1. In The Difference Engine: The wisdom of crowds:
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    On 7/20/10 Ramy Ghaly said:
    "Reference to the author in the article, this comment below is an update to the technology that he referenced in the article titled "The Difference Engine: The wisdom of crowds" in the Economist dated on July 16, 2010.

    Ctrl is a library with an API that can be used to extract meta data (key topics, and entities) of any textual document, to generate a document summary, and to index and retrieve documents by topics as opposed to key words.

    Ctrl can be used in several domains for different purposes (besides the obvious application in search). For instance, in the news industry Ctrl provides a tool to automatically generate the ‘story highlights’, categorize and index any article based on its topics, and recommend related stories. This in turn helps both internal and external (users) in the retrieval of related documents for any required topic; it further allows automatic data push (could be in the form of RSS Feeds) for user‐selected topics.

    In this context, Ctrl can be used in effective targeted marketing since users are retrieving highly relevant information that exactly matches their topics of interest. Ctrl can also be the new standard in the business intelligence industry for intelligent topic‐based enterprise search. Its ability to provide relevant documents based on topics is a daily need in large corporations. The various solutions that are currently employed in the industry are quite costly and are time‐ and error-prone since they rely on expert topic (or meta‐data) engineering for effective performance. In the Intelligence community, Ctrl means cutting time and cost that is being spent on processing a huge number of documents ‘manually’ searching for relevant information about specific topics, since the identification of topics (and more importantly, the identification of the key topics) is the most important differentiator between Ctrl and existing systems. Other applications can be developed around Ctrl’s API functionality to service several other fields especially when integrated with existing software (e.g., database systems, desktop and document management tools, etc.)

    The accuracy of Ctrl's WSD algorithm in inferring the most likely meaning of a word in some context is above 80%, and, as far as we know, this accuracy rate is by far much higher than any WSD results that have been reported in the computational linguistics research.

    Ctrl give words meanings, including names of things. To do so basic reference resolution and entity identification has to be performed. Names of people, organizations, movies, etc. are not therefore just words and phrases, but are full-fledged concepts that can be related to and matched with other concepts and topics. Thus, while the sentence “popularity of former NY Yankees slugger Babe Ruth” is not at all related to “Dr. Ruth popularity in NY”, there is clearly some semantic relation between “US President Barak Obama” and “German Chancellor Angela Merkel” (due, among other things, to the semantic relationship between ‘Barak Obama’ and ‘Chancellor’, for example). Read more: http://ctrl.pragma-tech.com
    "
  2. In Socio-economic and Internet Visionary Clay Shirky on the Importance of Citizen Journalism Platform Allvoices.com:
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    On 7/9/10 Ramy Ghaly said:
    "Hello

    I like the way journalism is going into or redefining how news is produced and distributed with today’s social media technologies. A 360 degree approached in journalism, citizen’s reports, has really made a difference in many conflict regions of the world that main stream reporting is banned or censored like in recently the Iranian Green revolution.

    Moreover, one technology tool that is really worth looking into is Ctrl. The API of ctrl can be used to generate lucid document summarization, extractions of key topics, and most importantly, it can be used to index and retrieve documents by topic/subject matter as opposed to key words.

    Ctrl can be used in several domains for different purposes (besides the obvious application in search). For instance, in the news industry Ctrl provides a tool to automatically generate the ‘story highlights’, categorize and index any article based on its topics, and recommend related stories. This in turn helps both internal and external (users) in the retrieval of related documents for any required topic; it further allows automatic data push (could be in the form of RSS Feeds) for user‐selected topics. In this context Ctrl can be used in effective targeted marketing since users are retrieving highly relevant information that exactly matches their topics of interest.

    Now you can try it yourself! If you would like to receive an invitation to test ctrl online, please visit this link below:

    http://ctrl.pragma-tech.com/DemosInvitation.aspx

    Cheers,

    Ramy Ghaly
    "
  3. In Better Arabic Parsing: Baselines, Evaluations, and Analysis:
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    On 7/7/10 Ramy Ghaly said:
    "Hello

    It is very difficult to work on other languages especially Arabic. The grammar in Arabic is believed to be the hardest language of them all. Needless to say, this paper has done great research in establishing higher parsing baseline. Good Job! Hope to see more improvement of that in the future.

    Moreover, I would like to share with you this new text library API by Ctrl. The API of ctrl can be used to generate lucid document summarization, extractions of key topics, and most importantly, it can be used to index and retrieve documents by topic/subject matter as opposed to key words.

    Ctrl can be used in several domains for different purposes (besides the obvious application in search). For instance, in the news industry Ctrl provides a tool to automatically generate the ‘story highlights’, categorize and index any article based on its topics, and recommend related stories. This in turn helps both internal and external (users) in the retrieval of related documents for any required topic; it further allows automatic data push (could be in the form of RSS Feeds) for user‐selected topics. In this context Ctrl can be used in effective targeted marketing since users are retrieving highly relevant information that exactly matches their topics of interest.

    Now you can try it yourself! If you would like to receive an invitation to test ctrl online, please visit this link below:

    http://ctrl.pragma-tech.com/DemosInvitation.aspx

    Cheers and good luck,

    Ramy Ghaly
    "
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  6. In AUC computing students excel at international competitions:
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    On 4/14/10 RIVERABrandi said:
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  7. In A Computational Algorithm based on Empirical Analysis, that Composes Sanskrit Poetry. (arXiv:1003.1455v1 [cs.CL]):
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    On 3/9/10 sfauthor said:
    "
    Nice posting. Do you know about these Sanskrit books?

    http://www.YogaVidya.com/freepdfs.html

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  8. In Computer-Based Assessment: From Objective Tests to Automated Essay Grading. Now for Automated Essay Writing?:
    Reply Permalink
    On 5/16/09 richie said:
    "Technology does save essay grading time. I found a great essay grading resource that saves time. It uses Microsoft Word with canned comments in the Replace function. Students pay attention to the comments and have to revise accordingly. It's at http://penningtonpublishing.com/blog/grammar_mechanics/how-to-save-time-grading-essays/

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