[NY-NLP+ML] Reminder about Prof. Satoshi Sekine's talk, this Friday

[Joseph Turian]

---------- Forwarded message ----------
From: Heng Ji <hen...@mmedia.cs.qc.cuny.edu>
Date: Tue, Apr 20, 2010 at 5:45 PM
Subject: [Nlp-announce] Reminder about Prof. Satoshi Sekine's talk, this Friday
To: nlp-an...@tulip.cs.qc.edu
Cc: Satoshi Sekine <sek...@cs.nyu.edu>


We will have lunch with Prof. Sekine after the talk in a place nearby GC,
at 2pm.  If you want to join the lunch, please let me know by Thursday
noon.


Thanks,
Heng

---------- Forwarded message ----------
Date: Sat, 3 Apr 2010 10:09:31 -0400 (EDT)
From: Heng Ji <hen...@mmedia.cs.qc.cuny.edu>
To: nlp-an...@tulip.cs.qc.edu, csg...@tulip.cs.qc.edu,
    NBisso...@gc.cuny.edu, Lina Garcia <lgar...@gc.cuny.edu>
Cc: Satoshi Sekine <sek...@cs.nyu.edu>
Subject: CUNY-NLP Talk by Prof. Satoshi Sekine (NYU), April 23


We are honored to invite Prof. Satoshi Sekine to give a talk about cutting-edge
IE research. If you are interested in meeting with the speaker, please email
Heng. CUNY faculty and students will have higher priorities, but we could
arrange meetings with non-CUNY audience too.:)

Time: 1245pm-145pm, Friday, April 23
Place: Room 6496, CUNY Graduate Center, 365 Fifth Ave (34str&35str).
Speaker: Prof. Satoshi Sekine (NYU)
Title: "On-Demand Information Extraction and Knowledge Discovery"

Abstract:

At present, adapting an Information Extraction system to new topics is
an expensive and slow process, requiring some knowledge engineering for
each new topic. We propose a new paradigm of Information Extraction
which operates 'on demand' in response to a user's query. On-demand
Information Extraction (ODIE) aims to completely eliminate the
customization effort. Given a user's query, the system will
automatically create patterns to extract salient relations in the text
of the topic, and build tables from the extracted information using
paraphrase discovery technology. It relies on recent advances in pattern
discovery, paraphrase discovery, and extended named entity tagging.
I will show you a demo system, which produce a table in less than a
minute for any give queries.

I will also explain the need of linguistic knowledge and introduce some
weakly supervised learning methods. I will show a demo of the ngram
search engine, which extracts ngrams and sentences which match to a
query with arbitrary wildcard.

Also, I will give a brief introduction about the Web People Search.
It is a task to disambiguate search results of people name and people
attribute extraction task. We organized WePS1 and 2, and currently
started the third evaluation, which includes 2 tasks: 1) the combined
task of people disambiguation and attribute extraction and 2)
organization disambiguation from twitter messages.

Speaker's bio:
Satoshi Sekine is an Research Associate Professor at New York University.
He received his MSc at UMIST, UK in 1992 and his PhD in 1998 at NYU. He
has been working on various topics, including parsing, NE, Information
Extraction and minimally supervised knowledge discovery. He edited a book
about NE from John Benjamins, organized a JHU summer workshop 2009,
WePS task, NSF symposium on Semantic Knowledge Discovery, Organization and Use
in 2008, workshop on Textual Entailment and Parsing 2007.


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