---
title: "Shallow Semantics for Relation Extraction"
authors:
  - "Sanda M. Harabagiu"
  - "Cosmin Adrian Bejan"
  - "Paul Morarescu"
doi: ""
url: "https://ijcai.org/proceedings/2005/217"
pdf: "https://ijcai.org/proceedings/2005/0217.pdf"
venue: "Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence"
year: 2005
pages: "1061-1065"
track: ""
keywords:
---

# Shallow Semantics for Relation Extraction

Sanda M. Harabagiu, Cosmin Adrian Bejan, Paul Morarescu

*Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence*, pages 1061-1065.

## Abstract

This paper presents a new method for extracting meaningful relations from unstructured natural language sources. The method is based on information made available by shallow semantic parsers. Semantic information was used (1) to enhance a dependency tree kernel; and (2) to build semantic dependency structures used for enhanced relation extraction for several semantic classifiers. In our experiments the quality of the extracted relations surpassed the results of kernel-based models employing only semantic class information.