BIT at SemEval-2017 Task 1: Using Semantic Information Space to Evaluate Semantic Textual Similarity

@inproceedings{Wu2017BITAS,
  title={BIT at SemEval-2017 Task 1: Using Semantic Information Space to Evaluate Semantic Textual Similarity},
  author={Hao Wu and Heyan Huang and Ping Jian and Yuhang Guo and Chao Su},
  booktitle={SemEval@ACL},
  year={2017}
}
This paper presents three systems for semantic textual similarity (STS) evaluation at SemEval-2017 STS task. One is an unsupervised system and the other two are supervised systems which simply employ the unsupervised one. All our systems mainly depend on the semantic information space (SIS), which is constructed based on the semantic hierarchical taxonomy in WordNet, to compute non-overlapping information content (IC) of sentences. Our team ranked 2nd among 31 participating teams by the primary… CONTINUE READING