The solutions should be ready for inspection by Thursday 27.2.2002 (midnight).
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Describe how the AutoSlog system works using our sample terrorist data and the corresponding answer key templates.
Give (at least) 5 concept node definitions. You can present the definitions informally (not necessarily using the Lisp-style of the paper). Explain what your definitions mean (in such a way that also we can see that you have understood them...)
the AutoSlog article: E. Riloff:Automatically Constructing a Dictionary for Information Extraction Tasks, Proceedings of the 11th National Conference on Artificial Intelligence, 1993, p. 811-816.
In this exercise, we study the algorithm of AutoSlog-TS. Assume, our text collection contains the following documents:
text 1; relevant s: A group of terrorists v: attacked do: a post pp: in Nuevo Progreso. text 2; relevant s: The National offices v: were attacked time: today. s: Unidentified individuals v: detonated do: a bomb. s: The bomb v: destroyed do: a car. text 3; not relevant s: The Armed Forces units v: killed do: one rebel. s: They v: destroyed do: an underground hideout. text 4; relevant s: Unidentified individuals v: attacked do: a high tension tower. s: They v: destroyed do: it. text 5; not relevant s: The coca growers v: protest do: the destruction of their fields. s: The strike v: is supported pp: by the Shining Path.
Explain the process of AutoSlog-TS using these documents and give the ranking for the extraction patterns that are generated.
Abbreviations: s subject, v verb, do direct object, pp preposition phrase
More information: Riloff, E. "Automatically Generating Extraction Patterns from Untagged Text" Proceedings of the Thirteenth National Conference on Artificial Intelligence (AAAI-96) , 1996, pp. 1044-1049.