Robuta

Md Tahmid Rahman Laskar, Israt Jahan, Elham Dolatabadi, Chun Peng, Enamul Hoque, Jimmy Huang. Proceedings of the 63rd Annual Meeting of the Association for...

Ang Sun, Ralph Grishman, Satoshi Sekine. Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies....

Background: Biomedical relation extraction (RE) is of great importance for researchers to conduct systematic biomedical studies. It not only helps knowledge...

Longhua Qian, Guodong Zhou, Fang Kong, Qiaoming Zhu, Peide Qian. Proceedings of the 22nd International Conference on Computational Linguistics (Coling 2008)....

Taher Rahgooy, Umar Manzoor, Parisa Kordjamshidi. Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational...

Distantly supervised relation extraction (DSRE) utilizes an external knowledge base to automatically label a corpus, which inevitably leads to the problem of...

Abstract page for arXiv paper 2504.05214: Post-Training Language Models for Continual Relation Extraction

We propose a heterogeneous graph attention network to address the problem of dialogue relation extraction. Compared with several popular

10/19/22 - Knowledge-enhanced methods that take advantage of auxiliary knowledge graphs recently emerged in relation extraction, and they sur...

08/03/22 - We present KPI-BERT, a system which employs novel methods of named entity recognition (NER) and relation extraction (RE) to extrac...

04/07/21 - Relation extraction is an important task in knowledge acquisition and text understanding. Existing works mainly focus on improving...

10/29/22 - Relation Extraction (RE) is a fundamental task of information extraction, which has attracted a large amount of research attention...