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arXiv · 1908.03313

Using Semantic Role Knowledge for Relevance Ranking of Key Phrases in Documents: An Unsupervised Approach

Prateeti Mohapatra·Neelamadhav Gantayat·Gargi B. Dasgupta
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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.

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Prateeti Mohapatra, Neelamadhav Gantayat, Gargi B. Dasgupta. 2019-08-09. Using Semantic Role Knowledge for Relevance Ranking of Key Phrases in Documents: An Unsupervised Approach. https://arxiv.org/abs/1908.03313

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