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Contextual Scripture Recommendation for Writers = = La recomendacion contextual de las Escrituras para escritores.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Contextual Scripture Recommendation for Writers =/
其他題名:
La recomendacion contextual de las Escrituras para escritores.
其他題名:
Recomendacion contextual de las Escrituras para escritores.
作者:
Mathias, Joshua A.
面頁冊數:
1 online resource (135 pages)
附註:
Source: Masters Abstracts International, Volume: 81-04.
Contained By:
Masters Abstracts International81-04.
標題:
Information science. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13856201click for full text (PQDT)
ISBN:
9781085779043
Contextual Scripture Recommendation for Writers = = La recomendacion contextual de las Escrituras para escritores.
Mathias, Joshua A.
Contextual Scripture Recommendation for Writers =
La recomendacion contextual de las Escrituras para escritores.Recomendacion contextual de las Escrituras para escritores. - 1 online resource (135 pages)
Source: Masters Abstracts International, Volume: 81-04.
Thesis (Master's)--University of Washington, 2019.
Includes bibliographical references
Recommendation of book passages, quotes, or citations based on a given text can aid writing, research, literary analysis, and the incorporation of legal references (e.g. laws, previous cases). Each of these applications requires domain-specific data or knowledge. This thesis focuses on recommending verses of scripture, including the highly cited King James Bible, given a paragraph as input. To represent verses and queries, I compare the TF-IDF Bag-of-Words representation with the Universal Sentence Encoder. I experiment with a novel approach to weight the context of citations in the training data. I propose the use of a transformation matrix to recommend uncited verses using the contexts of cited verses. I discuss the need to evaluate both utility and diversity of recommendations, and compare automatic metrics with a small human evaluation.
Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023
Mode of access: World Wide Web
ISBN: 9781085779043Subjects--Topical Terms:
554358
Information science.
Subjects--Index Terms:
BibleIndex Terms--Genre/Form:
542853
Electronic books.
Contextual Scripture Recommendation for Writers = = La recomendacion contextual de las Escrituras para escritores.
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Recommendation of book passages, quotes, or citations based on a given text can aid writing, research, literary analysis, and the incorporation of legal references (e.g. laws, previous cases). Each of these applications requires domain-specific data or knowledge. This thesis focuses on recommending verses of scripture, including the highly cited King James Bible, given a paragraph as input. To represent verses and queries, I compare the TF-IDF Bag-of-Words representation with the Universal Sentence Encoder. I experiment with a novel approach to weight the context of citations in the training data. I propose the use of a transformation matrix to recommend uncited verses using the contexts of cited verses. I discuss the need to evaluate both utility and diversity of recommendations, and compare automatic metrics with a small human evaluation.
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La recomendacion de pasajes de libros o citas basados en un texto dado puede ayudar en la redaccion, la investigacion, el analisis literario y la incorporacion de referencias legales (por ejemplo, leyes o casos anteriores). Cada una de estas aplicaciones requiere datos o conocimientos especificos del dominio. Esta tesis se enfoca en recomendar versiculos de las Escrituras, incluida la muy citada Biblia del rey Jacobo, dado un parrafo como entrada. Para representar versiculos y consultas, comparo la representacion del modelo de lista de palabras con Tf-idf con el Universal Sentence Encoder de Google. Experimento con un enfoque novedoso para ponderar el contexto de las citas en los datos de entrenamiento. Propongo el uso de una matriz de transformacion para recomendar versiculos no citados utilizando los contextos de los versiculos citados. Discuto la necesidad de evaluar tanto la utilidad como la diversidad de recomendaciones, y comparo las metricas automaticas con una pequena evaluacion humana.
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