temporal_natural_language_inference

This is a project for Temporal Natural Language Inference (see paper section below).

Directory Structure

• tnli
  • main codes for modeling, training, and test including dataset.
• TransE
  • codes for knowledge model.
• self_explaining_setup
  • configuration files to setup a foreign model.

More detail, see README in the directory

Paper

Taishi Hosokawa, Adam Jatowt and Kazunari Sugiyama: Temporal Natural Language Inference: Evidence-based Evaluation of Temporal Text Validity. Proceedings of the 45th European Conference on Information Retrieval (ECIR 2023), Dublin, Ireland, Springer LNCS (2023)