This week’s seminar is organized as follows:
1. The seminar time is 1.pm, Fri<\/strong>, at Zhongguancun Technology Park ,Building 5, 1306.
2. The lecturer is Ilham<\/strong>, the paper’s title is 3HAN: A Deep Neural Network for Fake News Detection<\/strong>.
3. The seminar will be hosted by Zhaoyou Liu.
4. Attachment is the paper of this seminar, please download in advance.

<\/p>\n\n\n\n

Anyone interested in this topic is welcomed to join us. the following is the abstract for this week\u2019s paper<\/p>\n\n\n\n

\n\t
\n\t\t3HAN: A Deep Neural Network for Fake News Detection<\/span>\n\t<\/p>\n\t
\n\t\tSneha Singhania Nigel Fernandez and Shrisha Rao\n\t<\/p>\n\t
\n\t\tAbstract<\/span>\n\t<\/p>\n\t
\n\t\t The rapid spread of fake news is a\nserious problem calling for AI solutions. We employ a deep learning based\nautomated detector through a three level hierarchical attention network (3HAN)\nfor fast, accurate detection of fake news. 3HAN has three levels, one each for\nwords, sentences, and the headline, and constructs a news vector: an effective\nrepresentation of an input news article, by processing an article in an\nhierarchical bottom-up manner. The headline is known to be a distinguishing\nfeature of fake news, and furthermore, relatively few words and sentences in an\narticle are more important than the rest. 3HAN gives a differential importance\nto parts of an article, on account of its three layers of attention. By\nexperiments on a large real-world data set, we observe the effectiveness of\n3HAN with an accuracy of 96.77%. Unlike some other deep learning models, 3HAN\nprovides an understandable output through the attention weights given to\ndifferent parts of an article, which can be visualized through a heatmap to\nenable further manual fact checking.<\/span>\n\t<\/p>\n<\/div>\n\n\n\n
$\"\"$ <\/figure>\n\n\n\n
3HAN A Deep Neural Network for Fake News Detection<\/a>\u4e0b\u8f7d<\/a><\/div>\n\n\n\n\n\n\n\n
NLPIR\nSEMINAR 13th ISSUE COMPLETED<\/strong><\/h3>\n\n\n\n
\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Last week, Ilham gave a presentation about the paper, 3HAN: A Deep Neural Network for Fake News Detection, and shared some opinion on it.<\/p>\n\n\n\n
$\"\"$ <\/figure>\n\n\n\n
After the presentation, several questions\nwere asked. The Q&As are listed as following:<\/p>\n\n\n\n
Q:Is this paper dependent on content, whether the title is more important? because there are many news’ contents in China that do not match the title.
A: This paper uses 3HAN, it has three levels, one each for words, sentences, and the headline, and constructs a news vector, different parts of an article have a attention weights.<\/p>\n\n\n\n
Q: Does anyone have ideals about detecting fake news?
\nA: our jobs may not only be in detecting fake news, in social media , wo can find its original organization which organization posted this news by its contents.<\/p>\n","protected":false},"excerpt":{"rendered":"
NLPIR SEMINAR Y2018#13 INTRO &nbsp … \u7ee7\u7eed\u9605\u8bfb →<\/span><\/a><\/p>\n","protected":false},"author":862,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[37,38],"tags":[],"_links":{"self":[{"href":"http:\/\/www.nlpir.org\/wordpress\/wp-json\/wp\/v2\/posts\/6211"}],"collection":[{"href":"http:\/\/www.nlpir.org\/wordpress\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/www.nlpir.org\/wordpress\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/www.nlpir.org\/wordpress\/wp-json\/wp\/v2\/users\/862"}],"replies":[{"embeddable":true,"href":"http:\/\/www.nlpir.org\/wordpress\/wp-json\/wp\/v2\/comments?post=6211"}],"version-history":[{"count":6,"href":"http:\/\/www.nlpir.org\/wordpress\/wp-json\/wp\/v2\/posts\/6211\/revisions"}],"predecessor-version":[{"id":6289,"href":"http:\/\/www.nlpir.org\/wordpress\/wp-json\/wp\/v2\/posts\/6211\/revisions\/6289"}],"wp:attachment":[{"href":"http:\/\/www.nlpir.org\/wordpress\/wp-json\/wp\/v2\/media?parent=6211"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/www.nlpir.org\/wordpress\/wp-json\/wp\/v2\/categories?post=6211"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/www.nlpir.org\/wordpress\/wp-json\/wp\/v2\/tags?post=6211"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}

NLPIR SEMINAR Y2018#13<\/h2>\n\n\n\n