Module rte
source code
Corpus reader for the Recognizing Textual Entailment (RTE) Challenge
Corpora.
The files were taken from the RTE1, RTE2 and RTE3 datasets and the
filenames were regularized.
Filenames are of the form rte*_dev.xml and rte*_test.xml. The latter
are the gold standard annotated files.
Each entailment corpus is a list of 'text'/'hypothesis' pairs. The
following example is taken from RTE3:
<pair id="1" entailment="YES" task="IE" length="short" >
<t>The sale was made to pay Yukos' US$ 27.5 billion tax bill, Yuganskneftegaz was originally sold for US$ 9.4 billion to a little known company Baikalfinansgroup which was later bought by the Russian state-owned oil company Rosneft .</t>
<h>Baikalfinansgroup was sold to Rosneft.</h>
</pair>
In order to provide globally unique IDs for each pair, a new attribute
challenge
has been added to the root element
entailment-corpus
of each file, taking values 1, 2 or 3.
The GID is formatted 'm-n', where 'm' is the challenge number and 'n' is
the pair ID.
int
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norm(value_string)
Normalize the string value in an RTE pair's value or
entailment attribute as an integer (1, 0). |
source code
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Normalize the string value in an RTE pair's value or
entailment attribute as an integer (1, 0).
- Parameters:
value_string (str ) - the label used to classify a text/hypothesis pair
- Returns:
int
|