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| updated:
09.01.2009 |
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| Extraction of temporal, spatial and causal information from news messages |
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| Project description |
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The aim of this project is extraction
of temporal, spatial and causal information from web
pages. This information can then be exploited by a
web-based Question-Answering(QA)-system. The system
should respond to natural language question with
answers and possibly further questions for
clarification or further specification. The types of
questions will focus on temporal, spatial and causal
aspects: On which day was the general
election 2002 in Germany held? What is the name of
the chancellor? Who was chancellor in 1963? Where
was the capital of the Federal Republic of Germany in
1989? Why did the coalition of social-democrats and
liberals end?
In order to
generate high-quality answers, it is very important
to capture the described events and to derive the
expressed temporal relations between these events
from the news messages. Previous approaches to QA
cannot deliver this feature of the extracted
data. The importance of extracting such detailed
temporal information will be briefly shown at the
following example: The consultations about
the coalition started already on Monday after the
general election. The temporal anchoring
of this statement is done via the Prepositional
Phrase (PP) after the general
election. Further cues for the temporal
information to be extracted are
began,
already and on
Monday. In order to derive the meaning of
the sentence and relate this meaning to the overall
context, the following inferences have to be drawn:
(1) an event of type general election took place (2)
a temporal anchoring of the consultation is
done. After having extracted this and further
information, the following question can successfully
be answered: "When did the consultation
about the coalition of the last general election took
place?"
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| Duration |
| since 1/2001 |
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