Abstract
This paper has proposed a novel method based on different characteristics combination to do paraphrase recognition. We employ different measurements to weigh the lexical part and syntactic part due to that the different part of sentence makes distinguishing contribution to the sentence semantic during the task of paraphrase recognition. Our experiment is conducted by parsing the pair sentences of MSRPC first, then followed by adopting differentiated weights to calculate the power of different parts of the sentence.Through this method, we have obtained the outperform precision and average F value result compared with the previous approaches.
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Zhang, M., Zhang, H., Wu, D., Pan, X. (2014). Sentence Level Paraphrase Recognition Based on Different Characteristics Combination. In: Sun, M., Liu, Y., Zhao, J. (eds) Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data. NLP-NABD CCL 2014 2014. Lecture Notes in Computer Science(), vol 8801. Springer, Cham. https://doi.org/10.1007/978-3-319-12277-9_25
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DOI: https://doi.org/10.1007/978-3-319-12277-9_25
Publisher Name: Springer, Cham
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