> languages (English, Chinese, and Arabic) with structural information
> (syntax and predicate argument structure) and shallow semantics (word
> sense linked to an ontology and coreference). OntoNotes builds on two
> time-tested resources, following the Penn Treebank for syntax and the
> Penn PropBank for predicate-argument structure. Its semantic
> representation will include word sense disambiguation for nouns and
> verbs, with each word sense connected to an ontology, and coreference.
> Over the course of the five-year program, our current goals call for
> annotation of over a million words each of English and Chinese, and half
> a million words of Arabic.
>
> From http://www.isi.edu/~philpot/papers/ijcnlp05/ijcnlp-olr05.pdf
>
> Omega is a 120,000-node terminological ontology constructed at USC
> ISI as the reorganization and synthesis of WordNet 2.0 (Miller 1990;
> Fellbaum 1998), a lexically oriented network constructed on general
> cognitive principles, and Mikrokosmos (Mahesh 1996; O’Hara et al.
> 1998), a conceptual resource originally conceived to support
> translation, into a new upper model, created expressly in order
> to facilitate the merging of lower models into a functional whole.
> Omega, like its close predecessor SENSUS (Knight et al. 1994), can
> be characterized as a shallow, lexically oriented, term taxonomy.
> By far the majority of its concepts can be stated in English by
> a single word. Omega contains no formal concept definitions and
> only relatively few interconnections (semantic relations)
> between concepts. By making few commitments to any specific
> theories of semantics or particular representations, Omega enjoys
> a malleability that has allowed it to be used in a variety of
> applications, including question answering and information integration.
>
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