Abstract
The NLP community has shown a renewed interest in deeper semantic analyses, among them automatic recognition of semantic relations in text. We present the development and evaluation of a semantic analysis task: automatic recognition of relations between pairs of nominals in a sentence. The task was part of SemEval-2007, the fourth edition of the semantic evaluation event previously known as SensEval. Apart from the observations we have made, the long-lasting effect of this task may be a framework for comparing approaches to the task. We introduce the problem of recognizing relations between nominals, and in particular the process of drafting and refining the definitions of the semantic relations. We show how we created the training and test data, list and briefly describe the 15 participating systems, discuss the results, and conclude with the lessons learned in the course of this exercise.
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Notes
See http://purl.org/net/semeval/task4 for material related to Task 4.
Because this paper serves also as a documentation of the data set, the order of relations in the table is the same as in the data set.
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Acknowledgments
We thank Eneko Agirre, Lluís Márquez and Richard Wicentowski, the organizers of SemEval-2007, for their guidance and prompt support in all organizational matters. Marti Hearst offered valuable advice throughout the task description and debates on definitions of semantic relations. We also thank all the participants in the SemEval-2007 Task 4 evaluation, without whom this research would not have been possible.
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Girju, R., Nakov, P., Nastase, V. et al. Classification of semantic relations between nominals. Lang Resources & Evaluation 43, 105–121 (2009). https://doi.org/10.1007/s10579-009-9083-2
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DOI: https://doi.org/10.1007/s10579-009-9083-2