This repository contains the SICK corpus (Marelli et al, 2014) processed in different ways to investigate different questions.
Following papers have been published based on this work:
Kalouli, A.-L., A. Buis, L. Real, V. de Paiva and M. Palmer. 2019. Explaining Simple Natural Language Inference. Proceedings of the 13th Linguistic Annotation Workshop @ACL 2019. Florence - Italy (https://www.aclweb.org/anthology/W19-4016/) --> If you are looking for the data used in this work, look in the folder SICK_reannotation_experiment.
Kalouli, A.-L., L. Real, and V. de Paiva. 2018b. WordNet for "Easy" Textual Inferences. Proceedings of the Globalex Workshop of the Language Resources and Evaluation Conference (LREC 2018). Miyazaki - Japan (http://lrec-conf.org/workshops/lrec2018/W33/summaries/18_W33.html)
Kalouli, A.-L., L. Real, and V. de Paiva. 2018a. Annotating Logic Inference Pitfalls. Poster presentation at the Workshop on Data Provenance and Annotation in Computational Linguistics 2018. Prague - Czech Republic (http://ling.uni-konstanz.de/pages/home/kalouli/assets/img/poster_WDP18.pdf)
Kalouli, A.-L., L. Real, and V. de Paiva. 2017. Textual inference: getting logic from humans. Proceedings of the 12th International Conference on Computational Semantics (IWCS 2017). Montpellier - France (http://www.aclweb.org/anthology/W/W17/W17-6915.pdf)
Kalouli, A.-L., L. Real, and V. de Paiva. 2017. Correcting Contradictions. Proceedings of the Computing Natural Language Inference Workshop (CONLI 2017). Montpellier - France (http://www.aclweb.org/anthology/W/W17/W17-7205.pdf)