Inspire at SemEval-2016 Task 2: Interpretable Semantic Textual Similarity Alignment based on Answer Set Programming

@inproceedings{Kazmi2016InspireAS,
  title={Inspire at SemEval-2016 Task 2: Interpretable Semantic Textual Similarity Alignment based on Answer Set Programming},
  author={Mishal Kazmi and Peter Sch{\"u}ller},
  booktitle={SemEval@NAACL-HLT},
  year={2016}
}
In this paper we present our system developed for the SemEval 2016 Task 2 Interpretable Semantic Textual Similarity along with the results obtained for our submitted runs. Our system participated in the subtasks predicting chunk similarity alignments for gold chunks as well as for predicted chunks. The Inspire system extends the basic ideas from last years… CONTINUE READING