{"id":1421,"date":"2020-11-02T14:53:00","date_gmt":"2020-11-02T06:53:00","guid":{"rendered":"https:\/\/achieve.dhcn.cn\/?p=1421"},"modified":"2021-04-10T22:58:01","modified_gmt":"2021-04-10T14:58:01","slug":"dh%e5%9b%bd%e5%a4%96%e6%9c%80%e6%96%b0%e5%8a%a8%e6%80%81%ef%bc%882020%e5%b9%b49%e6%9c%8815%e6%97%a5%e8%87%b32020%e5%b9%b410%e6%9c%8828%e6%97%a5%ef%bc%89","status":"publish","type":"post","link":"https:\/\/achieve.dhcn.cn\/en\/site\/news_information\/comprehensive\/1421.html","title":{"rendered":"DH\u56fd\u5916\u6700\u65b0\u52a8\u6001\uff082020\u5e749\u670815\u65e5\u81f32020\u5e7410\u670828\u65e5\uff09"},"content":{"rendered":"

\u6574\u7406\u8005\uff1a\u5c1a\u95fb\u4e00\uff1b \u8f6c\u81ea\uff1a\u516c\u4f17\u53f7 DH\u6570\u5b57\u4eba\u6587<\/p>\n\n\n\n

\"\u6b64\u56fe\u50cf\u7684alt\u5c5e\u6027\u4e3a\u7a7a\uff1b\u6587\u4ef6\u540d\u4e3a111111111111111111111111111111111111111111.png\"\/<\/figure>\n\n\n\n

\u6574\u7406\u4eba\uff1a\u5c1a\u95fb\u4e00 \/ \u7f8e\u56fd\u4f0a\u5229\u8bfa\u4f0a\u5927\u5b66\u5384\u5df4\u7eb3\u9999\u69df\u6821\u533a\u4fe1\u606f\u79d1\u5b66\u5b66\u9662\u535a\u58eb\u751f
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01<\/span><\/strong><\/p>\n\n\n\n

\u7f8e\u56fd\u5f17\u5409\u5c3c\u4e9a\u5927\u5b66\u7684Brandon Walsh\uff08\u5f17\u5409\u5c3c\u4e9a\u5927\u5b66\u56fe\u4e66\u9986\uff09\u548cRebecca Draughon\uff08\u5f17\u5409\u5c3c\u4e9a\u5927\u5b66\u5b97\u6559\u7814\u7a76\u7cfb\uff09\u5236\u4f5c\u4e86\u201cA Humanist\u2019s Cookbook for Natural Language Processing in Python\u201d\u7684\u7814\u7a76\u9879\u76ee\uff0c\u901a\u8fc7\u4e3a\u4eba\u6587\u5b66\u8005\u8bbe\u8ba1\u7684\u4e00\u7cfb\u5217\u7684Jupyter notebook\uff0c\u8ba8\u8bba\u4e86\u6587\u672c\u5206\u6790\u7684\u5e38\u89c1\u6570\u636e\u64cd\u4f5c\u95ee\u9898:<\/p>\n\n\n\n

https:\/\/scholarslab.lib.virginia.edu\/blog\/a-humanists-cookbook-for-natural-language-processing-in-python\/02<\/a><\/p>\n\n\n\n

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02<\/span><\/strong><\/p>\n\n\n\n

\u4ee5\u8272\u5217\u5b66\u8005Ethan Fetaya\uff08\u4ee5\u8272\u5217Bar-Ilan University\u5927\u5b66\uff09\u7b49\u4eba\u901a\u8fc7\u5faa\u73af\u795e\u7ecf\u7f51\u7edc\u91cd\u6784\u4e86\u5df4\u6bd4\u4f26\u6ce5\u677f\u6587\u732e\u7684\u6b8b\u7247\uff0c\u53d1\u8868\u4e8e2020\u5e74\u4e5d\u6708\u4efd\u7684\u7684PNAS<\/em>\uff08Proceedings of the National Academy of Sciences of the United States of America<\/em>\uff09\u671f\u520a\u4e2d\u3002\u5e94\u5f53\u662f\u4e00\u4e2a\u91cd\u8981\u7684\u7a81\u7834:<\/p>\n\n\n\n

https:\/\/www.pnas.org\/content\/117\/37\/22743<\/a><\/p>\n\n\n\n

Abstract\uff1a<\/span><\/strong><\/p>\n\n\n\n

The main sources of information regarding ancient Mesopotamian history and culture are clay cuneiform tablets. Many of these tablets are damaged, leading to missing information. Currently, the missing text is manually reconstructed by experts. We investigate the possibility of assisting scholars, by modeling the language using recurrent neural networks and automatically completing the breaks in ancient Akkadian texts from Achaemenid period Babylonia.<\/p>\n\n\n\n

Significance\uff1a<\/span><\/strong><\/p>\n\n\n\n

The documentary sources for the political, economic, and social history of ancient Mesopotamia constitute hundreds of thousands of clay tablets inscribed in the cuneiform script. Most tablets are damaged, leaving gaps in the texts written on them, and the missing portions must be restored by experts. This paper uses available digitized texts for training advanced machine-learning algorithms to restore daily economic and administrative documents from the Persian empire (sixth to fourth centuries BCE). As the amount of digitized texts grows, the model can be trained to restore damaged texts belonging to other genres, such as scientific or literary texts. Therefore, this is a first step for a large-scale reconstruction of a lost ancient heritage.<\/p>\n\n\n\n

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03<\/span><\/strong><\/p>\n\n\n\n

\u52a0\u62ff\u5927McGill University\u82f1\u6587\u7cfb\u7684\u82cf\u771f\uff08Richard Jean So\uff09\u6559\u6388\u5728\u7f8e\u56fd\u54e5\u4f26\u6bd4\u4e9a\u5927\u5b66\u51fa\u7248\u793e\u51fa\u7248\u4e86\u4e86\u65b0\u4e66\uff1aRedlining Culture: A Data History of Racial Inequality and Postwar Fiction<\/em>\uff0c\u5229\u7528\u6570\u5b57\u65b9\u6cd5\u63a2\u8ba8\u6218\u540e\u7f8e\u56fd\u7684\u5c0f\u8bf4\u7684\u7ecf\u5178\u5f62\u6210\uff0c\u548c\u5176\u4e2d\u7684\u79cd\u65cf\u4e0d\u5e73\u7b49\uff1a<\/p>\n\n\n\n

https:\/\/cup.columbia.edu\/book\/redlining-culture\/9780231197731.<\/a><\/p>\n\n\n\n

\"\"<\/figure><\/div>\n\n\n\n

The canon of postwar American fiction has changed over the past few decades to include far more writers of color. It would appear that we are making progress\u2014recovering marginalized voices and including those who were for far too long ignored. However, is this celebratory narrative borne out in the data?

Richard Jean So draws on big data, literary history, and close readings to offer an unprecedented analysis of racial inequality in American publishing that reveals the persistence of an extreme bias toward white authors. In fact, a defining feature of the publishing industry is its vast whiteness, which has denied nonwhite authors, especially black writers, the coveted resources of publishing, reviews, prizes, and sales, with profound effects on the language, form, and content of the postwar novel. Rather than seeing the postwar period as the era of multiculturalism, So argues that we should understand it as the invention of a new form of racial inequality\u2014one that continues to shape the arts and literature today.

Interweaving data analysis of large-scale patterns with a consideration of Toni Morrison\u2019s career as an editor at Random House and readings of individual works by Octavia Butler, Henry Dumas, Amy Tan, and others, So develops a form of criticism that brings together qualitative and quantitative approaches to the study of literature. A vital and provocative work for American literary studies, critical race studies, and the digital humanities, Redlining Culture<\/em> shows the importance of data and computational methods for understanding and challenging racial inequality.
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ABOUT THE AUTHOR<\/span><\/strong><\/p>\n\n\n\n

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Richard Jean So is assistant professor of English and cultural analytics at McGill University. He is the author of Transpacific Community: America, China, and the Rise and Fall of a Cultural Network<\/em> (Columbia, 2016).
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04<\/span><\/strong><\/p>\n\n\n\n

Shakespeare and Company Project\u4e0eJournal of Cultural Analytics<\/em>\u548cModernism\/modernity<\/em>\u4e24\u672c\u671f\u520a\u5408\u4f5c\uff0c\u53d1\u5e03\u4e86\u5173\u4e8eShakespeare and Company\u7684\u5f81\u7a3f\u542f\u4e8b\u3002\u6587\u7ae0\u9700\u57fa\u4e8eShakespeare and Company\u7684\u6863\u6848\u53ca\u6570\u636e\uff0c\u6700\u7ec8\u53d1\u8868\u4e8e\u4e24\u7bc7\u671f\u520a\u4e4b\u4e2d\uff1a<\/p>\n\n\n\n

https:\/\/shakespeareandco.princeton.edu\/cfp\/<\/a><\/p>\n\n\n\n

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05<\/span><\/strong><\/p>\n\n\n\n

\u7f8e\u56fd\u52a0\u5dde\u5927\u5b66\u4f2f\u514b\u5229\u6821\u533a\u4fe1\u606f\u79d1\u5b66\u5b66\u9662\u7684David Bamman\u6559\u6388\u53d1\u5e03\u4e86\u62c9\u4e01\u6587\u7684\u81ea\u7136\u8bed\u8a00\u5904\u7406\u6a21\u578bBERT\uff08Bidirectional Encoder Representations from Transformer\uff09\u3002\u57fa\u4e8e642.7M\u7684\u62c9\u4e01\u6587\u6587\u672c\uff0c\u4f5c\u8005\u5b9e\u9a8c\u4e86POS\u6807\u8bb0\u3001\u8bcd\u4e49\u6d88\u6b67\u3001\u9884\u6d4b\u4fee\u6b63\u4ee5\u53ca\u53d1\u73b0\u4e0a\u4e0b\u6587\u7684\u6700\u5c0f\u8fd1\u90bb\uff1a<\/p>\n\n\n\n

https:\/\/github.com\/dbamman\/latin-bert\/blob\/master\/README.md06<\/a><\/p>\n\n\n\n

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06<\/strong><\/span><\/p>\n\n\n\n

\u52a0\u62ff\u5927McGill University\u8bed\u8a00\u3001\u6587\u5b66\u548c\u6587\u5316\u7cfb\u7684Andrew Piper\u6559\u6388\u53d1\u8868\u4e86\u65b0\u4e66Can We Be Wrong? The Problem of Textual Evidence in a Time of Data<\/em>\uff0c\u63a2\u8ba8\u4e86\u6570\u636e\u4e0e\u6587\u672c\u9610\u91ca\u4e4b\u95f4\u7684\u5173\u7cfb\uff0c\u7279\u522b\u5173\u6ce8\u201cgeneralization\u201d\u7684\u95ee\u9898\uff1a<\/p>\n\n\n\n

https:\/\/www.cambridge.org\/core\/elements\/can-we-be-wrong-the-problem-of-textual-evidence-in-a-time-of-data\/86A68A9A055DE5815F29AAE66F2AFF9A<\/a><\/p>\n\n\n\n

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ABOUT THE AUTHOR<\/span><\/strong><\/p>\n\n\n\n

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Andrew Piper is Professor in the Department of Languages, Literatures, and Cultures at McGill University. He directs .txtLAB, a laboratory for cultural analytics at McGill, and is editor of the Journal of Cultural Analytics<\/em>.

His work focuses on applying the tools and techniques of data science to the study of literature and culture, with a particular emphasis on questions of cultural equality. He has on-going projects that address questions of cultural capital, academic publishing and power, and the the visibility of knowledge.
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07<\/strong><\/span><\/p>\n\n\n\n

\u7f8e\u56fdCarnegie Mellon University\u56fe\u4e66\u9986\u53d1\u5e03\u4e86\u5305\u542b1960\u5e74-2020\u5e74\u7684489\u4e2a\u6570\u5b57\u4eba\u6587\u4f1a\u8bae\u7684\u7d22\u5f15\u6570\u636e\u5e93\uff0c\u53ef\u5bf9\u4f5c\u8005\u3001\u4f5c\u54c1\u3001\u4f1a\u8bae\u8fdb\u884c\u68c0\u7d22:<\/p>\n\n\n\n

https:\/\/dh-abstracts.library.cmu.edu\/08<\/a><\/p>\n\n\n\n

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08<\/span><\/strong><\/p>\n\n\n\n

\u7f8e\u56fdEmory University\u82f1\u6587\u7cfb\u7684Dan Sinykin\u6559\u6388\u53d1\u5e03\u4e86\u8bfe\u7a0b \u201cData Science with Text\u201d \u7684\u5927\u7eb2\uff0c\u4e3b\u8981\u4ecb\u7ecd\u5b9e\u7528\u6027\u6587\u672c\u6570\u636e\u6316\u6398\u65b9\u6cd5\uff1a<\/p>\n\n\n\n

https:\/\/github.com\/sinykin\/QTM-340\/blob\/master\/docs\/schedule.md09<\/a><\/p>\n\n\n\n

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09<\/span><\/strong><\/p>\n\n\n\n

\u7f8e\u56fdNew York University\u5386\u53f2\u7cfb\u7684Ben Schmidt\u6559\u6388\u53d1\u5e03\u4e86\u8bfe\u7a0b\u201cHistory of Big Data\u201d\uff0c\u4ece\u5386\u53f2\u5b66\u7684\u89d2\u5ea6\u63a2\u8ba8\u4e86\u524d\u8ba1\u7b97\u673a\u65f6\u4ee3\u201c\u5927\u6570\u636e\u201d\u7684\u6e90\u6d41\uff0c\u4e0d\u540c\u89d2\u5ea6\u7684\u6570\u5b57\u4eba\u6587\u5462\uff1a<\/p>\n\n\n\n

http:\/\/benschmidt.org\/bigdata20\/syllabus__syllabus.html<\/a><\/p>\n\n\n\n

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10<\/span><\/strong><\/p>\n\n\n\n

\u7f8e\u56fd\u5eb7\u5948\u5c14\u5927\u5b66\u4fe1\u606f\u79d1\u5b66\u7cfb\u7684David Mimno\u6559\u6388\u5236\u4f5c\u4e86\u4e3b\u9898\u5efa\u6a21\uff08topic modeling\uff09\u7684\u5728\u7ebf\u9879\u76ee\uff1ajsLDA\uff0c\u5e2e\u52a9\u975e\u6280\u672f\u80cc\u666f\u7684\u4eba\u5bf9\u4e8etopic modeling\u7406\u89e3\u3001\u5b66\u4e60\u548c\u63a2\u7d22\uff1a<\/p>\n\n\n\n

https:\/\/mimno.infosci.cornell.edu\/jsLDA\/<\/a><\/p>\n\n\n\n

\"\"<\/figure><\/div>","protected":false},"excerpt":{"rendered":"

\u7f8e\u56fd\u5f17\u5409\u5c3c\u4e9a\u5927\u5b66\u7684Brandon Walsh\uff08\u5f17\u5409\u5c3c\u4e9a\u5927\u5b66\u56fe\u4e66\u9986\uff09\u548cRebecca Draughon\u2026\u2026<\/p>","protected":false},"author":3,"featured_media":1447,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[112],"tags":[510,509],"class_list":["post-1421","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-comprehensive","tag-510","tag-509"],"blocksy_meta":{"styles_descriptor":{"styles":{"desktop":"","tablet":"","mobile":""},"google_fonts":[],"version":6}},"_links":{"self":[{"href":"https:\/\/achieve.dhcn.cn\/en\/wp-json\/wp\/v2\/posts\/1421","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/achieve.dhcn.cn\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/achieve.dhcn.cn\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/achieve.dhcn.cn\/en\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/achieve.dhcn.cn\/en\/wp-json\/wp\/v2\/comments?post=1421"}],"version-history":[{"count":2,"href":"https:\/\/achieve.dhcn.cn\/en\/wp-json\/wp\/v2\/posts\/1421\/revisions"}],"predecessor-version":[{"id":2264,"href":"https:\/\/achieve.dhcn.cn\/en\/wp-json\/wp\/v2\/posts\/1421\/revisions\/2264"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/achieve.dhcn.cn\/en\/wp-json\/wp\/v2\/media\/1447"}],"wp:attachment":[{"href":"https:\/\/achieve.dhcn.cn\/en\/wp-json\/wp\/v2\/media?parent=1421"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/achieve.dhcn.cn\/en\/wp-json\/wp\/v2\/categories?post=1421"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/achieve.dhcn.cn\/en\/wp-json\/wp\/v2\/tags?post=1421"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}