MappSent, measuring Text-to-Text Similarity

MappSent, Python system implementing a Mapping Approach for measuring Text-to-Text Similarity

  • Based on a linear text segment (e.g. sentence) embedding representation, its principle is to build a matrix that maps text segments in a joint-subspace where similar sets of segments are pushed closer.
  • We evaluate our approach on the SemEval 2016 and 2017 question-to-question similarity task and show that overall MappSent achieves competitive results and outperforms in most cases state-of-art methods.

Download the sources (under Apache v2 license)

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