Natural language research announcements

[Ming-Wei Chang <mchang21 AT uiuc.edu>]

Dear faculty and students,

This is a reminder for the talk by Kevin Small in this afternoon.  The
talk will start at 4:00 pm at SC 3405. Hope to see you there!

Best,

Ming-Wei



Ming-Wei Chang 
<mchang21 AT uiuc.edu>
 writes:

> Dear faculty and students,
>
> A Ph.D. candidate of CS department, Kevin Small, will give a talk (details
> below) for the AIIS seminar at 4:00 pm, Mar 19th (this Thursday). The
> room number is 3405. Hope to see you there!
>
> Interactive Learning Protocols for Natural Language Applications
>
> Statistical machine learning has become an integral technology for
> solving many informatics applications. In particular, corpus-based
> statistical techniques have emerged as the dominant paradigm for core
> natural language processing (NLP) tasks including parsing, machine
> translation, and information extraction. However, while supervised
> machine learning is well understood, its successful application to
> practical scenarios incur significant costs associated with annotating
> large data sets and feature engineering.
>
> In this talk, I will describe methods for reducing annotation costs
> and improving system performance through interactive learning
> protocols. The first part of the talk describes my research on active
> learning strategies for the structured output and pipeline model
> settings, two widely-used models for complex application scenarios
> where obtaining labeled data is particularly expensive. Secondly, I
> will introduce the interactive feature space construction protocol,
> which uses a more sophisticated interaction to incrementally add
> application-targeted domain knowledge into the feature space to improve
> performance and reduce the need for labeled data. I will also present
> empirical results for the semantic role labeling and named
> entity/relation extraction NLP tasks, demonstrating state of the art
> performance with significantly reduced annotation requirements.
>
> BIO:
>
> Kevin Small is a Ph.D. candidate in the Department of Computer Science
> at the University of Illinois at Urbana-Champaign. His research
> interests are in the areas of machine learning, natural language
> processing, and artificial intelligence. At UIUC, he is a member of
> the Cognitive Computation Group under the direction of Professor Dan
> Roth. Kevin’s primary research results concern using interactive
> learning protocols to improve the performance of machine learning
> algorithms while reducing sample complexity.
>
>
> Best,
>
> Ming-Wei
>
>
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