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Most of the revisions were of a formal nature, e.g. correct the letters for the names,
verbs tenses. The main effort was in connection with reviewing the text: the phrases
generated were incomplete or inconsistent, so it was necessary to continue to work
on accents, the verb tenses and sentence length. A quantitative revision analysis
showed a good level of automatic generation: in only 15 cases it was necessary to
change the fixed automatically generated event. Mostly wrong type solutions were
changed, with 54 change made necessary primarily to ensure a consistent level of
difficulty in finding this solution.
Therefore, important and crucial improvements shall be directed towards the an-
notations of causal links (absent in this release), the text generation task, and the
heuristic that takes care of the distractors (i.e., the wrong choices, and especially
when the annotations are poor).
Acknowledgements. This work was supported by the TERENCE project, funded by the EC
through FP7 for RTD, ICT-2009.4.2.
Special Thanks to the Team: A. Carbonelli, M.R. Cecilia, G. Cofini, G. D'Ascanio, M.
Palmerio, J. Ranieri, M. Santucci, G. Sementilli, F. Zazzara.
References
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