1. Semantic Knowledge Discovery, Organization and Use
Semantic Knowledge is crucial
to understand human language
Russian Senator Mikhail Slonimsky was kidnapped on 3 May. The Moscow politician had left his house with his van at 7am. A few minutes later, three heavily armed men forced him to get out of his car and get into a blue Renault.
The system has to use a lot of semantic knowledge to understand that“three heavily armed men”are the perpetrators of the abduction
Prof. Satoshi Sekine
My name is Chikashi Nobata from Communication Research Laboratory Japan.
Mr. Sekine was planning to give this talk, but as he could not come to the workshop, because of the condition in New York and his flight, I will give this talk instead.
In the first half of the talk, we will explain our system for DUC, and for this part,
I developed the system with him, so I can answer your questions.
In the latter part, talking about single document summary and information extraction,
It is Mr. Sekine’s idea and thought, so I may not be able to answer your questions.
Please send him regarding that.
NYU Proteus Project

2. A snapshot of Ngram Search Engine
Types of Semantic knowledge
Synonym (kidnap and abduct)
Hypernym-hyponym (car and van)
Part-of relations (Russia and Moscow)
Paraphrase, Textual entailment (force him out of his car and kidnap)
Relation between things
(perpetrator kidnaps victim)
Relation between events (kidnapping
scenario includes capturing the victim)
NE instances (Renault is a car name)
How to create this knowledge??
Discover from large text corpora (Web, newspaper) by collocation, frequency, context, statistics, linguistics, and more…
A snapshot of Ngram Search Engine
Getting contexts of “was kidnapped by” in less than a second from 3 billion words of text