Natural language research announcements

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

This is a reminder for the AIIS talk tomorrow. We will have Dr. Einat
Minkov in the AIIS seminar (details below) at 11:00 am, June 9 (Tuesday
morning). The room number is SC 3405. Hope to see you there!

We will also have a student meeting with her at SC 3405 on Wednesday
11:00-12:00. Thanks! 

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

> Dear faculty and students,
>
>      Next week we will have Dr. Einat Minkov in the AIIS
>      seminar (details below) at 11:00 am, June 9-th (next Tuesday
>      morning). The room number is SC 3405. Hope to see you there!
>
>
> Title:
> Learning to Query Heterogeneous Data
>
> Abstract:
> Structured data, describing entities and their inter-relations, can be
> accommodated and processed using relational databases. However, there
> is much information available from unstructured or semi-structured
> sources that we would like to query and reason about. In this talk, I
> will describe a query language that is applied to a graph containing a
> heterogeneous mixture of textual and non-textual objects. Random graph
> walk paradigms (e.g., Personalized PageRank) are used to rank the
> entities in the graph by their similarity, or relatedness, to a query.
> I will show that multiple tasks in a given domain can be casted as
> search queries in this framework. While graph walks provide good
> performance, machine learning techniques can be applied to adapt the
> generated similarity metric per task. In the talk, I will include an
> experimental evaluation of several classes of similarity queries from
> the domain of personal information management, where email messages,
> meeting entries and social network information extracted from a
> personal workstation are represented as a graph; for instance, we use
> similarity search to find people likely to attend a meeting. A second
> domain evaluated is the processing of parsed text as an
> entity-relation graph, where we use the graph-based similarity measure
> to extract city and person names from textual corpora.
>
> Bio:
> Einat Minkov received her bachelor's and Master's degrees in
> Industrial Engineering from Tel Aviv University in 1999 and 2000, and
> a PhD degree in Language and Information Technologies from Carnegie
> Mellon University in 2008. Currently, Dr. Minkov works at Nokia
> Research labs in Cambridge, MA. Previously, she worked at 3Com and at
> Amdocs Israel, and visited Microsfot Research labs in Redmond, WA. Dr.
> Minkov research interests include information extraction and
> integration, natural language processing and machine learning. Her
> publications may be found at her home page: http://cs.cmu.edu/~einat.
>
>
>
> Best,
>
> Ming-Wei
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