The rapid development of the internet, mobile internet and social media has brought unprecedented opportunities and challenges for the research of natural language processing technologies in the big data era. Such technologies include information retrieval, text mining, knowledge discovery, social media analysis, as well as machine learning, especially deep learning for natural language processing. This Advanced Disciplines Lectures “Natural Language Processing in the Era of Big Data: Theory, Algorithm and Architecture” will invite the famous experts and professors from Academia and Industry to give systematic lectures on the fundamental theories, algorithms, architecture and other hot-spot issues on natural language processing under big data environment. The objective of the lectures is to provide a three-day learning and communication platform for the young scholars and students to rapidly understand the element concepts, research contents, approaches and growing tendencies in the area.

Xuanjing Huang is a Professor of the School of Computer Science, Fudan University, Shanghai, China. She received her PhD degree in Computer Science from Fudan University in 1998. From 2008 to 2009, she is a visiting scholar in CIIR, UMass Amherst. Her research interest includes text retrieval, natural language processing, and data intensive computing. She has published dozens of papers in several major conferences including SIGIR, ACL, ICML, IJCAI, AAAI, CIKM, ISWC, EMNLP, WSDM and COLING. In the research community, she served as the organizer of WSDM 2015, competition chair of CIKM 2014, tutorial chair of COLING 2010, SPC or PC member of past IJCAI, ACL, SIGIR, WWW, EMNLP, COLING, CIKM, WSDM and many other conferences.

Yiqun Liu received his B.S. and Ph. D degrees in Tsinghua University in 2003 and 2007, separately. He is now working as associate professor and vice chair at the Department of Computer Science and Technology in Tsinghua University. His major research interests is in Web Search, especially in search user behavior modeling, search performance evaluation and Web data quality estimation. He is also a Principle Investigator (PI) of a joint Center (named NExT) between National University of Singapore and Tsinghua University to develop technologies for live media search. He published around 30 papers at top-tier academic conferences and journals such as SIGIR, WWW, CIKM, WSDM, AAAI, IJCAI, ACM TWeb and JIR. He serves in the editorial board of the Information Retrieval Journal (Springer) and also as the task co-leader for the NTCIR (NII Testbeds and Community for Information access Research) IMine tasks.

ADL 59 runs in parallel with NLPCC 2015 as its tutorials. Please go to the conference registration website (http://tcci.ccf.org.cn/conference/2015/pages/page03_reg.html) to complete your registration.

在大数据时代，互联网、移动互联网和社会媒体的飞速发展为自然语言处理相关技术的发展带来了前所未有的机遇和挑战。这些技术包括信息检索、文本挖掘、知识发现、社会媒体分析、面向自然语言处理的机器学习，特别是深度学习等。本期CCF学科前沿讲习班《大数据时代的自然语言处理：理论、算法与架构》将邀请学术界和工业界的著名专家、学者对大数据环境下自然语言处理的基础理论、重要算法、系统架构以及其他热点问题进行系统的讲解。目的是为青年学者和学生提供一个三天的学习、交流机会，快速了解本领域的基本概念、研究内容、方法和发展趋势。

黄萱菁，复旦大学教授

刘奕群，清华大学副教授

江西师范大学

注册费：　（含资料和3天的午餐）
1、 9月15日前报名并缴费：会员1100元，非会员1500元
2、 9月15日之后及现场缴费：1725元

优惠办法：
1、 同一单位一次有5人报名者，第6位免注册费（无论会员与否，仅对提前注册者有效，当天不予受理）。
2、2014年参加过2次讲习班的CCF会员可优惠100元。
3、2015年参加3次讲习班的CCF会员，第4次参加时免交注册费。
4、往届学员推荐一名新学员时，推荐者当期注册费优惠100元。
5、同一单位一次参加10人（含）以上报名者，均按会员价注册。
6、预订全年活动5次（含）报名者，可享受6折优惠（900元）。
7、同时满足以上多项优惠条款时，只能选择一项。

NLPCC联合注册及优惠措施：
本次ADL同时做为NLPCC 2015（CCF国际自然语言处理与中文计算会议）的Tutorials，提供NLPCC大会与ADL的联合注册方式。详细信息请访问NLPCC 2015网站：http://tcci.ccf.org.cn/conference/2015/index.html. 联合注册将给予200元注册优惠（不能与前述优惠条款同时使用）

缴费方式：
邮寄：江西省南昌市紫阳大道99号江西师范大学计算机信息工程学院，邮编：330022 ，收款人：徐凡
银行转账：
开户行：中国银行南昌市南湖支行
户 名：南昌恒天会务会展服务有限公司
账 号：1962 1436 2434
请务必注明：参会者姓名+NLPCC2015(ADL)

报名方式：
即日起至2015年9月15日，报名者请填写附表并发送至联系人邮箱 xufan@jxnu.edu.cn，按报名先后录取（名额有限、先报先得）。学会秘书处将邮件联系确认。自9月16日起，只接受现场报名。
联系人：徐凡 E-Mail: xufan@jxnu.edu.cn
电话：18870088082
地址：江西省南昌市紫阳大道99号江西师范大学计算机信息工程学院

附件下载：
《第四届CCF自然语言处理与中文计算会议（NLPCC 2015） Tutorials及ADL 59：大数据时代的自然语言处理：理论、算法与架构》（PDF版）
《第四届CCF自然语言处理与中文计算会议（NLPCC 2015） Tutorials及ADL 59：大数据时代的自然语言处理：理论、算法与架构》（DOC版）