预告AIS（ACL,IJCAI,SIGIR）2019论⽂报告会⽇程安排
AlS2019是由中国中⽂信息学会青⼯委、杭州钱塘新区管委会、搜狗搜索联合举办的论⽂报告会。会议将于2019年5⽉25⽇⼀5⽉26⽇，在杭州钱塘新区⼤创⼩镇国际创博中⼼内举办。
本次会议把ACL（国际计算语⾔学协会年会）、IJCAI（国际⼈⼯智能联合会议）、SIGIR（国际计算机学会信息检索⼤会）三⼤会议的精彩内容融为⼀体，邀请来⾃国内各地数⼗所⾼校及科研企业单位的讲者，将要在这三⼤会议上进⾏报告的论⽂进⾏提前预讲。届时，会议将以⼝头报告及展板展⽰相结合的形式，共同探讨NLP和IR等领域的前沿发展。
会议⽇程安排如下：
5⽉25⽇
09:00 - 09:30 开幕
09:30 – 10:30 AIS发展趋势报告
10:30 – 11:00 茶歇
11:00 – 12:15 对话⽣成
13:30 – 15:00 阅读理解
15:00 – 15:15 茶歇
15:15 - 17:30 推荐与检索
5⽉26⽇
09:00 – 09:50 机器学习与表⽰
09:50 – 10:40 机器翻译
10:40 – 11:00 茶歇
11:00 – 12:15 ⽂本⽣成
13:30 – 15:00 信息抽取与情感分析（⼀）
15:00 – 15:30 茶歇
15:30 – 17:00 信息抽取与情感分析（⼆）
⽇程详细安排如下：
5⽉25⽇9:00 - 9:30 开幕
5⽉25⽇09:30 – 10:30 AIS发展趋势报告
题⽬讲者
凤凰旅游攻略
刘知远
ACL趋势综述
清华⼤学IJCAI趋势综述
严睿
北京⼤学SIGIR 趋势综述
窦志成
中国⼈民⼤学
5⽉25⽇10:30 – 11:00 茶歇
5⽉25⽇11:00 – 12:15 对话⽣成秋季养肺
题⽬发表会
议
讲者
ReCoSa: Detecting the Relevant Contexts with Self-Attention for Multi-turn Dialogue Generation ACL
张海楠
中科院计算
所
Exploiting Persona Information for Diver Generation of Conversational Respons IJCAI
宋皓宇
哈尔滨⼯业
⼤学
Are Training Samples Correlated? Learning to Generate Dialogue Respons with Multiple References ACL
仇⽴松
北京⼤学
Vocabulary Pyramid Network: Multi-Pass Encoding and Decoding with Multi-Level Vocabularies for Respon Generation ACL
刘操
中科院⾃动
化所
Retrieval-Enhanced Adversarial Training for Neural Respon Generation ACL
中国母亲节
朱庆福
哈尔滨⼯业
⼤学
Outline Generation: Understanding the Inherent Content Structure of Documents SIGIR
张儒清
中科院计算
所
5⽉25⽇13:30 – 15:00 阅读理解
题⽬发表会
议
杏花造句
讲者
议
Human behavior inspired machine reading comprehension SIGIR
郑⽟昆
清华⼤学Document Gated Reader for Open Domain Question Answering SIGIR
王炳宁
搜狗
AdaNSP: Uncertainty-driven Adaptive Decoding in Neural Semantic Parsing ACL
张翔
中科院⾃动化
所
Open-Ended Long-Form Video Question Answering via Hierarchical Convolutional Self-Attention Networks IJCAI
张⽵
浙江⼤学
Teach Machine How to Read: Reading Behavior Inspired Relevance Estimation SIGIR
钻戒鉴定李祥圣
清华⼤学How Well Do Machines Perform on IQ tests: a Comparison Study on a Large-Scale Datat IJCAI
周熠
上海脑中⼼GEAR: Graph-bad Evidence Aggregating and Reasoning for Fact Verification ACL
周界
清华⼤学
Learning Reprentation Mapping for Relation Detection in Knowledge Ba Question Answering ACL
武鹏
南京⼤学
5⽉25⽇15:00 – 15:15 茶歇
5⽉25⽇15:15 - 17:30 推荐与检索
题⽬发表会
议
讲者
Lifelong Sequential Modeling with Personalized Memorization for Ur Respon Prediction SIGIR
任侃
上海交通⼤
学
A Review-Driven Neural Model for Sequential Recommendation IJCAI
⽜锡钏
武汉⼤学
武汉⼤学
Learning a Matching Model with Co-teaching for Multi-turn Respon Selection in Retrieval-bad Dialogue Systems ACL
冯家展
北京⼤学
Hot Topic-Aware Retweet Prediction with Masked Self-attentive Model SIGIR
马仁峰
复旦⼤学Cross-Modal Interaction Networks for Query-Bad Moment Retrieval in Videos SIGIR
张⽵
浙江⼤学
Finding Camouflaged Needle in a Haystack? Pornographic Products Detection via Berrypicking Tree Model SIGIR
贺国秀
武汉⼤学
Building Personalized Simulator for Interactive Search IJCAI
魏忠钰调研内容
复旦⼤学
PSGAN: A Minimax Game for Personalized Search with Limited and Noisy Click Data SIGIR
卢淑祺
中国⼈民⼤
学
A Capsule Network for Recommendation and Explaining What You Like and Dislike.SIGIR
全聪
武汉⼤学A Document-grounded Matching Network for Respon Selection in Retrieval-bad Chatbots IJCAI
赵学亮
北京⼤学
Object Detection bad Deep Unsupervid Hashing IJCAI
涂荣成
北京理⼯⼤
学
5⽉26⽇09:00 – 09:50 机器学习与表⽰学习
题⽬发表会议讲者Hybrid Actor-Critic Reinforcement Learning in Parameterized Action Space IJCAI
范⾈
上海交通⼤学
罗永洪
E^2GAN: End-to-End Generative Adversarial Network for Multivariate Time Series Imputation IJCAI
罗永洪遁入空门是什么意思啊
南开⼤学Network Embedding with Dual Generation Tasks IJCAI
李娜
南开⼤学ERNIE: Enhanced Language Reprentation with Informative Entities ACL
张正彦
清华⼤学5⽉26⽇09:50 – 10:40 机器翻译
题⽬发表会议讲者
Learning Deep Transformer Models for Machine Translation ACL
王强
东北⼤学
A Compact and Language-Sensitive Multilingual Translation Method ACL
王亦宁
中科院⾃动化所
Correct-and-Memorize: Learning to Translate from Interactive Revisions IJCAI
翁荣祥
南京⼤学
Sharing Attention Weights for Fast Transformer IJCAI
李垠桥
东北⼤学
5⽉26⽇10:40 – 11:00 茶歇
5⽉26⽇11:00 – 12:15 ⽂本⽣成
题⽬发表会
议
婚纱照排版讲者
Searching for Effective Neural Extractive Summarization：What Works and What's Next ACL
钟鸣
复旦⼤学
Triple-to-Text: Converting RDF Triples into High Quality Natural Languages via Optimizing an Inver KL Divergence SIGIR
朱耀明
上海交通⼤
学
A Dual Reinforcement Learning Framework for Unsupervid Text Style Transfer IJCAI
罗福莉
