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Neural Representation Learning in NLP | 直播预告·PhD Talk #07

PaperWeekly  · 公众号  · 科研  · 2017-05-17 07:28

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「PhD Talk」是 PaperWeekly 的学术直播间,旨在帮助更多的大牛 PhD 和青年学者宣传其最新科研成果。我们一直认为,单向地输出知识并不是一个最好的方式,而有效地反馈和交流可能会让知识的传播更加有意义,从而产生更大的价值。
这是第 7 期「PhD Talk」


嘉宾介绍


刘鹏飞

复旦大学博士生


Pengfei Liu, a full-time Bachel-Phd Candidate (3rd year) in School of Computer Science at Fudan University, advised by Prof. Xipeng Qiu and Prof. Xuanjing Huang. So far, His research work has concentrated on representation learning for natural language processing and multi-task learning. He has published several related papers as the first author in ACL, EMNLP and IJCAI, and got Baidu Scholarship in 2016, IBM PhD Fellowship in 2017.



活动主题


Learning representations with neural network models has shown great effectiveness in many natural lanaguage processing (NLP) tasks, in which texts are encoded as continuous vectors. In this report, I will cover the selected research topics on neural network-based models which aim to learn representations for text spans of different granularities, e.g., words, phrases, sentences and sentence pairs.


活动时间


5 月 18 日 本周四 20:00



活动地点


使用 斗鱼App 搜索房间号「1743775」

通过 PC端 访问:https://www.douyu.com/paperweekly



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PaperWeekly是一个推荐、解读、讨论、报道人工智能前沿论文成果的学术平台。如果你研究或从事AI领域,欢迎在公众号后台点击 「交流群」 ,小助手将把你带入PaperWeekly的交流群里。







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