Using Semantic Role Knowledge for Relevance Ranking of Key Phrases in Documents: An Unsupervised Approach
Information Retrieval
2019-08-21 v1 Computation and Language
Abstract
In this paper, we investigate the integration of sentence position and semantic role of words in a PageRank system to build a key phrase ranking method. We present the evaluation results of our approach on three scientific articles. We show that semantic role information, when integrated with a PageRank system, can become a new lexical feature. Our approach had an overall improvement on all the data sets over the state-of-art baseline approaches.
Cite
@article{arxiv.1908.03313,
title = {Using Semantic Role Knowledge for Relevance Ranking of Key Phrases in Documents: An Unsupervised Approach},
author = {Prateeti Mohapatra and Neelamadhav Gantayat and Gargi B. Dasgupta},
journal= {arXiv preprint arXiv:1908.03313},
year = {2019}
}
Comments
5 pages