@inproceedings{2e99b625c3ff4f1e9b8abe8b3fe1f443,
title = "EVALution 1.0: An Evolving Semantic Dataset for Training and Evaluation of Distributional Semantic Models",
abstract = "In this paper, we introduce EVALution 1.0, a dataset designed for the training and the evaluation of Distributional Semantic Models (DSMs). This version consists of almost 7.5K tuples, instantiating several semantic relations between word pairs (including hypernymy, synonymy, antonymy, meronymy). The dataset is enriched with a large amount of additional information (i.e. relation domain, word frequency, word POS, word semantic field, etc.) that can be used for either filtering the pairs or performing an in-depth analysis of the results. The tuples were extracted from a combination of ConceptNet 5.0 andWord- Net 4.0, and subsequently filtered through automatic methods and crowdsourcing in order to ensure their quality. The dataset is freely downloadable1. An extension in RDF format, including also scripts for data processing, is under development.",
author = "Enrico Santus and Frances Yung and Alessandro Lenci and Huang, {Chu Ren}",
note = "Publisher Copyright: {\textcopyright} 2015 Association for Computational Linguistics and Asian Federation of Natural Language Processing.; 4th Workshop on Linked Data in Linguistics: Resources and Applications, LDL 2015 ; Conference date: 31-07-2015",
year = "2015",
month = jul,
doi = "10.18653/v1/W15-4208",
language = "English",
series = "Proceedings of the 4th Workshop on Linked Data in Linguistics: Resources and Applications, LDL 2015 - collocated with 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing, ACL-IJCNLP 2015",
publisher = "Association for Computational Linguistics (ACL)",
pages = "64--69",
editor = "Christian Chiarcos and McCrae, {John Philip} and Petya Osenova and Philipp Cimiano and Nancy Ide",
booktitle = "Proceedings of the 4th Workshop on Linked Data in Linguistics",
address = "United States",
}