[Lisa_teatalk] Tea talk next Friday 1st november 15:00

Yoshua Bengio yoshua.bengio at gmail.com
Sat Oct 26 16:12:06 EDT 2013


Razvan,

I messed up my agenda. My flight to Korea is not Saturday morning but Friday morning.
It would be better for this week to return to the first schedule of Thursday afternoon.

Sorry,

— Yoshua

On Oct 26, 2013, at 12:12 AM, Razvan Pascanu <r.pascanu at gmail.com> wrote:

> 
> Next week we will have Xiaohua Liu giving a tea talk. NOTE the change of day to Friday and time 15:00.  Please find below the title and abstract of the talk, as well as short introduction of Xiaohua.
> Hope to see many of you there !
> 
> 
> 
> Title: 
> Collective Information Extraction for Micro-blogs
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> Abstract:
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> Within the past five years, micro-blogs have greatly developed and now become one indispensable information source. Owing to the unstructured, fragmented, informally written, noisy and real-time nature of micro-blogs, it is hard for people to effectively obtain the information of their interests from micro-blogs. 
> 
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> In this talk, I will introduce the task of information extraction for micro-blogs, which consists of a serials of sub-tasks, including Named Entity Recognition (NER), Semantic Role Labeling (SRL) and Event Extraction (EE). 
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>  
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> One main common research challenge is the dearth of information in a single micro-blog, rooted in the short and noisy nature of micro-blogs. In this talk, I will introduce the following three kinds of collective inference algorithms, which are applied to NER, SRL and EE, respectively, achieving remarkable improvements over the baselines.
> 
>  
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> 1. K-nearest neighbor (KNN) classifier based joint inference that determines the output of the current input using the outputs of the inputs similar to the current input;
> 
> 2. Cluster based joint inference that involves the following two-stage labeling: In the first round, one single micro-blog is processed as usual; in the second round, similar micro-blogs are first clustered, then for each cluster an enhanced model that utilizes cluster-level information is applied to each micro-blog in the cluster;
> 
> 3. Graphical model based joint inference that conducts an information extraction related task on a collection of related micro-blogs, sharing information across micro-blogs and simultaneously determining the outputs for all the related micro-blogs.
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> In the end, I will present a semantic search of micro-blogs called QuickView, which integrates various information extraction technologies and enables categorized browsing and advanced search of micro-blogs.
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> A few words about myself:
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>  
> 
> I am an affiliated postdoctoral research fellow of Professor Jian-Yun’s team. Before I moved to Montreal, I was Project Lead and Researcher in Microsoft Research Asia, Natural Language Computing Group.  My research interests include big data processing, social content mining, NLP for ranking, machine learning, etc. In recent three years I published 30+ papers in ACL, AAAI, IJCAI, EMNLP, COLING, and SIGIR.   At my free time, I like coding and solving software development related challenges. I authored several programming related books, including "Detailed introduction of JSP programming" and "Mastering MFC".  I received PhD from Harbin Institute Technology, in 2012.
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