Aug 18, 2021 · In this paper, we experiment with transfer learning for the task of relation extraction from biomedical texts, using the TreeLSTM model.

In this paper, we experiment with TL for the task of Relation Extraction (RE) from biomedical texts, using the TreeLSTM model. We empirically show the impact of ...

Aug 18, 2021 · Given the difficulty to manually annotate corpora in the biomedical domain, the proposed transfer learning method offers a promising ...

In this paper, we experiment with TL for the task of Relation Extraction (RE) from biomedical texts, using the TreeLSTM model. We empirically show the impact of ...

Oct 24, 2024 · Results In this paper, we experiment with transfer learning for the task of relation extraction from biomedical texts, using the TreeLSTM model.

This paper empirically shows the impact of TreeLSTM alone and with domain adaptation, and proposes an analysis of the role that syntactic features may play ...

Syntax-based Transfer Learning for the Task of Biomedical Relation Extraction. EMNLP 2018 · Joël Legrand, Yannick Toussaint, Chedy Raïssi, Adrien Coulet ·

Abstract Background Transfer learning aims at enhancing machine learning performance on a problem by reusing labeled data originally designed for a related, ...

Bibliographic details on Syntax-based Transfer Learning for the Task of Biomedical Relation Extraction.

For example, Legrand et al. (2018) used syntax based transfer learning to the biomedical domain successfully adapting a tree long short-term memory (LSTM). And, ...