Shallow Semantics for Relation Extraction

Harabagiu, Sanda M.; Bejan, Cosmin Adrian; Morarescu, Paul

Shallow Semantics for Relation Extraction

Sanda M. Harabagiu, Cosmin Adrian Bejan, Paul Morarescu

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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.

Sanda M. Harabagiu, Cosmin Adrian Bejan, and Paul Morarescu. 2005. Shallow Semantics for Relation Extraction. In Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, IJCAI-05. IJCAI, 1061–1065. https://ijcai.org/proceedings/2005/217

@inproceedings{ijcai2005p217,
  title     = {Shallow Semantics for Relation Extraction},
  author    = {Harabagiu, Sanda M. and Bejan, Cosmin Adrian and Morarescu, Paul},
  booktitle = {Proceedings of the Nineteenth International Joint Conference on
               Artificial Intelligence, {IJCAI-05}},
  publisher = {International Joint Conferences on Artificial Intelligence},
  pages     = {1061--1065},
  year      = {2005},
  url       = {https://ijcai.org/proceedings/2005/217},
}

TY  - CPAPER
TI  - Shallow Semantics for Relation Extraction
AU  - Harabagiu, Sanda M.
AU  - Bejan, Cosmin Adrian
AU  - Morarescu, Paul
T2  - Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, IJCAI-05
PB  - International Joint Conferences on Artificial Intelligence
PY  - 2005
SP  - 1061
EP  - 1065
UR  - https://ijcai.org/proceedings/2005/217
ER  -