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SemEval-2007 Task 04: Classification of Semantic Relations between Nominals

Proceedings of the Fourth International Workshop on Semantic Evaluations (SemEval-2007), : 13--18, 2007.
Authors: Roxana Girju and Preslav Nakov and Vivi Nastase and Stan Szpakowicz and Peter Turney and Deniz Yuret
URL: http://acl.ldc.upenn.edu/W/W07/W07-2003.pdf
Tags: 2007 compounds task workshop
Abstract: The NLP community has shown a renewed interest in deeper semantic analyses, among them automatic recognition of relations between pairs of words in a text. We present an evaluation task designed to provide a framework for comparing different approaches to classifying semantic relations between nominals in a sentence. This is part of SemEval, the 4th edition of the semantic evaluation event previously known as SensEval. We define the task, describe the training/test data and their creation, list the participating systems and discuss their results. There were 14 teams who submitted 15 systems.
| URL | BibTeX  
@inproceedings{Girju:EtAl:07,
title = {SemEval-2007 Task 04: Classification of Semantic Relations between Nominals},
address = {Prague, Czech Republic},
author = {Roxana Girju and Preslav Nakov and Vivi Nastase and Stan Szpakowicz and Peter Turney and Deniz Yuret},
booktitle = {Proceedings of the Fourth International Workshop on Semantic Evaluations (SemEval-2007)},
month = {June},
pages = {13--18},
publisher = {Association for Computational Linguistics},
url = {http://acl.ldc.upenn.edu/W/W07/W07-2003.pdf},
year = {2007},
abstract = {The NLP community has shown a renewed interest in deeper semantic analyses, among them automatic recognition of relations between pairs of words in a text. We present an evaluation task designed to provide a framework for comparing different approaches to classifying semantic relations between nominals in a sentence. This is part of SemEval, the 4th edition of the semantic evaluation event previously known as SensEval. We define the task, describe the training/test data and their creation, list the participating systems and discuss their results. There were 14 teams who submitted 15 systems.},
keywords = {2007 compounds task workshop }
}