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Arjen de Vries

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Articles by Arjen de Vries

Computer Science > Computation and Language

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By de Vries, Arjen de Vries, Dewi Timman
| arXiv
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
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Hatthaka

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By Arjen de Vries
| Medium
Arjen de Vries · Follow Just now -- Hatthaka Ālavaka, also known as Hatthaka of Ālavī, was the son of the ruler of Ālavī and one of the chief lay male disciples of the Buddha, along with Citta. He was enlightened as an Anāgāmi or Non-Returner. Hatthaka is considered the lay disciple of the Buddha who was foremost in gathering a following using the "four bases of sympathy" and was known for his ability to bring others to Buddhism.
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Pasenadi (JttPC - Biography)

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By Arjen de Vries
| Medium
Arjen de Vries · Follow 1 min read · -- Pasenadi on his way to visit the Buddha King of Kosala and contemporary of the Buddha. He was the son of Mahā Kosala, and was educated at Takkasilā. On his return home his father was so pleased with his proficiency in the various arts that he forthwith made him king. As ruler, Pasenadi gave himself wholeheartedly to his administrative duties and valued the companionship of wise and good men.
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High Recall, Small Data: The Challenges of Within-System Evaluation in a Live Legal Search System

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By de Vries, van der Burg, Suzan Verberne, Arjen de Vries
| arXiv
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Improving the Effectiveness and Efficiency of Web-Based Search Tasks for Policy Workers

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By Toine Pieters, Thomas Schoegje, Arjen de Vries, Lynda Hardman
| MDPI
1. Introduction We investigate how to apply the theoretical understanding of (search) tasks and information seeking on the practical development of search engines. A growing body of scientific work is investigating how a user’s search tasks affect their information seeking (e.g., [1,2,3]).
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