2002) that contain the answer to the given
In this paper we describe an algorithm that
TREC question.
learns possible syntactic answer sentence formu-
lations for syntactic question classes from a set of
In total, the data available to us for our experi-
example question/answer sentence pairs. Unlike
ments consists of 8,830 question/answer sentence
the related work described above, it acknowledges
pairs. This data is publicly available, see (Kaisser
that a) a valid answer sentence’s syntax might
and Lowe, 2008). The algorithm described in this
be very different for the question’s syntax and b)
paper has three main steps:
several valid answer sentence structures, which
Phrase alignment Key phrases from the ques-
might be completely independent from each other,
tion are paired with phrases from the answer
can exist for one and the same question.
sentences.
To illustrate this consider the question “When
was Alaska purchased?” The following four sen-
Pattern creation The dependency structures of
queries and answer sentences are analyzed
tences all answer the given question, but only the
first sentence is a straightforward reformulation of
and patterns are extracted.
the question:
Pattern evaluation The patterns discovered in
the last step are evaluated and a confidence
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