EOP: AdArte paper published
Roberto Zanoli
Dear EOP developers and users, our paper about AdArte (A transformation-driven approach for recognizing textual entailment) has just been published in the journal Natural Language Engineering:
http://dx.doi.org/10.1017/S1351324916000176
We would like to thank all the EOP developers and users for contributing to the EOP and supporting us in using their code; in this regard, many thanks to Vered Shwartz and Tae-Gil Noh; thanks to Lili Kotlerman and Vivi Nastase for creating and distributing the EXCITEMENT data set. Thanks to Thomas Proisl and his team for testing their system (SemantiKLUE) on the EXCITEMENT data set. Finally, a special thanks goes to Luisa Bentivogli for providing us with the new release of the SICK data set, and Alberto Lavelli for his comments and valuable suggestions.