Abstract:
We introduce a novel approach to calculate the semantic similarity between sentences. Unlike conventional approaches, we leverage dependency grammar representations of th...Show MoreMetadata
Abstract:
We introduce a novel approach to calculate the semantic similarity between sentences. Unlike conventional approaches, we leverage dependency grammar representations of the sentences and semantic word similarity methods to find the semantic similarity between the sentences. While conventional methods can efficiently extract syntactic structure, they fail to determine the semantic relation between the sentences. Furthermore, we also explore a similar approach which was originally proposed for extractive multi-document summarisation problem. Finally, we evaluate the newly proposed approach, similar approach and the conventional approaches on the data set which is considered as the gold standard for semantic similarity problems.
Published in: 2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT)
Date of Conference: 06-08 July 2019
Date Added to IEEE Xplore: 30 December 2019
ISBN Information: