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  2. Question answering - Wikipedia

    en.wikipedia.org/wiki/Question_answering

    Accepting natural language questions makes the system more user-friendly, but harder to implement, as there are a variety of question types and the system will have to identify the correct one in order to give a sensible answer. Assigning a question type to the question is a crucial task; the entire answer extraction process relies on finding ...

  3. List of datasets for machine-learning research - Wikipedia

    en.wikipedia.org/wiki/List_of_datasets_for...

    An end-to-end open-domain question answering. This dataset includes 14,000 conversations with 81,000 question-answer pairs. Context, Question, Rewrite, Answer, Answer_URL, Conversation_no, Turn_no, Conversation_source Further details are provided in the project's GitHub repository and respective Hugging Face dataset card. Question Answering ...

  4. Defense Manpower Data Center - Wikipedia

    en.wikipedia.org/wiki/Defense_Manpower_Data_Center

    The Defense Manpower Data Center (DMDC) serves under the Office of the Secretary of Defense to collate personnel, manpower, training, financial, and other data for the Department of Defense. This data catalogues the history of personnel in the military and their family for purposes of healthcare, retirement funding and other administrative needs.

  5. List of datasets in computer vision and image processing

    en.wikipedia.org/wiki/List_of_datasets_in...

    Large dataset of images for object classification. Images categorized and hand-sorted. 30,607 Images, Text Classification, object detection 2007 [29] [30] G. Griffin et al. COYO-700M Image–text-pair dataset 10 billion pairs of alt-text and image sources in HTML documents in CommonCrawl 746,972,269 Images, Text Classification, Image-Language ...

  6. FM 2-22.3 Human Intelligence Collector Operations - Wikipedia

    en.wikipedia.org/wiki/FM_2-22.3_Human...

    Pertinent questions are asked directly "as long as the source is answering the questions in a truthful manner". In almost all HUMINT collection this is the first approach used, and an alternative approach is chosen once the source refuses to answer, avoids answering, or answers falsely. Incentive approach. A real or emotional reward is given ...

  7. What a study of AI copilots for lawyers says about the future ...

    www.aol.com/finance/study-ai-copilots-lawyers...

    The Stanford team claims their questions are a better test of how legal copilots may perform in a real-world setting than bar exam questions—especially because a lot of datasets of bar exam ...

  8. Correlates of War - Wikipedia

    en.wikipedia.org/wiki/Correlates_of_War

    The Correlates of War project is an academic study of the history of warfare.It was started in 1963 at the University of Michigan by political scientist J. David Singer. [1] [2] Concerned with collecting data about the history of wars and conflict among states, the project has driven forward quantitative research into the causes of warfare.

  9. Defense Switched Network - Wikipedia

    en.wikipedia.org/wiki/Defense_Switched_Network

    In 1982, the DSN was designated by the Office of the Secretary of Defense (OSD) and the Joint Chiefs of Staff (JCS) as the provider of long-distance communications service for the DOD. The DSN is designated as a primary system of communication during peacetime, periods of crisis, preattack, non-nuclear, and post-attack phases of war.