[ntcir:259] Seminar Talk on On-Demand Information Extraction

[<i-explosion-sec@xxxxxxxxx>]

This is an announcement for a seminar talk by Satoshi
Sekine on "On-Demand Information Extraction and Wep
People Search Project", which will be held on
Dec. 13, NII, Tokyo, Japan.

The talk will be done in Japanese with English slide.
If you are interested in, please ask further information
to the secretariat of the info-explosion project at
i-explosion-sec@xxxxxxxxx

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[Japanese Annoucement]


NTCIR関係者各位、
　(重複してお受け取りの際は何卒ご容赦願います）

本MLをお借り致しまして、以下の講演会のご案内をさせていただきます。
大変魅力ある講演会となっておりますので、是非参加をご検討ください。

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１２月１３日（木）に国立情報学研究所にて以下の講演会を開催します。
ご興味の方は、どうぞ奮ってご参加ください。

※スライドは英語、ご講演は日本語の予定です。
(The talk will be in Japanese with English Slides.)

人数確認のためあらかじめ参加を予定される方は、
本メール末尾に添付の参加申込書を i-explosion-sec@xxxxxxxxx 宛てに
ご送付ください。

当日参加も可能です。皆様のお越しをお待ちしています。

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日時：１２月１３日（木）　１３時〜１４時３０分
Date&Time: December 13 (Thu.) 13:00pm - 14:30pm
場所：国立情報学研究所　12階1208号室
Place: Room 1208, NII Hitotsubashi
http://www.nii.ac.jp/introduce/access1-j.shtml

Speaker :　Dr. Satoshi Sekine (New York University)
Title : On-Demand Information Extraction and Wep People Search Project
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講演内容の紹介（in Japanese)
-------------------------------
　今回の講演では、大きく２つの話をします。
　その中でもより大きな話は以下の説明にもあるオンデマンド情報抽出に関する
研究です。今年になってできあがったデモを利用して、新しいパラダイムのテキス
トからの情報抽出のシステムをご紹介します。
２点目は、WEB上で人名を検索したときに出現する同姓同名の曖昧性解消のプロ
ジェクトについてです。ヨーロッパを中心に行なわれているSemEvalの一つのタ
スクとして、上記のタスクを運営しましたので、その内容を報告します。
　発表は日本語で行ないますが、スライドは英語で書かれております。

Abstract of On-Demand Information Extraction:
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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.

S.Sekine "On-Demand Information Extraction" (COLING-ACL 07)
http://nlp.cs.nyu.edu/sekine/papers/coling06.pdf


Abstract of Web People Search:
---------------------------------
This task focuses on the disambiguation of person names in a Web
searching scenario. Finding people, information about people, in the
World Wide Web is one of the most common activities of Internet users.
Person names, however, are highly ambiguous. In most cases, therefore,
the results for this type of search are a mixture of pages about
different people that share the same name.

The participant's systems will receive as input, web pages retrieved
from a web search engine using a given person name as a query. The aim
of the task is to determine how many referents (different people) exist
for that person name, and assign to each referent its corresponding
documents. The challenge is to correctly estimate the number of
referents and group documents referring to the same individual.

http://nlp.uned.es/weps/

Dr. Sekine's short resume:
----------------------------
Satoshi Sekine is an Assistant Research 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 parser, NE, Information
Extraction and minimally supervised knowledge discovery. Recently, he
organized Workshop on Textual Entailment and Paraphrasing (ACL-07), Web
People Search task at SemEval-07 and served as guest editor on the
special issue on Named Entity. He lead a middle size NSF project for 5
years on On-Demand Information Extraction.

My homepage:
http://nlp.cs.nyu.edu/sekine/

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